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diff --git a/Documentation/User Manual/6-changelog/changelog.md b/Documentation/User Manual/6-changelog/changelog.md
index 467b15be9797f69c9909118eacb7ffafafac3629..76297b458808324801490ba696577871e4951f9b 100644
--- a/Documentation/User Manual/6-changelog/changelog.md	
+++ b/Documentation/User Manual/6-changelog/changelog.md	
@@ -1,5 +1,14 @@
 #Changelog
 
+**VECTO 3.3.7**
+
+*** Build 1964 (2020-05-18) OFFICIAL RELEASE***
+
+- Bugfixes
+    * [VECTO-1254] - Hashing method does not ignore certain XML attributes
+    * [VECTO-1259] - Mission profile weighting factors for vehicles of group 16 are not correct
+
+
 **VECTO 3.3.6**
 
 ***Build 1916 (2020-03-31) OFFICIAL RELEASE***
diff --git a/Documentation/User Manual/help.html b/Documentation/User Manual/help.html
index be98b42f7fe012b877c42707f2a5085d62e4ac84..093a026884c8a6433ca44d59a57e7f4b151e1928 100644
--- a/Documentation/User Manual/help.html	
+++ b/Documentation/User Manual/help.html	
@@ -2960,10 +2960,10 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <p>This pedal release decision is based on an estimation of kinetical and potential (height) energy gain versus the expected dissipated energy tue to vehicle resistances during the route section ahead.</p>
 <p>For an upcoming target speed change the energy level after the speed change is compared to the vehicle’s current energy level (kinetic and potential energy). The difference of those energy levels is used to estimate the average deceleration force to reach the next target speed. Coasting starts if the vehicle’s (estimated) average resistance force during coasting multiplied by a speed dependent ‘Decision Factor’ becomes smaller than the average deceleration force. (For details on the equations please see the ACEA White Book 2016, Section 8)</p>
 <p>The <em>Decision Factor (DF)</em> depends on the next target speed and the speed change:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="DF_{Coasting} = 2.5 - 1.5 * DF_{vel} * DF_{vdrop}" title="DF_{Coasting} = 2.5 - 1.5 * DF_{vel} * DF_{vdrop}" /></p>
-<p>whereas <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACwAAAAPBAMAAABtkjCqAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAid2Zu0SrEGYizVTvdjIAbRuUAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA50lEQVQYGWNgYBD6KGgSwMDAbvTZ2OQvAxywJDCwawB5XAkMDLfhogz8DQwM8QUMDPwbGBjiEMIgoXqgKfEFfAzhCGEhIHM+UIcUAyNCkIFhMZATD1StJYZkIQPDb6CwfAED+z+GPqhq1pMMDKzfgRw1BgbuDwxALRBwgIGBUYGBgQMoxbyAAQb4EhgYmAQYGOYA1YFoBt6EIoa713kvgN3GqgoUmQ+UYmhQ52J5sI/lAQPj+kThXKAA43pHIMm+gONRdwAPkIUCuAU4NjMwPEERA3J4G8KfMZQ2bkAT57QNYOxomLwBAMRCLxdTVSeeAAAAAElFTkSuQmCC" alt="DF_{vel}" title="DF_{vel}" /> and <img style="vertical-align:middle" src="data:image/png;base64,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" alt="DF_{vdrop}" title="DF_{vdrop}" /> are speed dependent and speed change dependent lookup curves, giving a value from 0 and 1.</p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="DF_{Coasting} = 2.5 - 1.5 * DF_{vel} * DF_{vdrop}" title="DF_{Coasting} = 2.5 - 1.5 * DF_{vel} * DF_{vdrop}" /></p>
+<p>whereas <img style="vertical-align:middle" src="data:image/png;base64,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" alt="DF_{vel}" title="DF_{vel}" /> and <img style="vertical-align:middle" src="data:image/png;base64,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" alt="DF_{vdrop}" title="DF_{vdrop}" /> are speed dependent and speed change dependent lookup curves, giving a value from 0 and 1.</p>
 <p>For the look ahead coasting target speed changes within the preview distance are considered.</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="preview distance [m] = 10 * vehicle speed [km/h]" title="preview distance [m] = 10 * vehicle speed [km/h]" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="preview distance [m] = 10 * vehicle speed [km/h]" title="preview distance [m] = 10 * vehicle speed [km/h]" /></p>
 <dl>
 <dt>Parameters in <a href="#job-file">Job File</a>:</dt>
 <dd><ul>
@@ -3031,14 +3031,14 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <div id="vehicle-cross-wind-correction" class="section level2">
 <h2>Vehicle: Cross Wind Correction</h2>
 <p>VECTO offers three different modes to consider cross wind influence on the drag coefficient. It is configured in the <a href="#vehicle-file-.vveh">Vehicle File</a>. The aerodymanic force is calculated according to the following equation:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="F_{aero}=1/2 \rho_{air}(C_{d,v}A(v_{veh})) v_{veh}^2" title="F_{aero}=1/2 \rho_{air}(C_{d,v}A(v_{veh})) v_{veh}^2" /></p>
-<p>The speed dependecy of the <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACEAAAAPBAMAAACYbLsaAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEImrmXYi3TJEu+9UZs34ZVP9AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAwUlEQVQYGWNgYGBUdg1IZYAAlgkgWr2BgakSKjL/ApDBtYCBgeMDVOR+AJDhLQAkgKIgwMvuwMDA+QfEPAAiGBjaQBq4NoDZEOIASwEDA78BhMO4lIGBh4EVKM8fABRhA2JLBoYUJa0PDAzcIJEZQAyUPcDA+Y2BgWUB0I0BDExXHwA1MXD8AMqVMjC0MjCsYHVgmAuUA9nMahTawMCxgflA8j8BhsnfLwCFQIDXgF0AwoKRPArtkjA2lPY9DLITBAAC3CSY/anAYAAAAABJRU5ErkJggg==" alt="C_dA" title="C_dA" /> value allows for consideration of average cross widn conditions.</p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="F_{aero}=1/2 \rho_{air}(C_{d,v}A(v_{veh})) v_{veh}^2" title="F_{aero}=1/2 \rho_{air}(C_{d,v}A(v_{veh})) v_{veh}^2" /></p>
+<p>The speed dependecy of the <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACEAAAAQBAMAAABq7AtUAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEHariSJm3UTNu1SZ7zJ6vM+vAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAy0lEQVQYGWNgYGBUdlIIYoAAngcgOr2BgaUCIsDwfgOQwVLIwMDxASqirwBk5AcAiQkQETZZB6Apn0AcIAMEpDkNgJo+QjhgUoEZqJh9AUKE7wFPAQMDvwNEhHERAwMbA9MHoEgCUIQbiC0YGFJcvIAi7A5AXioQX2Bg3MDA8ZWBgQloFusGBpZNExiYgKx/QLkpDAxtDAzrmBwYtgHd8hsownREKYCBr4CnIfinAEPzzwSgEAiwHWAXADPgBLdDuDScA2Gc3qwAFQEA/6IlHXP+9/4AAAAASUVORK5CYII=" alt="C_dA" title="C_dA" /> value allows for consideration of average cross widn conditions.</p>
 <div id="speed-dependent-correction-declaration-mode" class="section level3">
