diff --git a/Documentation/User Manual/3-simulation-models/PTO.md b/Documentation/User Manual/3-simulation-models/PTO.md index 755033f69852d88baf2d60315d0ac4d0416c4a51..a2b51e0485a4781d152c49b8d0f4c7ab478a0e8f 100644 --- a/Documentation/User Manual/3-simulation-models/PTO.md +++ b/Documentation/User Manual/3-simulation-models/PTO.md @@ -25,19 +25,19 @@ This is considered by constant power consumption as a function of the PTO type. #### Idling losses of the PTO "Consumer" (red) -The idling losses are a function of speed as determined by the DIN 30752-1 procedure. If the PTO transmission includes a shifting element (i.e. declutching of consumer part possible) the torque losses of the consumer in VECTO input shall be defined with zero. This is only used outside of PTO cycles, since the PTO cycles already include these losses. The idling losses are defined as a lossmap dependend on speed which is configurable in the [Vehicle Editor](#vehicle-editor). The file format is described in [PTO-Consumer](#pto-consumer). +The idling losses are a function of speed as determined by the DIN 30752-1 procedure. If the PTO transmission includes a shifting element (i.e. declutching of consumer part possible) the torque losses of the consumer in VECTO input shall be defined with zero. This is only used outside of PTO cycles, since the PTO cycles already include these losses. The idling losses are defined as a lossmap dependend on speed which is configurable in the [Vehicle Editor](#vehicle-editor). The file format is described in [PTO Idle Consumption Map](#pto-idle-consumption-map-.vptoi). #### Cycle losses during the PTO cycle of the PTO "Consumer" (red) A specific PTO cycle (time-based, engine speed and torque from PTO consumer as determined by the DIN 30752-1 procedure) is simulated during vehicle stops labelled as "with PTO activation". The execution of the driving cycle stops during this time and the pto cycle is executed. Afterwards the normal driving cycle continues. -Power consumption in the PTO transmission part added to power demand from the PTO cycle. The cycle is configurable in the [Vehicle Editor](#vehicle-editor) and follows the file format described in [PTO-Cycle](#pto-cycle). The timings in the PTO cycle get shifted to start at 0. +Power consumption in the PTO transmission part added to power demand from the PTO cycle. The cycle is configurable in the [Vehicle Editor](#vehicle-editor) and follows the file format described in [PTO-Cycle](#pto-cycle-.vptoc). The timings in the PTO cycle get shifted to start at 0. ### Behavior During PTO Driving Cycles -A PTO cycle can only be activated during a stop phase in the driving cycle. When the PTO cycle is activated VECTO exhibits the following behavior: Half of the stop time is added before the pto cycle, and the other half is added afterwards. If the halved stop times are still longer than 3 seconds, they get divided even further to 3 intervals in order to achieve a more appealing visualization in the output (falling down, low baseline, rising again). +A PTO cycle can only be activated during a stop phase in the driving cycle. When the PTO cycle is activated VECTO exhibits the following behavior: Half of the stop time is added before the pto cycle, and the other half is added afterwards. If the halved stop times are still longer than 3 seconds, they get divided even further to 3 intervals in order to achieve a more appealing visualization in the output (falling down, low baseline, rising again). It is recommended to have a stop time of at least 2 seconds. The following image shows the behavior of running PTO cycles during a normal driving cycle: diff --git a/Documentation/User Manual/5-input-and-output-files/VDRI.md b/Documentation/User Manual/5-input-and-output-files/VDRI.md index 4739256603e481d3b3c4eb8968aa2107ac28043f..d9d9c3c8304995f40b9e1f3a273911ae48cf7756 100644 --- a/Documentation/User Manual/5-input-and-output-files/VDRI.md +++ b/Documentation/User Manual/5-input-and-output-files/VDRI.md @@ -1,176 +1,176 @@ -##Driving Cycles - -A Driving Cycle defines the parameters of a simulated route in Vecto. It is either time-based or distance-based and has different fields depending on the driving cycle type. -The basic file format is [Vecto-CSV](#csv) and the file type ending is ".vdri". A Job must have at least one driving cycle (except in Declaration mode, where the driving cycles are predefined). - -###Driving Cycle Types -- **Declaration Mode**: [Target speed, distance-based](#declaration-mode-cycles) -- **Engineering Mode**: - - [Target speed, distance-based](#engineering-mode-target-speed-distance-based-cycle) - - [Measured