Assessment of Minimum Fuel Consumption Operation Strategy for Hybrid Powersport Drivetrains by means of Dynamic Programming Method

Bernhard Schweighofer, Hannes Wegleiter, Michael Zisser, Paul Rieger, Christian Zinner, Stephan Schmidt

Publikation: KonferenzbeitragPaperForschungBegutachtung

Abstract

The hybrid-electric drivetrain permits a multitude of new control strategies like brake energy recuperation, engine startstop operation, shifting of engine working point, as well as in some situations pure electric driving. Overall this typically allows a reduction of fuel consumption and therefore of carbon dioxide emissions. During the development process of the vehicle various drivetrain configurations have to be considered and compared. This includes decisions regarding the topology - like the position of the electrical machine in the drivetrain (e.g. at the gearbox input or output shaft), as well as the selection of the needed components based on their parameters (nominal power, energy content of the battery, efficiency etc.). To compare the chosen variants, typically the calculated fuel consumption for a given driving cycle is used. For this simulation an energy management strategy is needed, which defines the power distribution between ICE, electric machine and mechanical brakes. However, the used operation strategy has a large influence on the achieved fuel consumption. Typically used online strategies (rule based approaches, neural networks, . . . ) have to be adapted for each configuration individually. Nevertheless, it cannot be guaranteed, that the individually optimized controllers work equally well for each configuration. To circumvent this problem, we use a mathematical method (so called dynamic programming) to calculate an optimal energy management for each considered configuration. This optimum represents a set of operation modes and operation points, which lead to the absolute minimum fuel consumption. Thereby a comparison of different configurations without influence of the control strategy becomes possible.
Originalspracheenglisch
PublikationsstatusVeröffentlicht - 2016
VeranstaltungSAE/JSAE Small Engine Technology Conference - Embassy Suites Charleston Convention Center, Charleston, USA / Vereinigte Staaten
Dauer: 15 Dez 201517 Dez 2016

Konferenz

KonferenzSAE/JSAE Small Engine Technology Conference
KurztitelSETC
LandUSA / Vereinigte Staaten
OrtCharleston
Zeitraum15/12/1517/12/16

Fingerprint

Dynamic programming
Fuel consumption
Energy management
Brakes
Engines
Electric machinery
Carbon dioxide
Topology
Neural networks
Controllers

Dies zitieren

Schweighofer, B., Wegleiter, H., Zisser, M., Rieger, P., Zinner, C., & Schmidt, S. (2016). Assessment of Minimum Fuel Consumption Operation Strategy for Hybrid Powersport Drivetrains by means of Dynamic Programming Method. Beitrag in SAE/JSAE Small Engine Technology Conference, Charleston, USA / Vereinigte Staaten.

Assessment of Minimum Fuel Consumption Operation Strategy for Hybrid Powersport Drivetrains by means of Dynamic Programming Method. / Schweighofer, Bernhard; Wegleiter, Hannes; Zisser, Michael; Rieger, Paul; Zinner, Christian; Schmidt, Stephan.