 <h3>Speed dependent correction (Declaration Mode)</h3>
 <p>This is the mode which is used in <a href="#declaration-mode">Declaration Mode</a>.</p>
 <p>The crossind correction is based on the following boundary conditions:</p>
-<p>1 Average wind conditions: The typical conditions are defined with 3m/s of wind at a height of 4m above ground level, blowin uniformly distributed from all directions. 2 Dependency of <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACEAAAAPBAMAAACYbLsaAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEImrmXYi3TJEu+9UZs34ZVP9AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAwUlEQVQYGWNgYGBUdg1IZYAAlgkgWr2BgakSKjL/ApDBtYCBgeMDVOR+AJDhLQAkgKIgwMvuwMDA+QfEPAAiGBjaQBq4NoDZEOIASwEDA78BhMO4lIGBh4EVKM8fABRhA2JLBoYUJa0PDAzcIJEZQAyUPcDA+Y2BgWUB0I0BDExXHwA1MXD8AMqVMjC0MjCsYHVgmAuUA9nMahTawMCxgflA8j8BhsnfLwCFQIDXgF0AwoKRPArtkjA2lPY9DLITBAAC3CSY/anAYAAAAABJRU5ErkJggg==" alt="C_dA" title="C_dA" /> value on yaw angle: The dependency of the <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACQAAAANBAMAAAAzjdFVAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEImrmXYi3TJEu+9UZs34ZVP9AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyklEQVQIHWNggAM2MziTUdk1IBXI69oAEvIEEeoNDEyVQJrHAEhw/gUSXAsYGDg+ABksF4AE71cg4S0AJBYAMXsCkLhQAlT5B8hgOMDAGnMaSHMkrALq2wASYmBYy2AMJHkY3BkY+A3AIrwPGGyBjAMM0UChACCLjYH7AsM2IO2ktJ6BgRskNIMhP4EDaAIPA8P8BAaWBQwMjAEM/QysCyYA9TH0NzAwlDIwtAIVC+QpXOC8wMAgDxRmNQoFSnDqHDMVs3/IwGlfCwDdGydSC1xFDAAAAABJRU5ErkJggg==" alt="CdA" title="CdA" /> value on yaw angle is described by generic <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABYAAAAQBAMAAADgw5IVAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAZnariRCZu+9UMiLNRN3ASDE1AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAfklEQVQIHWNggAHWIhgLSNsisRvAbFY3IQEWoQMMDILKApz8kROqmBIYWARYPzIsZ+BqYJ7AwFbA0MygxMBowBcAVA8Ut2LgdFgXC2SzFDAAtSVOVmBg4EwGSUIBVxeMBaQtYGzmBQz+G6Cc/RMY7GHiLAGsTTA2g4ryBCgbAJEHFEfNJGb7AAAAAElFTkSuQmCC" alt="3^{rd}" title="3^{rd}" /> order polynomial functions of the form:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_dA(\beta) - C_dA(0) = a_1\beta + a_2\beta^2 + a_3\beta^3" title="C_dA(\beta) - C_dA(0) = a_1\beta + a_2\beta^2 + a_3\beta^3" /></p>
+<p>1 Average wind conditions: The typical conditions are defined with 3m/s of wind at a height of 4m above ground level, blowin uniformly distributed from all directions. 2 Dependency of <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACEAAAAQBAMAAABq7AtUAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEHariSJm3UTNu1SZ7zJ6vM+vAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAy0lEQVQYGWNgYGBUdlIIYoAAngcgOr2BgaUCIsDwfgOQwVLIwMDxASqirwBk5AcAiQkQETZZB6Apn0AcIAMEpDkNgJo+QjhgUoEZqJh9AUKE7wFPAQMDvwNEhHERAwMbA9MHoEgCUIQbiC0YGFJcvIAi7A5AXioQX2Bg3MDA8ZWBgQloFusGBpZNExiYgKx/QLkpDAxtDAzrmBwYtgHd8hsownREKYCBr4CnIfinAEPzzwSgEAiwHWAXADPgBLdDuDScA2Gc3qwAFQEA/6IlHXP+9/4AAAAASUVORK5CYII=" alt="C_dA" title="C_dA" /> value on yaw angle: The dependency of the <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACQAAAANBAMAAAAzjdFVAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEHariSJm3UTNu1SZMu+2SNqUAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0ElEQVQIHRWOsU7CUBSGvzYFG5vWicEwSHRkgMjE1BvDAzS8QK+DcSRsjp1chWicO7HSF4DJ4GBMmE2MDKwk1cTJxf8O5zvnfueeey7gXVx1xsDHr8C7w21BcKcc7oT4TwimOtUq/L7DjzDJhJni2ArXe73kNEZxop5XPWru2ylNdNeODOGodAIWDMRPXnXdOEGz5FLJ0pOyqiISy0GN0WipQSN1Q57FNbThIcPX/kbFF35Z0IF8C09wDwmnxkYWzirtfTnP9P+31aaVzgnT5390qymK9mm68AAAAABJRU5ErkJggg==" alt="CdA" title="CdA" /> value on yaw angle is described by generic <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABYAAAAQBAMAAADgw5IVAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAZnaribvvEM2ZMiJURN3i+Cc2AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAgklEQVQIHWNggAH2IBgLSNsisRMgbJWDF1gONTAwCCor8LCtUYhicmBgEWD4xL2VgesB5wUGlgCGZAYhBsYJfAVA9ewfgUbwOOyrAbKZGhgCGBjmHFZgYGCcCeTDAGM4jAWkI2Bs5gUM80EmgMD+Awz2EBYDA0sBexKMzaCifADKBgC1ixbLyHaMZAAAAABJRU5ErkJggg==" alt="3^{rd}" title="3^{rd}" /> order polynomial functions of the form:</p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_dA(\beta) - C_dA(0) = a_1\beta + a_2\beta^2 + a_3\beta^3" title="C_dA(\beta) - C_dA(0) = a_1\beta + a_2\beta^2 + a_3\beta^3" /></p>
 <p>The following table gives the coefficients per vehicle type:</p>
 <table>
 <thead>
@@ -3076,24 +3076,24 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 </tr>
 </tbody>
 </table>
-<p>In a pre-processing step VECTO calculates the function for <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACEAAAAPBAMAAACYbLsaAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEImrmXYi3TJEu+9UZs34ZVP9AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAwUlEQVQYGWNgYGBUdg1IZYAAlgkgWr2BgakSKjL/ApDBtYCBgeMDVOR+AJDhLQAkgKIgwMvuwMDA+QfEPAAiGBjaQBq4NoDZEOIASwEDA78BhMO4lIGBh4EVKM8fABRhA2JLBoYUJa0PDAzcIJEZQAyUPcDA+Y2BgWUB0I0BDExXHwA1MXD8AMqVMjC0MjCsYHVgmAuUA9nMahTawMCxgflA8j8BhsnfLwCFQIDXgF0AwoKRPArtkjA2lPY9DLITBAAC3CSY/anAYAAAAABJRU5ErkJggg==" alt="C_dA" title="C_dA" /> value as a function of vehicle speed. This is done by integration of all possible directions of the ambient wind from ground level to maximum vehicle height considering the boundary layer effect based on the following formulas:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_{d,v}A(v_{veh}) = \frac{1}{2 \pi v_{veh}^2 h_{veh}}\int_{\alpha = 0°}^{\alpha = 360°}{\int_{h=0}^{h=h_{veh}}{C_dA(\beta)\cdot v_{air}(h, \alpha)^2} \text{d}h\ \text{d}\alpha}" title="C_{d,v}A(v_{veh}) = \frac{1}{2 \pi v_{veh}^2 h_{veh}}\int_{\alpha = 0°}^{\alpha = 360°}{\int_{h=0}^{h=h_{veh}}{C_dA(\beta)\cdot v_{air}(h, \alpha)^2} \text{d}h\ \text{d}\alpha}" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{air}(h) = \sqrt{(v_{wind}(h)\cdot\cos\alpha + v_{veh})^2 + (v_{wind}(h)\cdot\sin\alpha)^2}" title="v_{air}(h) = \sqrt{(v_{wind}(h)\cdot\cos\alpha + v_{veh})^2 + (v_{wind}(h)\cdot\sin\alpha)^2}" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{wind}(h) = v_{wind}(h_{ref})\cdot \left(\frac{h}{h_{ref}}\right)^{0.2}" title="v_{wind}(h) = v_{wind}(h_{ref})\cdot \left(\frac{h}{h_{ref}}\right)^{0.2}" /></p>