speed, time-based](#engineering-mode-measured-speed-time-based-cycle) - - [Measured speed with gear, time-based](#engineering-mode-measured-speed-with-gear-time-based-cycle) - - [Pwheel (SiCo) Mode, time-based](#engineering-mode-pwheel-sico-time-based) -- **Engine Only Mode**: [Engine Only Mode, time-based](#engine-only-mode-engine-only-driving-cycle) - - -- Distance-based cycles can be defined in any distance resolution, including variable distance steps. -- Time-based cycles can be defined in any time resolution, including variable time steps. - -###Declaration Mode Cycles -In Declaration Mode driving cycles are automatically chosen depending on vehicle category and cannot be changed by the user. These predefined cycles are of type target-speed, distance-based. - -- Coach: 275km -- Construction: 21km -- Heavy Urban: 30km -- Inter Urban: 123km -- Long Haul: 100km -- Municipal Utility: 10km -- Regional Delivery: 26km -- Sub Urban: 23km -- Urban: 40km -- Urban Delivery: 28km - -###Engineering Mode: Target-Speed, Distance-Based Cycle -This driving cycle defines the target speed over distance. Vecto tries to achieve and maintain this target speed. - -Header: **\<s>, \<v>, \<stop>***\[, \<Padd>]\[, \<grad>]\[, \<PTO>]\[, \<vair\_res>, \<vair\_beta>]\[, \<Aux\_ID>]* - -**Bold columns** are mandatory. *Italic columns* are optional. Only the listed columns are allowed (no other columns!).<br /> -Units are optional and are enclosed in [square-brackets] after the header-column. Comments may be written with a preceding hash-sign "#". - -| Identifier | Unit | Description | -|-------------|--------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| **s** | [m] | Traveled distance. Must always be increasing. | -| **v** | [km/h] | The target vehicle velocity. Must be >= 0 km/h. | -| **stop** | [s] | Stopping Time. Defines the time span the vehicle is standing still (time the vehicle spending in a stop phase). After this time, the vehicle tries to accelerate to \<v>. | -| *Padd* | [kW] | Additional auxiliary power demand. This power demand will be directly added to the engine power in addition to possible other auxiliaries. Must be >= 0 kW. | -| *grad* | [%] | The road gradient. | -| *PTO* | [0/1] | "0"=disabled or "1"=enabled. If at a vehicle stop (defined by target velocity=0) "1" is specified, the PTO cycle as specified in the *.vptoc–File is simulated. The PTO activation is added to the simulation time in the middle of the stopping time as defined by the cycle parameter "stop". The PTO Cycle can be specified in the [**Vehicle Editor**](#vehicle-editor). | -| *vair_res* | [km/h] | Air speed relative to vehicle for cross wind correction. Only required if [**Cross Wind Correction**](#cross-wind-correction) is set to **Vair & Beta Input**. | -| *vair_beta* | [°] | Wind Yaw Angle for cross wind correction. Only required if [**Cross Wind Correction**](#cross-wind-correction) is set to **Vair & Beta Input**. | -| *Aux_ID* | [kW] | Auxiliary Supply Power. Can be defined multiple times with different Identifiers. The supply power input for each auxiliary defined in the [.vecto file](#job-file) with the corresponding ID. ID's are not case sensitive and must only contain letters and numbers [a-z,A-Z,0-9]. Must be >= 0 kW. | - - -**Example:** - -| \<s> [m] | \<v> [km/h] | \<stop> [s] | \<grad> [%] | \<Padd> [kW] | -| -------- | ----------- | ----------- | ----------- | ------------ | -| 0 | 10 | 10 | 2.95 | 1.5 | -| 1 | 20 | 0 | 2.97 | 1.3 | -| 2 | 35 | 0 | 3.03 | 1.3 | -| 3 | 50 | 0 | 2.99 | 1.3 | - -###Engineering Mode: Measured-Speed, Time-Based Cycle -This driving cycle defines the actual measured speed over time. Vecto tries to simulate the vehicle model using this speed as the actual vehicle speed. -Due to differences in the real and simulated shift strategies a small difference in speed can occur, but Vecto immediately tries to catch up after the gear is engaged again. - -Header: **\<t>, \<v>***\[, \<grad>]\[, \<Padd>]\[, \<vair\_res>, \<vair\_beta>\]\[, \<Aux\_ID>]* - -**Bold columns** are mandatory. *Italic columns* are optional. Only the listed columns are allowed (no other columns!).