2016. Beitrag in SAE/JSAE Small Engine Technology Conference, Charleston, USA / Vereinigte Staaten.

Publikation: KonferenzbeitragPaperForschungBegutachtung

Schweighofer, B, Wegleiter, H, Zisser, M, Rieger, P, Zinner, C & Schmidt, S 2016, 'Assessment of Minimum Fuel Consumption Operation Strategy for Hybrid Powersport Drivetrains by means of Dynamic Programming Method' Beitrag in SAE/JSAE Small Engine Technology Conference, Charleston, USA / Vereinigte Staaten, 15/12/15 - 17/12/16, .
Schweighofer B, Wegleiter H, Zisser M, Rieger P, Zinner C, Schmidt S. Assessment of Minimum Fuel Consumption Operation Strategy for Hybrid Powersport Drivetrains by means of Dynamic Programming Method. 2016. Beitrag in SAE/JSAE Small Engine Technology Conference, Charleston, USA / Vereinigte Staaten.
Schweighofer, Bernhard ; Wegleiter, Hannes ; Zisser, Michael ; Rieger, Paul ; Zinner, Christian ; Schmidt, Stephan. / Assessment of Minimum Fuel Consumption Operation Strategy for Hybrid Powersport Drivetrains by means of Dynamic Programming Method. Beitrag in SAE/JSAE Small Engine Technology Conference, Charleston, USA / Vereinigte Staaten.
@conference{88edbfd66686467ab2c3cc2a30425651,
title = "Assessment of Minimum Fuel Consumption Operation Strategy for Hybrid Powersport Drivetrains by means of Dynamic Programming Method",
abstract = "The hybrid-electric drivetrain permits a multitude of new control strategies like brake energy recuperation, engine startstop operation, shifting of engine working point, as well as in some situations pure electric driving. Overall this typically allows a reduction of fuel consumption and therefore of carbon dioxide emissions. During the development process of the vehicle various drivetrain configurations have to be considered and compared. This includes decisions regarding the topology - like the position of the electrical machine in the drivetrain (e.g. at the gearbox input or output shaft), as well as the selection of the needed components based on their parameters (nominal power, energy content of the battery, efficiency etc.). To compare the chosen variants, typically the calculated fuel consumption for a given driving cycle is used. For this simulation an energy management strategy is needed, which defines the power distribution between ICE, electric machine and mechanical brakes. However, the used operation strategy has a large influence on the achieved fuel consumption. Typically used online strategies (rule based approaches, neural networks, . . . ) have to be adapted for each configuration individually. Nevertheless, it cannot be guaranteed, that the individually optimized controllers work equally well for each configuration. To circumvent this problem, we use a mathematical method (so called dynamic programming) to calculate an optimal energy management for each considered configuration. This optimum represents a set of operation modes and operation points, which lead to the absolute minimum fuel consumption. Thereby a comparison of different configurations without influence of the control strategy becomes possible.",
author = "Bernhard Schweighofer and Hannes Wegleiter and Michael Zisser and Paul Rieger and Christian Zinner and Stephan Schmidt",
year = "2016",
language = "English",
note = "SAE/JSAE Small Engine Technology Conference, SETC ; Conference date: 15-12-2015 Through 17-12-2016",

}

TY - CONF

T1 - Assessment of Minimum Fuel Consumption Operation Strategy for Hybrid Powersport Drivetrains by means of Dynamic Programming Method

AU - Schweighofer, Bernhard

AU - Wegleiter, Hannes

AU - Zisser, Michael

AU - Rieger, Paul

AU - Zinner, Christian

AU - Schmidt, Stephan

PY - 2016

Y1 - 2016

N2 - The hybrid-electric drivetrain permits a multitude of new control strategies like brake energy recuperation, engine startstop operation, shifting of engine working point, as well as in some situations pure electric driving. Overall this typically allows a reduction of fuel consumption and therefore of carbon dioxide emissions. During the development process of the vehicle various drivetrain configurations have to be considered and compared. This includes decisions regarding the topology - like the position of the electrical machine in the drivetrain (e.g. at the gearbox input or output shaft), as well as the selection of the needed components based on their parameters (nominal power, energy content of the battery, efficiency etc.). To compare the chosen variants, typically the calculated fuel consumption for a given driving cycle is used. For this simulation an energy management strategy is needed, which defines the power distribution between ICE, electric machine and mechanical brakes. However, the used operation strategy has a large influence on the achieved fuel consumption. Typically used online strategies (rule based approaches, neural networks, . . . ) have to be adapted for each configuration individually. Nevertheless, it cannot be guaranteed, that the individually optimized controllers work equally well for each configuration. To circumvent this problem, we use a mathematical method (so called dynamic programming) to calculate an optimal energy management for each considered configuration. This optimum represents a set of operation modes and operation points, which lead to the absolute minimum fuel consumption. Thereby a comparison of different configurations without influence of the control strategy becomes possible.

AB - The hybrid-electric drivetrain permits a multitude of new control strategies like brake energy recuperation, engine startstop operation, shifting of engine working point, as well as in some situations pure electric driving. Overall this typically allows a reduction of fuel consumption and therefore of carbon dioxide emissions. During the development process of the vehicle various drivetrain configurations have to be considered and compared. This includes decisions regarding the topology - like the position of the electrical machine in the drivetrain (e.g. at the gearbox input or output shaft), as well as the selection of the needed components based on their parameters (nominal power, energy content of the battery, efficiency etc.). To compare the chosen variants, typically the calculated fuel consumption for a given driving cycle is used. For this simulation an energy management strategy is needed, which defines the power distribution between ICE, electric machine and mechanical brakes. However, the used operation strategy has a large influence on the achieved fuel consumption. Typically used online strategies (rule based approaches, neural networks, . . . ) have to be adapted for each configuration individually. Nevertheless, it cannot be guaranteed, that the individually optimized controllers work equally well for each configuration. To circumvent this problem, we use a mathematical method (so called dynamic programming) to calculate an optimal energy management for each considered configuration. This optimum represents a set of operation modes and operation points, which lead to the absolute minimum fuel consumption. Thereby a comparison of different configurations without influence of the control strategy becomes possible.

M3 - Paper

ER -