+<p>In a pre-processing step VECTO calculates the function for <img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACEAAAAQBAMAAABq7AtUAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEHariSJm3UTNu1SZ7zJ6vM+vAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAy0lEQVQYGWNgYGBUdlIIYoAAngcgOr2BgaUCIsDwfgOQwVLIwMDxASqirwBk5AcAiQkQETZZB6Apn0AcIAMEpDkNgJo+QjhgUoEZqJh9AUKE7wFPAQMDvwNEhHERAwMbA9MHoEgCUIQbiC0YGFJcvIAi7A5AXioQX2Bg3MDA8ZWBgQloFusGBpZNExiYgKx/QLkpDAxtDAzrmBwYtgHd8hsownREKYCBr4CnIfinAEPzzwSgEAiwHWAXADPgBLdDuDScA2Gc3qwAFQEA/6IlHXP+9/4AAAAASUVORK5CYII=" alt="C_dA" title="C_dA" /> value as a function of vehicle speed. This is done by integration of all possible directions of the ambient wind from ground level to maximum vehicle height considering the boundary layer effect based on the following formulas:</p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_{d,v}A(v_{veh}) = \frac{1}{2 \pi v_{veh}^2 h_{veh}}\int_{\alpha = 0°}^{\alpha = 360°}{\int_{h=0}^{h=h_{veh}}{C_dA(\beta)\cdot v_{air}(h, \alpha)^2} \text{d}h\ \text{d}\alpha}" title="C_{d,v}A(v_{veh}) = \frac{1}{2 \pi v_{veh}^2 h_{veh}}\int_{\alpha = 0°}^{\alpha = 360°}{\int_{h=0}^{h=h_{veh}}{C_dA(\beta)\cdot v_{air}(h, \alpha)^2} \text{d}h\ \text{d}\alpha}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{air}(h) = \sqrt{(v_{wind}(h)\cdot\cos\alpha + v_{veh})^2 + (v_{wind}(h)\cdot\sin\alpha)^2}" title="v_{air}(h) = \sqrt{(v_{wind}(h)\cdot\cos\alpha + v_{veh})^2 + (v_{wind}(h)\cdot\sin\alpha)^2}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{wind}(h) = v_{wind}(h_{ref})\cdot \left(\frac{h}{h_{ref}}\right)^{0.2}" title="v_{wind}(h) = v_{wind}(h_{ref})\cdot \left(\frac{h}{h_{ref}}\right)^{0.2}" /></p>
 <p>with</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\alpha \ldots \text{direction of ambient wind relative to the vehicle x-axis}" title="\alpha \ldots \text{direction of ambient wind relative to the vehicle x-axis}" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="h \ldots \text{height above ground}" title="h \ldots \text{height above ground}" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="h_{ref} \ldots \text{reference heigth, 4m, for 3m/s average ambient wind}" title="h_{ref} \ldots \text{reference heigth, 4m, for 3m/s average ambient wind}" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{air} \ldots \text{resulting air flow velocity from vehicle speed and ambient wind}" title="v_{air} \ldots \text{resulting air flow velocity from vehicle speed and ambient wind}" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{veh} \ldots \text{vehicle speed}" title="v_{veh} \ldots \text{vehicle speed}" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{wind} \ldots \text{velocity of ambient wind}" title="v_{wind} \ldots \text{velocity of ambient wind}" /></p>
-<p>The generation of the <img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_{d,v}A(v_{veh})" title="C_{d,v}A(v_{veh})" /> curve is demonstrated in <a href="Cdv_Generator_VECTO3.2.xlsx">this Excel sheet</a></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\alpha \ldots \text{direction of ambient wind relative to the vehicle x-axis}" title="\alpha \ldots \text{direction of ambient wind relative to the vehicle x-axis}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="h \ldots \text{height above ground}" title="h \ldots \text{height above ground}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="h_{ref} \ldots \text{reference heigth, 4m, for 3m/s average ambient wind}" title="h_{ref} \ldots \text{reference heigth, 4m, for 3m/s average ambient wind}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{air} \ldots \text{resulting air flow velocity from vehicle speed and ambient wind}" title="v_{air} \ldots \text{resulting air flow velocity from vehicle speed and ambient wind}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{veh} \ldots \text{vehicle speed}" title="v_{veh} \ldots \text{vehicle speed}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="v_{wind} \ldots \text{velocity of ambient wind}" title="v_{wind} \ldots \text{velocity of ambient wind}" /></p>
+<p>The generation of the <img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_{d,v}A(v_{veh})" title="C_{d,v}A(v_{veh})" /> curve is demonstrated in <a href="Cdv_Generator_VECTO3.2.xlsx">this Excel sheet</a></p>
 </div>
 <div id="speed-dependent-correction-user-defined" class="section level3">
 <h3>Speed dependent correction (User-defined)</h3>
 <p>The base C<sub>d</sub>A value (see <a href="#vehicle-file-.vveh">Vehicle File</a>) is corrected with a user-defined speed dependent scaling function. A <a href="#speed-dependent-cross-wind-correction-input-file-.vcdv">vcdv-File</a> is needed for this calculation.</p>
 <p>The C<sub>d</sub>A value given in the vehicle configuration is corrected depending on the vehicle’s speed and the C<sub>d</sub> scaling factor from the input file as follows:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAOAAAAASBAMAAACwWc/AAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEImrmXYi3TJEu+9UZs34ZVP9AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAC6UlEQVQ4Ea1VTWsTURQ9k0yayTSTDIKUWtRoKRVBCa1dFFxkoQgVYaRGK6gEbHHhoulCUFAZ/GgRQUdEdCMJgiC6iQv3Q+1CXA3YoosG8wfEFL+6KOK982aS6SQpWXgh991z7jvnZt68tEBLSE6I0vQQ0S3s0kkO+0m5MNMl7uAkDR41ZjwL2QKmWuyehJlth/I9RkDi96VjP49M/PJRJ6dhE5Fr3qYSHWetIfCLlF94a+QqMExfzQ2WNCKVBc41UK1R+QU7qWVAqXvMVwNa0EDQMdtre8trWh/6FEmakbaBZz7s4HRcpw1lsUmL56AWRB3ISjYAAPktQdWjWEIREbCkK3gkStpS8KvGSk6JDUa2oObpcXuBxDIGCoIRuRIEKNkEkx7FEoq4gAf9yQzbO6lBM1su8radvWbKEg4i14MAb4KIJcBIVCsze3OweWU6OKWzvBGQXvK3jlVwCbBmESu4rEsDcwTkUY4MVT9ECzsMTwLERsd0YqV1fKE8lJ8Bdds7pUmFHvqMA9N799d5IAahUXaDaDFQQM7uQxSAqOVJiDuzhzvJOoj7WMA37rZ36uWBfLEq/CYTvzFA9fXmwCJB7gXiHdUJ031HQgJ8vvMgQ6xco6SQ5DR32zvJZToDA5GVGt8DZZ1PHmuYx6RURP5kz41lwjyweaQThLYDBy7wibKEXkKKHw3xDCcbMLnbwekKcBd4FcvhOY3ecC/zGhwtrtdU80OyRrLQzyJuQDGgmqfgSWgKmwOzPHU3V9zln0Ubp9hI3oRSidoX/+p4/MfRHGCpCuyCs7BqyXYfXQmbPZoxOTQF3MdheBLqSNyNfH9B+Sl9dO5u5aRl4zpLKKSyu2ARzhKdj04p/KfN3fDJvbti76Z8mU5a5+5WTsnMQr+v2ieK8wn9Nvr7MO7wwbXGojLHB9gaqoV7cLtbOZ14b/hSWRTTZxGpOrewYkk5vxVc5dWxIAzUQ1UTbrdLJ4le4qb4r/+A/wH8tMmmOEVVNQAAAABJRU5ErkJggg==" alt="C_dA(v_{veh}) = C_dA * F_C_d(v_{veh})" title="C_dA(v_{veh}) = C_dA * F_C_d(v_{veh})" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_dA(v_{veh}) = C_dA * F_C_d(v_{veh})" title="C_dA(v_{veh}) = C_dA * F_C_d(v_{veh})" /></p>