<br /> -Units are optional and are enclosed in [square-brackets] after the header-column. Comments may be written with a preceding hash-sign "#". - -| Identifier | Unit | Description | -| ----------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -| **t** | [s] | The absolute time. Must always be increasing. | -| **v** | [km/h] | The actual velocity of the vehicle. Must be >= 0 km/h. | -| *Padd* | [kW] | Additional auxiliary power demand. This power demand will be directly added to the engine power in addition to possible other auxiliaries. Must be >= 0 kW. | -| *grad* | [%] | The road gradient. | -| *vair_res* | [km/h] | Air speed relative to vehicle for cross wind correction. Only required if [**Cross Wind Correction**](#cross-wind-correction) is set to **Vair & Beta Input**. | -| *vair_beta* | [°] | Wind Yaw Angle for cross wind correction. Only required if [**Cross Wind Correction**](#cross-wind-correction) is set to **Vair & Beta Input**. | -| *Aux_ID* | [kW] | Auxiliary Supply Power. Can be defined multiple times with different Identifiers. The supply power input for each auxiliary defined in the [.vecto file](#job-editor) with the corresponding ID. ID's are not case sensitive and must only contain letters and numbers [a-z,A-Z,0-9]. Must be >= 0 kW. | - -**Example:** - -| \<t> [s] | \<v> [km/h] | \<grad> [%] | \<Padd> [kW] | -| -------- | ----------- | ----------- | ------------ | -| 0 | 0 | 2.95 | 1.5 | -| 1 | 0.6 | 2.97 | 1.3 | -| 2 | 1.2 | 3.03 | 1.3 | -| 3 | 2.4 | 2.99 | 1.3 | - - -###Engineering Mode: Measured-Speed With Gear, Time-Based Cycle - -This driving cycle defines the actual measured speed of the vehicle, the gear, and the engine speed over time. -It overrides the shift strategy of Vecto and also directly sets the engine speed. - - -Header: **\<t>, \<v>, \<gear>***\[, \<tc\_active>, \<grad>]\[, \<Padd>]\[, \<vair\_res>, \<vair\_beta>]\[, \<Aux\_ID>\]* - -**Bold columns** are mandatory. *Italic columns* are optional. Only the listed columns are allowed (no other columns!).<br /> -Units are optional and are enclosed in [square-brackets] after the header-column. Comments may be written with a preceding hash-sign "#". - -| Identifier | Unit | Description | -| ----------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -| **t** | [s] | The absolute time. Must always be increasing. | -| **v** | [km/h] | The actual velocity of the vehicle. Must be >= 0 km/h. | -| **gear** | [-] | The current gear. Must be >= 0 (0 is neutral). | -| **tc_active**| [-] | For AT gearboxes mandatory! Indicate if the torque converter is active or locked. Depending on the gearbox type only allowed for 1st gear or 1st and 2nd gear. | -| *Padd* | [kW] | Additional auxiliary power demand. This power demand will be directly added to the engine power in addition to possible other auxiliaries. Must be >= 0 kW. | -| *grad* | [%] | The road gradient. | -| *vair_res* | [km/h] | Air speed relative to vehicle for cross wind correction. Only required if [**Cross Wind Correction**](#cross-wind-correction) is set to **Vair & Beta Input**. | -| *vair_beta* | [°] | Wind Yaw Angle for cross wind correction. Only required if [**Cross Wind Correction**](#cross-wind-correction) is set to **Vair & Beta Input**. | -| *Aux_ID* | [kW] | Auxiliary Supply Power. Can be defined multiple times with different Identifiers. The supply power input for each auxiliary defined in the [.vecto file](#job-editor) with the corresponding ID. ID's are not case sensitive and must only contain letters and numbers [a-z,A-Z,0-9]. Must be >= 0 kW. | - -**Example:** - -| \<t> [s] | \<v> [km/h] | \<gear> [-] | \<grad> [%] | \<Padd> [kW] | -| -------- | ----------- | ----------- | ----------- | ------------ | -| 0 | 0 | 0 | 2.95 | 1.5 | -| 1 | 0.6 | 3 | 2.97 | 1.3 | -| 2 | 1.2 | 3 | 3.03 | 1.3 | -| 3 | 2.4 | 3 | 2.99 | 1.3 | - -###Engineering Mode: Pwheel (SiCo), Time-Based -This driving cycle defines the power measured at the wheels over time. Vecto tries to simulate the vehicle with this power requirement. - -Header: **\<t>, \<Pwheel>, \<gear>, \<n>***\[, \<Padd>]* - -**Bold columns** are mandatory. *Italic columns* are optional. Only the listed columns are allowed (no other columns!).<br /> -Units are optional and are enclosed in [square-brackets] after the header-column. Comments may be written with a preceding hash-sign "#". - -| Identifier | Unit | Quantity Description | -| ---------- | ----- | ----------------------------------------------------------------------------------------------------------------- | -| **t** | [s] | The absolute time. Must always be increasing. | -| **Pwheel** | [kW] | Power at the wheels. | -| **gear** | [-] | The current gear. Must be >= 0 (0 is neutral). | -| **n** | [rpm] | The actual engine speed. Must be >= 0 rpm. | -| *Padd* | [kW] | Additional auxiliary power demand. This power demand will be directly added to the engine power. Must be >= 0 kW. | - -**Example:** - -| \<t> [s] | \<Pwheel> [kW] | \<gear> [-] | \<n> [rpm] | \<Padd> [kW] | -| -------- | -------------- | ----------- | ---------- | ------------ | -| 0 | 0 | 0 | 600 | 1.5 | -| 1 | 4.003 | 3 | 950 | 1.3 | -| 2 | 15.333 | 3 | 1200 | 1.3 | -| 3 | 50.56 | 3 | 1400 | 1.3 | - - -###Engine Only Mode: Engine Only Driving Cycle - -This driving cycle directly defines the engine's power or torque at the output shaft over time. Vecto adds the engine's inertia to the given power demand and simulates the engine. - -Header: **\<t>, \<n>, (\<Pe>|\<Me>)***\[, \<Padd>]* - -**Bold columns** are mandatory. *Italic columns* are optional. Only the listed columns are allowed (no other columns!).