 <div class="figure">
 <img 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" />
 
@@ -3103,7 +3103,7 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <h3>Correction using Vair &amp; Beta Input</h3>
 <p>The actual (measured) air speed and direction can be used to correct cross-wid influence if available. A <a href="#vair-beta-cross-wind-correction-input-file-.vcdb">vcdb-File</a> is needed for this calculation. This file defines a ΔC<sub>d</sub>A value in [m²] depending on the wind angle. The <a href="#driving-cycles-.vdri">driving cycle</a> must include the air speed relative to the vehicle v<sub>air</sub> (&lt;vair_res&gt;) and the wind yaw angle (&lt;vair_beta&gt;).</p>
 <p>The C<sub>d</sub>A value given in the vehicle configuration is corrected depending on the wind speed and wind angle (given in the driving cycle) using the input file as follows:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_dA(v_veh) = C_dA + {\Delta}C_d(\beta)" title="C_dA(v_veh) = C_dA + {\Delta}C_d(\beta)" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="C_dA(v_veh) = C_dA + {\Delta}C_d(\beta)" title="C_dA(v_veh) = C_dA + {\Delta}C_d(\beta)" /></p>
 <div class="figure">
 <img src="data:image/png;base64,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" />
 
@@ -3926,7 +3926,7 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <div id="vehicle-rolling-resistance-coefficient" class="section level2">
 <h2>Vehicle: Rolling Resistance Coefficient</h2>
 <p>The rolling resistance is calculated using a speed-independent rolling resistance coefficient (RRC). In order to consider that the RRC depends on the vehicle’s mass it is modelled as a function of the total vehicle mass. The total RRC is calculated in VECTO using the following equation (the index i refers to the vehicle’s axle (truck and trailer)):</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="RRC = \sum_{i=1}^{n} s_{(i)} \cdot RRC_{ISO(i)} \cdot \left( \frac{s_{(i)} \cdot m \cdot g }{w_{(i)} \cdot F_{zISO(i)} } \right)^{\beta-1}" title="RRC = \sum_{i=1}^{n} s_{(i)} \cdot RRC_{ISO(i)} \cdot \left( \frac{s_{(i)} \cdot m \cdot g }{w_{(i)} \cdot F_{zISO(i)} } \right)^{\beta-1}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAXwAAAAzBAMAAABmsK70AAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAid2ZuxCrzWZUMiJ270Sf5u5eAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAG7klEQVRoBdVZb2wTZRj/td11117XbqIyooQmZn7AKAP8MyKGkghKNNJoFBZZVr7ogiSUb+IHcoEMhluyU4wbxoQa8QOJhIof0MS4GjMxEUOJX1AjlqgJGJEZ/A9Yn/e9/9fr9a5UJk+ye/4/73Pvvfe+v12B65Def4k3Lbzis3fho3P3+Ay9BmGCEiqwYWITPgcTU4V5PkOvQZiINnWUo34HO4BNfkP/+7jYxB0B2z+OckvbEktNlJNyalISb6qC79nflHyuoqa05rq3qTLfq1k/YF2iq6urBN/tZ4Shpgask5TM13F4m8Uc9yv4To3z3b532cDex7OBU3iCOoe9eERNP9JclavOerjJCgNFljg2VuD5yfmjnF/rSyxtjiiOOHsYGx7Z1P9qQQ8RuoeNZxXKkVUo0GU2KSybo0+i21SYJP14ChNKLKNbj2YHZF0W/iYppmuzxfdbBp5byCKBmNzJbNJC6k5MYwcSOVUDtiHFlwzPuZmus97+Vt6KejlyRcE0iRuYGj9Nl0gnNqOtpGnJGZxnLpUGjXWkWxrxjuo3nKrV6j+NYv35pUvWuHdmhF7SI0ZjHRV8hUF9xhN5sCnXqL2kS365WM2ooe9t+dVvjndcKG362xWURQW7aPnoxilIM9id1NRIL57XPUAibco+pbV/aoHCCn1KfGbWCQuz2dYoimQpVBTDWckw7oaYwXJRC4jlRMvDkti7G4wGqnrXMWOIYBUc0YOKaUiem0Rblh3/Gd34KUIKzhgx3a+XdQ/xUxZZFW+4OGdlFtCY8MmtpQ9sMclqWtdv0gU7b1TBHo39NJqVqP1uCDmrySrzzV43rNYFg7flEMkDGttRQeguw8eFBRfteo3WsII9Y75dRaSIHjne6bAaalgxRGCJRVbFlIwYLSmVhXoA2qts1F61FrC5fFaw5zxkVxFT0Fek99eVjmHCah+3Klw+XETiN0Bl40Wy5e0xwreWl8fuUrWGFexJt9tVIEeGqNOo6XsnO62ewwWrxuTPAXYscyZcZhZbAun7/2DW+tS4gi33pE0j5TX6O+g0uutTitO+Gv2PkY2zED2GWopULTc0MlJ0RjSuYMvQN2LDKGYhyIbmKQzWxF2cvDtLKZyFMyRxuvcZoo2assg8b2NySNasBnOvYLidQk37zgAPPVVyOOOXQAczVJayTLMlbuoKu0FOoRcEoITJENeOFIi5VZCWyDg7Ng1pz056tXRIxsOFv3hqc5eaBhNliDN0HHNG248bpBOrOX00adGXSNDNCCVmOVShi2uFj5GUkcZeCGkTkvFwibefIgwVjKhJoKOXXS3ENu2yuu2XEe4kz6jFq4lbFMMmLcATTDG/W7lWWIO2IkrxPLDGAcniVzP7Ne3ThIfzAtv2ibFlJPFWbWsfJsTdhg7sgZjDpHFDrhUuIbodYEfOZtrSrZBMnX0jO5hQs3guFNCe+RAaoz7P1haM5gxbDj/hFsg9eNcwuVWQyhAeuIwpClrogGRCK1/d0NJliA/JGkNi8fGi0ZchHDMk/LxPxipIef1DHeBagR4PcAEv04tdbrNDMvCzxawYSErxpREoBTFCElZaBdo8n7JaauRoCTLacYheKoXat0GyX2qiTUPozsVz1sqm7pSmKk5LY/2Q44Hcj/B6vOGZFy4Q9Hgb7QUsr4Fkt3llPkiP02OGaaEGJem0I2MfIqP0/nqQcKIUPz4iQ+gbK9RAsmc9EtnKShbqB4xn6/vqeMKy7uhUBQ6vcrqxMWehFkh2wiMjTtg36dGiE2x7lNJdK3VB7FWlWIHeSEW3NuYOSHbBo73EDCqSR0VaWwEpktEShBUVTRoG1muiH+aAZCle5mAvlglfO9Oj+Rq8awsJvmtpu+bTZ9desVVqWuH/qgvKQvoeQiebnTq2zi3ZLTaNra1glDSRideOF6AoYSRa4NKMNIPPTDjHvrABU5VQgXF3yMfgVUBKLDXIhDkBa9jD+ZdKhHJihs6GafJtYH7+hQ3j0L6QuEI+tHXaS82KtpGNGq5E6WhzwDkYm6o75JsqstRZpvNs/FQ2XJEKDjiHk8y1brsMd8h3H3PPNvGDpKM4oIhwwDmJ/1v3ViTrDvnUZRew/ZjME/ozAfPqhif5u9v34tC08wvbjb/zxT3KELkL5Etk6tZs6NiXbxjiN+BRI9AJ57hDzGajrpBP/XHISA4kEEhuFZk/zUXcvrDN65fdId9QMw3sUpNa2H7SmImYyxe2+Lkv3CEfX1FB70AMP0k/AndlW9g+dhpN5EiywDnDbhX0mANWo2/5qBrZyvbFkj66A87pZhvXYqSczepX6VYDW9m+ObQDzpkOi+QnxhLuEHuG1cWTdtivE7WvyBs9c0rl/6eu/wVxexY7gcDXlQAAAABJRU5ErkJggg==" alt="RRC = \sum_{i=1}^{n} s_{(i)} \cdot RRC_{ISO(i)} \cdot \left( \frac{s_{(i)} \cdot m \cdot g }{w_{(i)} \cdot F_{zISO(i)} } \right)^{\beta-1}" title="RRC = \sum_{i=1}^{n} s_{(i)} \cdot RRC_{ISO(i)} \cdot \left( \frac{s_{(i)} \cdot m \cdot g }{w_{(i)} \cdot F_{zISO(i)} } \right)^{\beta-1}" /></p>
 <p>with:</p>
 <table>
 <colgroup>
@@ -4010,7 +4010,7 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <div id="engine-transient-full-load" class="section level2">
 <h2>Engine: Transient Full Load</h2>
 <p>The engine implements a PT1 behaviour to model transient torque build up:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="P_{fld\ dyn_{i}} = \frac{1}{T(n_{i})+1} \cdot \left(P_{fld\ stat}(n_{i})+T(n_{i}) \cdot P_{act_{i-1}}\right)" title="P_{fld\ dyn_{i}} = \frac{1}{T(n_{i})+1} \cdot \left(P_{fld\ stat}(n_{i})+T(n_{i}) \cdot P_{act_{i-1}}\right)" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="P_{fld\ dyn_{i}} = \frac{1}{T(n_{i})+1} \cdot \left(P_{fld\ stat}(n_{i})+T(n_{i}) \cdot P_{act_{i-1}}\right)" title="P_{fld\ dyn_{i}} = \frac{1}{T(n_{i})+1} \cdot \left(P_{fld\ stat}(n_{i})+T(n_{i}) \cdot P_{act_{i-1}}\right)" /></p>
 <p>with:</p>
 <ul>
 <li>n<sub>i</sub> … current engine speed</li>
@@ -4019,10 +4019,10 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <li>P<sub>act i-1</sub> … Engine power in previous time step</li>
 </ul>
 <p>Vecto 3.x uses basically the same PT1 behavior to model transient torque build up. However, due to the dynamic time steps the formula is implemented as follows:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASAAAAAtCAMAAAA5tEbYAAAANlBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABHL6OuAAAAEXRSTlMAid2ZuzKrRCJmEHbvzVRQbHNWwMwAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAUVSURBVGgF3VqJkqQgDAURuZRd//9nN+GwwY62tjjT21RtjTDwEl4OArOMfUnTpuVGtGuJ9glYurdN1XC8Kdyvg+muLT+Mie/yoclftZH2WlcYnay6/3eHD5f1NwNXFYgcWztlBf+jHX11L8Av524VVMP3pKH+4lYsOqBaO4ye65j7UZs3FSbn9d7OwWshyHwzXA/cc4rcNfvyRgTtKleJv2u/Z3HtTNr/BEzPgKFVBsLlHTF2AvZTprrxqibC0y7Eu6vIH7G+b5EqrBHPm5HfkabnFrcwrQmC2NgC+pn4BiP2WTOzcVSpNmbmkgiziWKtwfauQxCKWWIMBbn5ujhAEJQBREpCvJs556K/ehqsNH0f1lGaKPpMGYpMavv6urBSKHYd7BUaos1ke6wymfyY5xo56wP/bdjpgVF80aNdn6dobuYDBOXpB36qXEHEPGdn2kYHkOgp78Ka5wyEAhx5ZR/Le0ZjgvQcRSbXkY3h34btiXwJBEnyPK+senoHsvOeWzY413sUKysfsemE5LHU6mkfpr3jwOjbsFEd75w1ZiiChqwIq1N+nyBjTOluuAUNpDujFTOegbfo1ZtHYn8KpnETHqQS3lbUGExo+4LOqnOAHZhyBBaRZHGAh+9AhFUa9+6D1XzYWE6Zpfhs5Di2S1APcLLgG5dgNA+42yEqIQpdYHSOhM69g9Qel3YWiEymKq3Hqg5iF00MSytMdAgWUKYiovBbh3NJMY8/XcjBUe38riqL176cJqI2ewRxoNpCOFVtMMqHoRQ9qygeQ22x5GpYalGpHOyVS1edSshG5xgsLC6R8TsSBKUJkj0UXrwQND78YIsg2S8tIYwCQmzFD8s1goxVli3si9uKBKVcgQN6mAAuvK1x4x45KXYc8Mv/OK7MxgMBQiztAKzzxioxOVCbGyFY/LaJsUBDqJNRMLSSySwmxGHusB0PslTFHdMKukSILXgZqhmMIdYVfmWQbqwY4Z9batfYMQxMOP1lUBzw+iAmQ+w1rOYMSsJgDpSQTZOI0JhyIMwggaJgaBRBh3OQjc9qNQGIutdCkrbpsA8TBR78oIiEf0MsAh4dCy41MglZYcBSN7nuhoDXsEzPWPmiOYK49A0jISkZdGAIMxCjgy/nyK8FHj7mJ4xLQ9XoNWDZw2OCT3OfmYgJExkw4FU55JeOd8gOWpqyZQl8CBYyngEgxMriIm4sFIOXSh7jD8HpQjEdNPB7y/t54psMWE7kIMTdbpWR47SgLYeagDPZ2ZQLcwfGOUeLq0Er8gVlSxYJG1yRgVuaLC58w06X20PC68Lt/pESSzHdkgjK0Tbfz6VzOMQ0xpkw/nGApI4WplMMtLeDYfQLCq0YDWuNx1upQLdPEsI3uN/KDbiDoFN13suSBpq3/OtLP/1TYle75gC1YwwEqeQLCq3PPiyxhlDj5ucOQgkI6lVpqoVLQUVOh1RZlurkCwq18AUsteTUg9m5g4kStzW29k4dSrOt2ViX7x9cGytfwW4sOzhsd2qfgxCb06qXgs1Zn/6LblX9ttNX38h9Oy1fIt33x5nlQfGlDh89gbxDNNG4J86KJsA/DFK+yrQUff1Pti21uYCl8pX8Aga19L7YpaTdOXbT3/e+I0Uj8b4oX9sZIlyW28H9KtJE30Iu6WTH1X3nEtovL9Zd8WrbSJe7Un8j9U7CqOY3Vr9+UTip0adNf7x+ttEMn2K+q4WH22Zbav0f95sp9nlA/wACFCHcTBin+QAAAABJRU5ErkJggg==" alt="P_{fld\ dyn_{i}} = P_{fld\ stat}(n_i) \cdot \left(1 - e^{-\frac{t_i^*}{\mathit{PT1}}}\right)" title="P_{fld\ dyn_{i}} = P_{fld\ stat}(n_i) \cdot \left(1 - e^{-\frac{t_i^*}{\mathit{PT1}}}\right)" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="P_{fld\ dyn_{i}} = P_{fld\ stat}(n_i) \cdot \left(1 - e^{-\frac{t_i^*}{\mathit{PT1}}}\right)" title="P_{fld\ dyn_{i}} = P_{fld\ stat}(n_i) \cdot \left(1 - e^{-\frac{t_i^*}{\mathit{PT1}}}\right)" /></p>
 <p>where t* is computed from the dynamic full-load power in the previous simulation interval:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="t_i^* = t_{i-1}^* + dt" title="t_i^* = t_{i-1}^* + dt" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="t_{i-1}^* = \mathit{PT1} \cdot ln\left(\frac{1}{1 - \frac{P_{eng_{i - 1}}}{P_{fld\ stat}(n_i)}}\right)" title="t_{i-1}^* = \mathit{PT1} \cdot ln\left(\frac{1}{1 - \frac{P_{eng_{i - 1}}}{P_{fld\ stat}(n_i)}}\right)" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="t_i^* = t_{i-1}^* + dt" title="t_i^* = t_{i-1}^* + dt" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="t_{i-1}^* = \mathit{PT1} \cdot ln\left(\frac{1}{1 - \frac{P_{eng_{i - 1}}}{P_{fld\ stat}(n_i)}}\right)" title="t_{i-1}^* = \mathit{PT1} \cdot ln\left(\frac{1}{1 - \frac{P_{eng_{i - 1}}}{P_{fld\ stat}(n_i)}}\right)" /></p>
 </div>
 <div id="engine-correction-factors" class="section level2">
 <h2>Engine: Correction Factors</h2>
@@ -4032,7 +4032,7 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <p>Based on the target engine operation points of the particular engine in WHTC the fuel consumption is interpolated from the steady state fuel map (“backward calculation”) in each of the three parts of the WHTC separately. The measured specific fuel consumption per WHTC part in [g/kWh] is then divided by the interpolated specific fuel consumption to obtain the “WHTC correction factors” CF<sub>urb</sub> (Urban), CF<sub>rur</sub> (Rural), CF<sub>mot</sub> (Motorway). For the interpolation the same method as for interpolation in VECTO is applied (Delauney triangulation).</p>
 <p>All calculations regarding the brake specific fuel consumption from the interpolation as well as from the measurement and the three correction factors CF<sub>urb</sub>, CF<sub>rur</sub>, CF<sub>mot</sub> are fully implemented in the VECTO-Engine evaluation tool.</p>
 <p>The total correction factor CF<sub>total</sub> depends on the mission profile and is produced in VECTO by mission profile specific weighting factors listed in the table below.</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="CF_{total} = CF_{urb} \cdot WF_{urb} + CF_{rur} \cdot WF_{rur} + CF_{mot} \cdot WF_{mot}" title="CF_{total} = CF_{urb} \cdot WF_{urb} + CF_{rur} \cdot WF_{rur} + CF_{mot} \cdot WF_{mot}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAcoAAAAQBAMAAABkYCISAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEHariSJm3UTNu1SZ7zJ6vM+vAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAEg0lEQVRIDYVXXWgcVRT+dnZ2drPZnaxFqOJDhzUGRG2CyUPyNoRi1LU2iD9oHzIokoKRJNgHUYTpg30QbINWwbd50Jc+tIuEvrRowKrVvKwgiFBlREGxNd1qq2IheM69d3f+7s4e2HvPz3e++c7OndkEQOHueecJYOHyga//xmDbM9MsOTDfuPjYWS+FMn74vHDoKKzv2vq6gucw4IHLi7f/4+Ll13OF5EqNqdAMs+zDfBWoBkArJT8WWgRZ8IHTgNmO5YVLyTEH2KJAWxegXAa++p9AjZA5QvKlxlRkOMx1oNKVMk8IOdploQGcpApJqYRpxBy1u7A5n60XFDqXobgB3AB2CMvfV0oIXZttiNSYigzH6iL10zWuhcAx5tKadZPSI4C9S1Oqi0bAg8DyFCxKaOqWL4D5DGYH1iuAR1CNkCOCAUOkRioyHAX68gEXmEQFPLDe9jmUNwGjC7+UgUyi8FaANymvqasp8xmo747TqLAAjRA55TCpkYoMh3ldaZ7jIQbaIXX/6GS5WdAqLCp4VNDU1ZT5DFYX3pw4DdAIkVMOkxqpyHCUAyX6+wPvKC/aatNsLiVeU8n6qUcc5ca2Txs7tbVRTmjqasp8htHrdvgl2kyhESKnzJVKjZGKDAe9NYSV/sXjgLhj8nXxNp+evtGbQdiSb4bKxTI7z3B4ctEzO3dxmKkDakodA3dIhspNCwcLPKUUIir9RU6ZlNorCrUpFUkOQox5BKfbwEcG+Ih7q2K+Ort9E7+kJIJORT/3M3t/+LRc+61hdD1ysvXPpufenZ6hio6BOySDvXsMk4JaChEVudCB+kAcqKTUHkKoTalIchCi7BL8RfFAkdPhXjmfmIFDYUdptWh6elv3baLvLZ2HtRtyqKmre6lj6BOgdKuN1R2O+TclberEupTvS+1horsRqUhyEMIg0lKbRmOKq+/D2DzxlYfWBJoUR8/lvRQdps+39MEL2G+0juDDFQ7Y9gWo3BCepq6mTDCMn/MVieiiP8D+o3PvciCEEL01ZYQE4xTklAmpex6+8PSmUiswcRWCI4E4BRwn2JJPi+FgFmtNVMNxnFG9chtxUfHEQ0P3tNx4r/3jx/imGCrMWBs2/6DyQ5WpqynjDKP1KxOKRDHgFp17OitKCNF76yOH61ccUZdTIi7V2zWCslQrILT0VchhEgjjYpPYzbMzhKuG9hq6Z/ArLsnD2yMA7p+/h4JH/3JpfRadpwLYQdWngK1I87ns6OpqyjhD6bkeCTcJmwKeZEcKIfrSRp1hwtSUcal2UPT3SrUKFKmQHBqERNZhbVU2OljBuh30mrP7uB1YDiy33sjWOJOs96aMY5/vgeLJmE/0hvs7CCZMTakisRlOuXFBqo2nY/5AxJ3W6Fb1pw1vs7R+rhVrSLkt876ij4qzmcr3wmS9oPkuZuk/A0HSa0ntRG+259sEE3ZbqkxhMdyL2ZeE2mxRZAYiap/gof3YDmvnHyxtD2im9NXj21XavnAGQIbVgaBPoqcgevvSSptgg6yKX9AMhdoBkBjifzpkjoxhhmH3AAAAAElFTkSuQmCC" alt="CF_{total} = CF_{urb} \cdot