<br /> -Units are optional and are enclosed in [square-brackets] after the header-column. Comments may be written with a preceding hash-sign "#". - -| Identifier | Unit | Description | -| ---------- | ----- | ----------------------------------------------------------------------------------------------------------------- | -| **t** | [s] | The absolute time. Must always be increasing. | -| **n** | [rpm] | The actual engine speed. Must be >= 0 rpm. | -| **Pe** | [kW] | The power at the output shaft of the engine. Either \<Pe> or \<Me> must be defined. | -| **Me** | [Nm] | The torque at the output shaft of the engine. Either \<Pe> or \<Me> must be defined. | -| *Padd* | [kW] | Additional auxiliary power demand. This power demand will be directly added to the engine power. Must be >= 0 kW. | - -**Example:** - -| \<t> [s] | \<n> [rpm] | \<Pe> [kW] | \<Padd> [kW] | -| -------- | ---------- | ---------- | ------------ | -| 0 | 600 | 0 | 1.5 | -| 1 | 950 | 25.3 | 1.3 | -| 2 | 1200 | 65.344 | 1.3 | -| 3 | 1400 | 110.1 | 1.3 | - - +##Driving Cycles + +A Driving Cycle defines the parameters of a simulated route in Vecto. It is either time-based or distance-based and has different fields depending on the driving cycle type. +The basic file format is [Vecto-CSV](#csv) and the file type ending is ".vdri". A Job must have at least one driving cycle (except in Declaration mode, where the driving cycles are predefined). + +###Driving Cycle Types +- **Declaration Mode**: [Target speed, distance-based](#declaration-mode-cycles) +- **Engineering Mode**: + - [Target speed, distance-based](#engineering-mode-target-speed-distance-based-cycle) + - [Measured speed, time-based](#engineering-mode-measured-speed-time-based-cycle) + - [Measured speed with gear, time-based](#engineering-mode-measured-speed-with-gear-time-based-cycle) + - [Pwheel (SiCo) Mode, time-based](#engineering-mode-pwheel-sico-time-based) +- **Engine Only Mode**: [Engine Only Mode, time-based](#engine-only-mode-engine-only-driving-cycle) + + +- Distance-based cycles can be defined in any distance resolution, including variable distance steps. +- Time-based cycles can be defined in any time resolution, including variable time steps. + +###Declaration Mode Cycles +In Declaration Mode driving cycles are automatically chosen depending on vehicle category and cannot be changed by the user. These predefined cycles are of type target-speed, distance-based. + +- Coach: 275km +- Construction: 21km +- Heavy Urban: 30km +- Inter Urban: 123km +- Long Haul: 100km +- Municipal Utility: 10km +- Regional Delivery: 26km +- Sub Urban: 23km +- Urban: 40km +- Urban Delivery: 28km + +###Engineering Mode: Target-Speed, Distance-Based Cycle +This driving cycle defines the target speed over distance. Vecto tries to achieve and maintain this target speed. + +Header: **\<s>, \<v>, \<stop>***\[, \<Padd>]\[, \<grad>]\[, \<PTO>]\[, \<vair\_res>, \<vair\_beta>]\[, \<Aux\_ID>]* + +**Bold columns** are mandatory. *Italic columns* are optional. Only the listed columns are allowed (no other columns!).<br /> +Units are optional and are enclosed in [square-brackets] after the header-column. Comments may be written with a preceding hash-sign "#". + +| Identifier | Unit | Description | +|-------------|--------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| **s** | [m] | Traveled distance. Must always be increasing. | +| **v** | [km/h] | The target vehicle velocity. Must be >= 0 km/h. | +| **stop** | [s] | Stopping Time. Defines the time span the vehicle is standing still (time the vehicle spending in a stop phase). After this time, the vehicle tries to accelerate to \<v>. If during a stop phase the PTO cycle is activated, it is recommended to use at least 2 seconds of stop time (which gets split up: first half before the PTO cycle, second half after the PTO cycle). | +| *Padd* | [kW] | Additional auxiliary power demand. This power demand will be directly added to the engine power in addition to possible other auxiliaries. Must be >= 0 kW. | +| *grad* | [%] | The road gradient. | +| *PTO* | [0/1] | "0"=disabled or "1"=enabled. If at a vehicle stop (defined by target velocity=0) "1" is specified, the PTO cycle as specified in the *.vptoc–File is simulated. This is described in the [PTO Simulation Model](#pto) The PTO activation is added to the simulation time in the middle of the stopping time as defined by the cycle parameter "stop". The PTO Cycle can be specified in the [**Vehicle Editor**](#vehicle-editor). When PTO is activated it is recommended to use at least 2 seconds as stop time. | +| *vair_res* | [km/h] | Air speed relative to vehicle for cross wind correction. Only required if [**Cross Wind Correction**](#cross-wind-correction) is set to **Vair & Beta Input**. | +| *vair_beta* | [°] | Wind Yaw Angle for cross wind correction. Only required if [**Cross Wind Correction**](#cross-wind-correction) is set to **Vair & Beta Input**. | +| *Aux_ID* | [kW] | Auxiliary Supply Power. Can be defined multiple times with different Identifiers. The supply power input for each auxiliary defined in the [.vecto file](#job-file) with the corresponding ID. ID's are not case sensitive and must only contain letters and numbers [a-z,A-Z,0-9]. Must be >= 0 kW. | + + +**Example:** + +| \<s> [m] | \<v> [km/h] | \<stop> [s] | \<grad> [%] | \<Padd> [kW] | +| -------- | ----------- | ----------- | ----------- | ------------ | +| 0 | 10 | 10 | 2.95 | 1.5 | +| 1 | 20 | 0 | 2.97 | 1.3 | +| 2 | 35 | 0 | 3.03 | 1.3 | +| 3 | 50 | 0 | 2.99 | 1.3 | + +###Engineering Mode: Measured-Speed, Time-Based Cycle +This driving cycle defines the actual measured speed over time. Vecto tries to simulate the vehicle model using this speed as the actual vehicle speed. +Due to differences in the real and simulated shift strategies a small difference in speed can occur, but Vecto immediately tries to catch up after the gear is engaged again. + +Header: **\<t>, \<v>***\[, \<grad>]\[, \<Padd>]\[, \<vair\_res>, \<vair\_beta>\]\[, \<Aux\_ID>]* + +**Bold columns** are mandatory. *Italic columns* are optional. Only the listed columns are allowed (no other columns!).<br /> +Units are optional and are enclosed in [square-brackets] after the header-column. Comments may be written with a preceding hash-sign "#". + +| Identifier | Unit | Description | +| ----------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | +| **t** | [s] | The absolute time. Must always be increasing. | +| **v** | [km/h] | The actual velocity of the vehicle. Must be >= 0 km/h. | +| *Padd* | [kW] | Additional auxiliary power demand. This power demand will be directly added to the engine power in addition to possible other auxiliaries. Must be >= 0 kW. | +| *grad* | [%] | The road gradient. | +| *vair_res* | [km/h] | Air speed relative to vehicle for cross wind correction. Only required if [**Cross Wind Correction**](#cross-wind-correction) is set to **Vair & Beta Input**. | +| *vair_beta* | [°] | Wind Yaw Angle for cross wind correction. Only required if [**Cross Wind Correction**](#cross-wind-correction) is set to **Vair & Beta Input**. | +| *Aux_ID* | [kW] | Auxiliary Supply Power. Can be defined multiple times with different Identifiers. The supply power input for each auxiliary defined in the [.vecto file](#job-editor) with the corresponding ID. ID's are not case sensitive and must only contain letters and numbers [a-z,A-Z,0-9]. Must be >= 0 kW. | + +**Example:** + +| \<t> [s] | \<v> [km/h] | \<grad> [%] | \<Padd> [kW] | +| -------- | ----------- | ----------- | ------------ | +| 0 | 0 | 2.95 | 1.5 | +| 1 | 0.6 | 2.97 | 1.3 | +| 2 | 1.2 | 3.03 | 1.3 | +| 3 | 2.4 | 2.99 | 1.3 | + + +###Engineering Mode: Measured-Speed With Gear, Time-Based Cycle + +This driving cycle defines the actual measured speed of the vehicle, the gear, and the engine speed over time. +It overrides the shift strategy of Vecto and also directly sets the engine speed. + + +Header: **\<t>, \<v>, \<gear>***\[, \<tc\_active>, \<grad>]\[, \<Padd>]\[, \<vair\_res>, \<vair\_beta>]\[, \<Aux\_ID>\]* + +**Bold columns** are mandatory. *Italic columns* are optional. Only the listed columns are allowed (no other columns!).