WF_{urb} + CF_{rur} \cdot WF_{rur} + CF_{mot} \cdot WF_{mot}" title="CF_{total} = CF_{urb} \cdot WF_{urb} + CF_{rur} \cdot WF_{rur} + CF_{mot} \cdot WF_{mot}" /></p>
 <p>with the correction factor CF<sub>urb</sub>, CF<sub>rur</sub>, CF<sub>mot</sub> coming from the <a href="#engine-file-.veng">Engine</a>, and weighting factors WF<sub>urb</sub>, WF<sub>rur</sub>, WF<sub>mot</sub> predefined in the declaration data:</p>
 <table>
 <thead>
@@ -4094,14 +4094,14 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 </tr>
 </tbody>
 </table>
-<p>In order to balance the trade-off between emissions and fuel consumption during cold and hot starting conditions an additional balancing factor <img style="vertical-align:middle" src="data:image/png;base64,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" alt="CF_{C/H}" title="CF_{C/H}" /> is determined from the overall specific fuel consumption over the cold start and hot start WHTC test. Additional correction factors considered are regarding the net calorific value of the fuel (<img style="vertical-align:middle" src="data:image/png;base64,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" alt="CF_{NCV}" title="CF_{NCV}" />) and exhaust after-treatment systems (<img style="vertical-align:middle" src="data:image/png;base64,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" alt="CF_{RegPer}" title="CF_{RegPer}" />). This values are part of the output from the engine component tool.</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="NCV_{stdEngine}" title="NCV_{stdEngine}" />: Net calorific value as defined as refernce value for engine testing (Pt. 5.3.3.1 of Annex V), see <a href="#fuel-properties">Fuel properties</a></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="NCV_{stdVECTO}" title="NCV_{stdVECTO}" />: Net calorific value defined as reference value for vehicle CO2 certification, see <a href="#fuel-properties">Fuel properties</a></p>
-<p>The WHTC-corrected fuel consumption is then calculated with: <img style="vertical-align:middle" src="data:image/png;base64,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" alt="FC_{final} = FC \cdot CF_{total} \cdot CF_{C/H} \cdot CF_{RegPer} \cdot \frac{NCV_{stdEngine}}{NCV_{stdVECTO}}" title="FC_{final} = FC \cdot CF_{total} \cdot CF_{C/H} \cdot CF_{RegPer} \cdot \frac{NCV_{stdEngine}}{NCV_{stdVECTO}}" /></p>
+<p>In order to balance the trade-off between emissions and fuel consumption during cold and hot starting conditions an additional balancing factor <img style="vertical-align:middle" src="data:image/png;base64,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" alt="CF_{C/H}" title="CF_{C/H}" /> is determined from the overall specific fuel consumption over the cold start and hot start WHTC test. Additional correction factors considered are regarding the net calorific value of the fuel (<img style="vertical-align:middle" src="data:image/png;base64,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" alt="CF_{NCV}" title="CF_{NCV}" />) and exhaust after-treatment systems (<img style="vertical-align:middle" src="data:image/png;base64,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" alt="CF_{RegPer}" title="CF_{RegPer}" />). This values are part of the output from the engine component tool.</p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="NCV_{stdEngine}" title="NCV_{stdEngine}" />: Net calorific value as defined as refernce value for engine testing (Pt. 5.3.3.1 of Annex V), see <a href="#fuel-properties">Fuel properties</a></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="NCV_{stdVECTO}" title="NCV_{stdVECTO}" />: Net calorific value defined as reference value for vehicle CO2 certification, see <a href="#fuel-properties">Fuel properties</a></p>
+<p>The WHTC-corrected fuel consumption is then calculated with: <img style="vertical-align:middle" src="data:image/png;base64,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" alt="FC_{final} = FC \cdot CF_{total} \cdot CF_{C/H} \cdot CF_{RegPer} \cdot \frac{NCV_{stdEngine}}{NCV_{stdVECTO}}" title="FC_{final} = FC \cdot CF_{total} \cdot CF_{C/H} \cdot CF_{RegPer} \cdot \frac{NCV_{stdEngine}}{NCV_{stdVECTO}}" /></p>
 </div>
 <div class="engineering">
 <p>In engineering mode a single correction is applied by Vecto. The fuel consumption interpolated from the FC map is multiplied by the engineering correction factor.</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="FC_{final} = FC \cdot CF_{Engineering}" title="FC_{final} = FC \cdot CF_{Engineering}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="FC_{final} = FC \cdot CF_{Engineering}" title="FC_{final} = FC \cdot CF_{Engineering}" /></p>
 </div>
 </div>
 <div id="engine-torque-and-engine-speed-limitations" class="section level2">
@@ -4241,7 +4241,7 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <div id="transmission-losses" class="section level2">
 <h2>Transmission Losses</h2>
 <p>Every transmission component (gearbox, angledrive, axlegear, …) uses the following formula for calculating the torques at input and output side of the component:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="T_{output} = (T_{input} - T_{loss}) * r_{gear}" title="T_{output} = (T_{input} - T_{loss}) * r_{gear}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="T_{output} = (T_{input} - T_{loss}) * r_{gear}" title="T_{output} = (T_{input} - T_{loss}) * r_{gear}" /></p>
 <p>with:</p>
 <ul>
 <li>T<sub>output</sub> … Output torque</li>
@@ -4284,14 +4284,14 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 </div>
 <div id="power-shift-loss-computation" class="section level4">
 <h4>Power-shift loss computation</h4>
-<p>Model parameters: shift time (<img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAwAAAAPBAMAAAAizzN6AAAALVBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAOrOgAAAADnRSTlMAIjK7Zu+Jzd1EqxB2VLVGHJMAAAAJcEhZcwAADsQAAA7EAZUrDhsAAABLSURBVAgdY2BgVGAAAWYHMMUnAKZUwaRaRQqYNgGTDA/BFGcAmGJbAKaYHXYynPVm4FA4wJhwiIE3RYDx8QSwxBawMmUGsLItdxQA0mENSf2esYkAAAAASUVORK5CYII=" alt="t_s" title="t_s" />), inertia factor (<img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQBAMAAADt3eJSAAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEJl2u1Tdic1EZu8yqyJi4sUJAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAaElEQVQIHWNgYGAQMgISIOAaBKEZP0JoBtYEqEBZ+wQIi2UBhGbgPsDAd9sAyJEHYrAB04AML5CsLRD/AzEuMzDwbAAxMhkYuBxAjA8MDLxATYycQB7QBAbu5RMY+PQLGBjYF4OkGRgA7ugP0piSfWQAAAAASUVORK5CYII=" alt="f_I" title="f_I" />)</p>
+<p>Model parameters: shift time (<img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAwAAAAPBAMAAAAizzN6AAAALVBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAOrOgAAAADnRSTlMAELt2Mu9Eic1mIqtU3XZzvlQAAAAJcEhZcwAADsQAAA7EAZUrDhsAAABLSURBVAgdY2BgFGAAASYDMMXnAKZcwWR6RyWY1gSTDK/AFFsAmGLfAKY4JsgwzJnAwOtgwFIwhYHHZgHLawewhDtYmTcDWJlkpgMA5LMML4zHHM0AAAAASUVORK5CYII=" alt="t_s" title="t_s" />), inertia factor (<img style="vertical-align:middle" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAARBAMAAAAmgTH3AAAAMFBMVEX///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAdmZU3TIiRM0Qibvvq5mze/DLAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAbklEQVQIHWNgYGBgVAYSIKBoAqEZXNMhDLYPUAHmBgiDc0lXAYTFrQChGXgCGNiegDjzgVgOJFgCxJtBDFkg/gZiXGRgYDsApBmOMjAwXQDSnECDeQUYGNgnA3ksAQwM/HUBDJzyQBEmJZA6BgYAKZAQCYgW7SYAAAAASUVORK5CYII=" alt="f_I" title="f_I" />)</p>
 <div class="figure">
 <img 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" alt="Engine speed, clutch speed during power-shift" />
 <p class="caption">Engine speed, clutch speed during power-shift</p>
 </div>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="T_{PS,loss} = |T_{GBX,in} * \Delta\omega_F| * t_s / dt" title="T_{PS,loss} = |T_{GBX,in} * \Delta\omega_F| * t_s / dt" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\Delta\omega_I = \omega_{engine,1} - \omega_{engine,2}" title="\Delta\omega_I = \omega_{engine,1} - \omega_{engine,2}" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\Delta\omega_F = (\omega_{engine,1} - \omega_{engine,1^*}) / 2" title="\Delta\omega_F = (\omega_{engine,1} - \omega_{engine,1^*}) / 2" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="T_{PS,loss} = |T_{GBX,in} * \Delta\omega_F| * t_s / dt" title="T_{PS,loss} = |T_{GBX,in} * \Delta\omega_F| * t_s / dt" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\Delta\omega_I = \omega_{engine,1} - \omega_{engine,2}" title="\Delta\omega_I = \omega_{engine,1} - \omega_{engine,2}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\Delta\omega_F = (\omega_{engine,1} - \omega_{engine,1^*}) / 2" title="\Delta\omega_F = (\omega_{engine,1} - \omega_{engine,1^*}) / 2" /></p>
 </div>
 </div>
 </div>
@@ -4505,8 +4505,8 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <li><strong>Input Torque</strong> (T<sub>ref(ν)</sub>) is the input torque (over ν) for a specific reference engine speed (see below).</li>
 </ul>
 <p>The Input Torque at  reference engine speed is needed to calculate the actual engine torque using this formula:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="T_{in} = T_{ref}(v) \cdot ( \frac{n_{in}}{n_{ref}} )^{2}" title="T_{in} = T_{ref}(v) \cdot ( \frac{n_{in}}{n_{ref}} )^{2}" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\mu(\nu) = \frac{T_{out}}{T_{in}}" title="\mu(\nu) = \frac{T_{out}}{T_{in}}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="T_{in} = T_{ref}(v) \cdot ( \frac{n_{in}}{n_{ref}} )^{2}" title="T_{in} = T_{ref}(v) \cdot ( \frac{n_{in}}{n_{ref}} )^{2}" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\mu(\nu) = \frac{T_{out}}{T_{in}}" title="\mu(\nu) = \frac{T_{out}}{T_{in}}" /></p>
 <p>with:</p>
 <ul>
 <li>T<sub>in</sub> = engine torque [Nm]</li>
@@ -4519,8 +4519,8 @@ Example: “Gears\Gear1.vtlm” points to the “Gears” subdirectory of the Ge
 <div class="declaration">
 <p>In declaration mode, the torque converter for drag points is automatically appended by VECTO. Input data with a speed ratio ≥ 1 are skipped.</p>
 <p>For Power Split transmissions, where the torque converter characteristics already contains the gearbox losses and transmission ratio, the generic drag points are adapted according to the following equations:</p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\nu_{PS} = \nu / ratio_i" title="\nu_{PS} = \nu / ratio_i" /></p>
-<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\mu_{PS} = \mu \cdot ratio_i" title="\mu_{PS} = \mu \cdot ratio_i" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\nu_{PS} = \nu / ratio_i" title="\nu_{PS} = \nu / ratio_i" /></p>
+<p><img style="vertical-align:middle" src="data:image/png;base64,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" alt="\mu_{PS} = \mu \cdot ratio_i" title="\mu_{PS} = \mu \cdot ratio_i" /></p>
 </div>
 <div class="engineering">
 <p>In engineering mode the drag points for the torque converter can be specified. If so, the input data has to cover at least the speed ratio up to 2.2.</p>
@@ -6944,7 +6944,7 @@ CycleTime,UnknownCycleName,3600</code></pre>
 <h2>Modal Results (.vmod)</h2>
 <p>Modal results are only created if enabled in the <a href="#main-form">Options</a> tab. One file is created for each calculation and stored in the same directory as the .vecto file.</p>