<br /> +Units are optional and are enclosed in [square-brackets] after the header-column. Comments may be written with a preceding hash-sign "#". + +| Identifier | Unit | Description | +| ----------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | +| **t** | [s] | The absolute time. Must always be increasing. | +| **v** | [km/h] | The actual velocity of the vehicle. Must be >= 0 km/h. | +| **gear** | [-] | The current gear. Must be >= 0 (0 is neutral). | +| **tc_active**| [-] | For AT gearboxes mandatory! Indicate if the torque converter is active or locked. Depending on the gearbox type only allowed for 1st gear or 1st and 2nd gear. | +| *Padd* | [kW] | Additional auxiliary power demand. This power demand will be directly added to the engine power in addition to possible other auxiliaries. Must be >= 0 kW. | +| *grad* | [%] | The road gradient. | +| *vair_res* | [km/h] | Air speed relative to vehicle for cross wind correction. Only required if [**Cross Wind Correction**](#cross-wind-correction) is set to **Vair & Beta Input**. | +| *vair_beta* | [°] | Wind Yaw Angle for cross wind correction. Only required if [**Cross Wind Correction**](#cross-wind-correction) is set to **Vair & Beta Input**. | +| *Aux_ID* | [kW] | Auxiliary Supply Power. Can be defined multiple times with different Identifiers. The supply power input for each auxiliary defined in the [.vecto file](#job-editor) with the corresponding ID. ID's are not case sensitive and must only contain letters and numbers [a-z,A-Z,0-9]. Must be >= 0 kW. | + +**Example:** + +| \<t> [s] | \<v> [km/h] | \<gear> [-] | \<grad> [%] | \<Padd> [kW] | +| -------- | ----------- | ----------- | ----------- | ------------ | +| 0 | 0 | 0 | 2.95 | 1.5 | +| 1 | 0.6 | 3 | 2.97 | 1.3 | +| 2 | 1.2 | 3 | 3.03 | 1.3 | +| 3 | 2.4 | 3 | 2.99 | 1.3 | + +###Engineering Mode: Pwheel (SiCo), Time-Based +This driving cycle defines the power measured at the wheels over time. Vecto tries to simulate the vehicle with this power requirement. + +Header: **\<t>, \<Pwheel>, \<gear>, \<n>***\[, \<Padd>]* + +**Bold columns** are mandatory. *Italic columns* are optional. Only the listed columns are allowed (no other columns!).<br /> +Units are optional and are enclosed in [square-brackets] after the header-column. Comments may be written with a preceding hash-sign "#". + +| Identifier | Unit | Quantity Description | +| ---------- | ----- | ----------------------------------------------------------------------------------------------------------------- | +| **t** | [s] | The absolute time. Must always be increasing. | +| **Pwheel** | [kW] | Power at the wheels. | +| **gear** | [-] | The current gear. Must be >= 0 (0 is neutral). | +| **n** | [rpm] | The actual engine speed. Must be >= 0 rpm. | +| *Padd* | [kW] | Additional auxiliary power demand. This power demand will be directly added to the engine power. Must be >= 0 kW. | + +**Example:** + +| \<t> [s] | \<Pwheel> [kW] | \<gear> [-] | \<n> [rpm] | \<Padd> [kW] | +| -------- | -------------- | ----------- | ---------- | ------------ | +| 0 | 0 | 0 | 600 | 1.5 | +| 1 | 4.003 | 3 | 950 | 1.3 | +| 2 | 15.333 | 3 | 1200 | 1.3 | +| 3 | 50.56 | 3 | 1400 | 1.3 | + + +###Engine Only Mode: Engine Only Driving Cycle + +This driving cycle directly defines the engine's power or torque at the output shaft over time. Vecto adds the engine's inertia to the given power demand and simulates the engine. + +Header: **\<t>, \<n>, (\<Pe>|\<Me>)***\[, \<Padd>]* + +**Bold columns** are mandatory. *Italic columns* are optional. Only the listed columns are allowed (no other columns!).<br /> +Units are optional and are enclosed in [square-brackets] after the header-column. Comments may be written with a preceding hash-sign "#". + +| Identifier | Unit | Description | +| ---------- | ----- | ----------------------------------------------------------------------------------------------------------------- | +| **t** | [s] | The absolute time. Must always be increasing. | +| **n** | [rpm] | The actual engine speed. Must be >= 0 rpm. | +| **Pe** | [kW] | The power at the output shaft of the engine. Either \<Pe> or \<Me> must be defined. | +| **Me** | [Nm] | The torque at the output shaft of the engine. Either \<Pe> or \<Me> must be defined. | +| *Padd* | [kW] | Additional auxiliary power demand. This power demand will be directly added to the engine power. Must be >= 0 kW. | + +**Example:** + +| \<t> [s] | \<n> [rpm] | \<Pe> [kW] | \<Padd> [kW] | +| -------- | ---------- | ---------- | ------------ | +| 0 | 600 | 0 | 1.5 | +| 1 | 950 | 25.3 | 1.3 | +| 2 | 1200 | 65.344 | 1.3 | +| 3 | 1400 | 110.1 | 1.3 | + + diff --git a/Documentation/User Manual/5-input-and-output-files/VPTOC.md b/Documentation/User Manual/5-input-and-output-files/VPTOC.md index 36da928a35ea883aa5f4a5ddf2924080551324a2..e089faa0d6d6a35f28f280ff5b6e651572484c5b 100644 --- a/Documentation/User Manual/5-input-and-output-files/VPTOC.md +++ b/Documentation/User Manual/5-input-and-output-files/VPTOC.md @@ -1,6 +1,6 @@ ##PTO Cycle (.vptoc) -The PTO cycle defines the power demands during standing still and doing a pto operation. This can only be used in [Engineering Mode](#engineering-mode) when a pto transmission is defined. It can be set in the [Vehicle-Editor](#vehicle-editor). The basic file format is [Vecto-CSV](#csv) and the file type ending is ".vptoc". A PTO cycle is time-based and may have variable time steps. Regardless of starting time, VECTO shifts it to always begin at 0[s]. +The PTO cycle defines the power demands during standing still and doing a pto operation. This can only be used in [Engineering Mode](#engineering-mode) when a pto transmission is defined. It can be set in the [Vehicle-Editor](#vehicle-editor). The basic file format is [Vecto-CSV](#csv) and the file type ending is ".vptoc". A PTO cycle is time-based and may have variable time steps, but it is recommended to use a resolution between 1[Hz] and 2[Hz]. Regardless of starting time, VECTO shifts it to always begin at 0[s]. Header: **\<t>, \<Engine speed>, \<PTO Torque>** diff --git a/Documentation/User Manual/help.html b/Documentation/User Manual/help.html index 7e7708714a497d52edb982187aead8339233b5db..d2db264fa8341dc79d33432e4ca2d6a2d0df142e 100644 --- a/Documentation/User Manual/help.html +++ b/Documentation/User Manual/help.html @@ -2859,7 +2859,7 @@ Example: “Gears\Gear1.vtlm†points to the “Gears†subdirectory of the Ge <div id="rolling-resistance-coefficient" class="section level2"> <h2>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 weight 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,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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>with:</p> <table> <colgroup> @@ -3439,17 +3439,17 @@ Example: “Gears\Gear1.vtlm†points to the “Gears†subdirectory of the Ge </div> <div id="idling-losses-of-the-pto-consumer-red" class="section level4"> <h4>Idling losses of the PTO “Consumer†(red)</h4> -<p>The idling losses are a function of speed as determined by the DIN 30752-1 procedure. If the PTO transmission includes a shifting element (i.e. declutching of consumer part possible) the torque losses of the consumer in VECTO input shall be defined with zero. This is only used outside of PTO cycles, since the PTO cycles already include these losses. The idling losses are defined as a lossmap dependend on speed which is configurable in the <a href="#vehicle-editor">Vehicle Editor</a>. The file format is described in <a href="#pto-consumer">PTO-Consumer</a>.</p> +<p>The idling losses are a function of speed as determined by the DIN 30752-1 procedure. If the PTO transmission includes a shifting element (i.e. declutching of consumer part possible) the torque losses of the consumer in VECTO input shall be defined with zero. This is only used outside of PTO cycles, since the PTO cycles already include these losses. The idling losses are defined as a lossmap dependend on speed which is configurable in the <a href="#vehicle-editor">Vehicle Editor</a>. The file format is described in <a href="#pto-idle-consumption-map-.vptoi">PTO Idle Consumption Map</a>.</p> </div> <div id="cycle-losses-during-the-pto-cycle-of-the-pto-consumer-red" class="section level4"> <h4>Cycle losses during the PTO cycle of the PTO “Consumer†(red)</h4> <p>A specific PTO cycle (time-based, engine speed and torque from PTO consumer as determined by the DIN 30752-1 procedure) is simulated during vehicle stops labelled as “with PTO activationâ€. The execution of the driving cycle stops during this time and the pto cycle is executed. Afterwards the normal driving cycle continues.</p> -<p>Power consumption in the PTO transmission part added to power demand from the PTO cycle. The cycle is configurable in the <a href="#vehicle-editor">Vehicle Editor</a> and follows the file format described in <a href="#pto-cycle">PTO-Cycle</a>. The timings in the PTO cycle get shifted to start at 0.</p> +<p>Power consumption in the PTO transmission part added to power demand from the PTO cycle. The cycle is configurable in the <a href="#vehicle-editor">Vehicle Editor</a> and follows the file format described in <a href="#pto-cycle-.vptoc">PTO-Cycle</a>. The timings in the PTO cycle get shifted to start at 0.</p> </div> </div> <div id="behavior-during-pto-driving-cycles" class="section level3"> <h3>Behavior During PTO Driving Cycles</h3> -<p>A PTO cycle can only be activated during a stop phase in the driving cycle. When the PTO cycle is activated VECTO exhibits the following behavior: Half of the stop time is added before the pto cycle, and the other half is added afterwards. If the halved stop times are still longer than 3 seconds, they get divided even further to 3 intervals in order to achieve a more appealing visualization in the output (falling down, low baseline, rising again).