 <p>In Vecto 3 the structure of the modal data output has been revised and re-structured. Basically for every powertrain component the .vmod file contains the power at the input shaft and the individual power losses for every component. For the engine the power, torque and engine speed at the output shaft is given along with the internal power and torque used for computing the fuel consumption. See <a href="#powertrain-and-components-structure">Powertrain and Components Structure</a> for schematics how the powertrain looks like and which positions in the powertrain the values represent.</p>
-<p>Every line in the .vmod file represents the simulation interval from time - dt/2 to time + dt/2. All values represent the average power/torque/angular velocity during this simulation interval. If a certain power value can be described as function of the vehicle’s acceleration the average power is calculated by <img style="vertical-align:middle" src="data:image/png;base64,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" alt="P_{avg} = \frac{1}{simulation interval} \int{P(t) dt}" title="P_{avg} = \frac{1}{simulation interval} \int{P(t) dt}" />. <strong>Note:</strong> Columns for the torque converter operating point represent the torque/angular speed at the end of the simulation interval!</p>
+<p>Every line in the .vmod file represents the simulation interval from time - dt/2 to time + dt/2. All values represent the average power/torque/angular velocity during this simulation interval. If a certain power value can be described as function of the vehicle’s acceleration the average power is calculated by <img style="vertical-align:middle" src="data:image/png;base64,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" alt="P_{avg} = \frac{1}{simulation interval} \int{P(t) dt}" title="P_{avg} = \frac{1}{simulation interval} \int{P(t) dt}" />. <strong>Note:</strong> Columns for the torque converter operating point represent the torque/angular speed at the end of the simulation interval!</p>
 <p>The following table lists the columns in the .vmod file:</p>
 <p><strong><em>Quantities:</em></strong></p>
 <table style="width:94%;">
@@ -7621,6 +7621,15 @@ CycleTime,UnknownCycleName,3600</code></pre>
 </div>
 <div id="changelog" class="section level1">
 <h1>Changelog</h1>
+<p><strong>VECTO 3.3.7</strong></p>
+<p>*** Build 1964 (2020-05-18) OFFICIAL RELEASE***</p>
+<ul>
+<li>Bugfixes
+<ul>
+<li>[VECTO-1254] - Hashing method does not ignore certain XML attributes</li>
+<li>[VECTO-1259] - Mission profile weighting factors for vehicles of group 16 are not correct</li>
+</ul></li>
+</ul>
 <p><strong>VECTO 3.3.6</strong></p>
 <p><strong><em>Build 1916 (2020-03-31) OFFICIAL RELEASE</em></strong></p>
 <ul>
diff --git a/HashingTool/Properties/Version.cs b/HashingTool/Properties/Version.cs
index 9a6ec746449f28a5b32ca5a340231acf7ca9079a..25ca907e85f01172efa485f9ad1f387eaba89e11 100644
--- a/HashingTool/Properties/Version.cs
+++ b/HashingTool/Properties/Version.cs
@@ -30,5 +30,5 @@
 */
 
 using System.Reflection;
-[assembly: AssemblyVersion("0.2.0.1916")]
-[assembly: AssemblyFileVersion("0.2.0.1916")]
+[assembly: AssemblyVersion("0.2.0.1964")]
+[assembly: AssemblyFileVersion("0.2.0.1964")]
diff --git a/VectoCommon/VectoCommon/Properties/Version.cs b/VectoCommon/VectoCommon/Properties/Version.cs
index b8e0efb8f861e32c5b8541672290b4f7e9313b71..c5f2fcc42dc3425edd0da19cf81d28a4629fa536 100644
--- a/VectoCommon/VectoCommon/Properties/Version.cs
+++ b/VectoCommon/VectoCommon/Properties/Version.cs
@@ -30,5 +30,5 @@
 */
 
 using System.Reflection;
-[assembly: AssemblyVersion("3.3.6.1916")]
-[assembly: AssemblyFileVersion("3.3.6.1916")]
\ No newline at end of file
+[assembly: AssemblyVersion("3.3.7.1964")]
+[assembly: AssemblyFileVersion("3.3.7.1964")]
\ No newline at end of file
diff --git a/VectoCommon/VectoHashing/Properties/Version.cs b/VectoCommon/VectoHashing/Properties/Version.cs
index fbd6a9179982a55beb95c537d2c6014b1f22abad..83fa5d2a1ace944e0aca4db903efea5fcb21463b 100644
--- a/VectoCommon/VectoHashing/Properties/Version.cs
+++ b/VectoCommon/VectoHashing/Properties/Version.cs
@@ -30,5 +30,5 @@
 */
 
 using System.Reflection;
-[assembly: AssemblyVersion("1.2.0.1916")]
-[assembly: AssemblyFileVersion("1.2.0.1916")]
+[assembly: AssemblyVersion("1.2.0.1964")]
+[assembly: AssemblyFileVersion("1.2.0.1964")]
diff --git a/VectoConsole/Properties/Version.cs b/VectoConsole/Properties/Version.cs
index 0cb9e2569601ea05e888fd2b3c6ff415226e24db..76215eeb752f7e9796ebdb682c16cca1f713065b 100644
--- a/VectoConsole/Properties/Version.cs
+++ b/VectoConsole/Properties/Version.cs
@@ -30,5 +30,5 @@
 */
 
 using System.Reflection;
-[assembly: AssemblyVersion("3.3.6.1916")]
-[assembly: AssemblyFileVersion("3.3.6.1916")]
\ No newline at end of file
+[assembly: AssemblyVersion("3.3.7.1964")]
+[assembly: AssemblyFileVersion("3.3.7.1964")]
\ No newline at end of file
diff --git a/VectoCore/VectoCore/Properties/Version.cs b/VectoCore/VectoCore/Properties/Version.cs
index 87de29294f63c817e9da1e422c4c43cef6d3c5b3..d889aa39fbb4bec36deb6cdcb4624d8e750a5dd1 100644
--- a/VectoCore/VectoCore/Properties/Version.cs
+++ b/VectoCore/VectoCore/Properties/Version.cs
@@ -30,5 +30,5 @@
 */
 
 using System.Reflection;
-[assembly: AssemblyVersion("3.3.6.1916")]
-[assembly: AssemblyFileVersion("3.3.6.1916")]
+[assembly: AssemblyVersion("3.3.7.1964")]
+[assembly: AssemblyFileVersion("3.3.7.1964")]
diff --git a/VectoCore/VectoCore/Utils/VectoVersionCore.cs b/VectoCore/VectoCore/Utils/VectoVersionCore.cs
index 039394a2d498f3856793c95c7ee53d535939df17..b0f20093909f3d37206540f4ab2d3959cebdd46b 100644
--- a/VectoCore/VectoCore/Utils/VectoVersionCore.cs
+++ b/VectoCore/VectoCore/Utils/VectoVersionCore.cs
@@ -47,7 +47,7 @@ namespace TUGraz.VectoCore.Utils
 		public static string VersionNumber
 		{
 			get {
-				return "3.3.6.1916" + SUFFIX;
+				return "3.3.7.1964" + SUFFIX;
 			}
 		}
 
diff --git a/VectoCore/VectoCore/VersionNumber.t4 b/VectoCore/VectoCore/VersionNumber.t4
index 35b665fafc93794fd94dfc3fcb882675bd20ff37..1b8af1d3f4c506e71a4e3b34e22ecfb1c0e24628 100644
--- a/VectoCore/VectoCore/VersionNumber.t4
+++ b/VectoCore/VectoCore/VersionNumber.t4
@@ -6,6 +6,6 @@ int GetBuildNumber()
 
 string GetVectoCoreVersionNumber()
 {
-	return "3.3.6." + GetBuildNumber();
+	return "3.3.7." + GetBuildNumber();
 }
 #>
\ No newline at end of file