</p> +<p>A PTO cycle can only be activated during a stop phase in the driving cycle. When the PTO cycle is activated VECTO exhibits the following behavior: Half of the stop time is added before the pto cycle, and the other half is added afterwards. If the halved stop times are still longer than 3 seconds, they get divided even further to 3 intervals in order to achieve a more appealing visualization in the output (falling down, low baseline, rising again). It is recommended to have a stop time of at least 2 seconds.</p> <p>The following image shows the behavior of running PTO cycles during a normal driving cycle:</p> <div class="figure"> <img src="data:image/png;base64,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" /> @@ -4062,7 +4062,7 @@ Example: “Gears\Gear1.vtlm†points to the “Gears†subdirectory of the Ge </div> <div id="pto-cycle-.vptoc" class="section level2"> <h2>PTO Cycle (.vptoc)</h2> -<p>The PTO cycle defines the power demands during standing still and doing a pto operation. This can only be used in <a href="#engineering-mode">Engineering Mode</a> when a pto transmission is defined. It can be set in the <a href="#vehicle-editor">Vehicle-Editor</a>. The basic file format is <a href="#csv">Vecto-CSV</a> and the file type ending is “.vptocâ€. A PTO cycle is time-based and may have variable time steps. Regardless of starting time, VECTO shifts it to always begin at 0[s].</p> +<p>The PTO cycle defines the power demands during standing still and doing a pto operation. This can only be used in <a href="#engineering-mode">Engineering Mode</a> when a pto transmission is defined. It can be set in the <a href="#vehicle-editor">Vehicle-Editor</a>. The basic file format is <a href="#csv">Vecto-CSV</a> and the file type ending is “.vptocâ€. A PTO cycle is time-based and may have variable time steps, but it is recommended to use a resolution between 1[Hz] and 2[Hz]. Regardless of starting time, VECTO shifts it to always begin at 0[s].</p> <p>Header: <strong><t>, <Engine speed>, <PTO Torque></strong></p> <p><strong>Bold columns</strong> are mandatory. Only the listed columns are allowed (no other columns!).<br /> The order is not important when the headers are annotated with <angle-brackets> (less-than-sign “<†and greater-than-sign “>â€).<br /> Units are optional and are enclosed in [square-brackets] after the header-column. Comments may be written with a preceding hash-sign “#â€.</p> <table style="width:100%;"> @@ -4820,7 +4820,7 @@ CycleTime,UnknownCycleName,3600</code></pre> <tr class="odd"> <td align="left"><strong>stop</strong></td> <td align="left">[s]</td> -<td align="left">Stopping Time. Defines the time span the vehicle is standing still (time the vehicle spending in a stop phase). After this time, the vehicle tries to accelerate to <v>.</td> +<td align="left">Stopping Time. Defines the time span the vehicle is standing still (time the vehicle spending in a stop phase). After this time, the vehicle tries to accelerate to <v>. If during a stop phase the PTO cycle is activated, it is recommended to use at least 2 seconds of stop time (which gets split up: first half before the PTO cycle, second half after the PTO cycle).</td> </tr> <tr class="even"> <td align="left"><em>Padd</em></td> @@ -4835,7 +4835,7 @@ CycleTime,UnknownCycleName,3600</code></pre> <tr class="even"> <td align="left"><em>PTO</em></td> <td align="left">[0/1]</td> -<td align="left">“0â€=disabled or “1â€=enabled. If at a vehicle stop (defined by target velocity=0) “1†is specified, the PTO cycle as specified in the <em>.vptoc–File is simulated. The PTO activation is added to the simulation time in the middle of the stopping time as defined by the cycle parameter “stopâ€. The PTO Cycle can be specified in the <a href="#vehicle-editor"><strong>Vehicle Editor</strong></a>. | | </em>vair_res*</td> +<td align="left">“0â€=disabled or “1â€=enabled. If at a vehicle stop (defined by target velocity=0) “1†is specified, the PTO cycle as specified in the <em>.vptoc–File is simulated. This is described in the <a href="#pto">PTO Simulation Model</a> The PTO activation is added to the simulation time in the middle of the stopping time as defined by the cycle parameter “stopâ€. The PTO Cycle can be specified in the <a href="#vehicle-editor"><strong>Vehicle Editor</strong></a>. When PTO is activated it is recommended to use at least 2 seconds as stop time. | | </em>vair_res*</td> </tr> <tr class="odd"> <td align="left"><em>vair_beta</em></td> @@ -5301,7 +5301,7 @@ 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%;">