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Model development and energy management control for hybrid electric race vehicles

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Model development and energy management control for hybrid electric race vehicles. / Reeves, Kieran; Montazeri, Allahyar; Taylor, Charles James.

2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Reeves, K, Montazeri, A & Taylor, CJ 2016, Model development and energy management control for hybrid electric race vehicles. in 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 11th UKACC International Control Conference, Belfast, United Kingdom, 31/08/16. https://doi.org/10.1109/CONTROL.2016.7737651

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@inproceedings{0044990550e34b03937e1f6ea3c13073,
title = "Model development and energy management control for hybrid electric race vehicles",
abstract = "A Hybrid Electric Vehicle longitudinal dynamics model for the control of energy management is developed. The model is implemented using Simulink and consists of a transitional vehicle speed input parameterized by, for example, the New European Driving Cycle. It is a backward looking model in that engine and motor on/off states are determined by the controller, dependent on wheel torque requirements and output targets. The objective of the simulation is to calculate tractive effort and resistance forces to determine longitudinal net vehicle force at the road. This article addresses model development and initial investigations of its dynamic behaviour in order to establish appropriate energy management strategies for the Hybrid Electric system. In particular, All Wheel Drive, Front Wheel Drive and Rear Wheel Drive drivetrain architectures are evaluated to determine minimum fuel usage and battery state of charge. The use of a logic controller allows a reduction of simulation time and ensures accurate results for charge depletion and harvesting. Simulated fuel consumption is within 1% of actual usage.",
keywords = "Hybrid Electric Vehicles, Longitudinal Dynamics, Simscape, Vehicle Dynamics, Energy Management, Control, Race Vehicle",
author = "Kieran Reeves and Allahyar Montazeri and Taylor, {Charles James}",
year = "2016",
month = aug,
day = "31",
doi = "10.1109/CONTROL.2016.7737651",
language = "English",
isbn = "9781467398923",
booktitle = "2016 UKACC 11th International Conference on Control (CONTROL)",
publisher = "IEEE",
note = "11th UKACC International Control Conference ; Conference date: 31-08-2016 Through 02-09-2016",

}

RIS

TY - GEN

T1 - Model development and energy management control for hybrid electric race vehicles

AU - Reeves, Kieran

AU - Montazeri, Allahyar

AU - Taylor, Charles James

PY - 2016/8/31

Y1 - 2016/8/31

N2 - A Hybrid Electric Vehicle longitudinal dynamics model for the control of energy management is developed. The model is implemented using Simulink and consists of a transitional vehicle speed input parameterized by, for example, the New European Driving Cycle. It is a backward looking model in that engine and motor on/off states are determined by the controller, dependent on wheel torque requirements and output targets. The objective of the simulation is to calculate tractive effort and resistance forces to determine longitudinal net vehicle force at the road. This article addresses model development and initial investigations of its dynamic behaviour in order to establish appropriate energy management strategies for the Hybrid Electric system. In particular, All Wheel Drive, Front Wheel Drive and Rear Wheel Drive drivetrain architectures are evaluated to determine minimum fuel usage and battery state of charge. The use of a logic controller allows a reduction of simulation time and ensures accurate results for charge depletion and harvesting. Simulated fuel consumption is within 1% of actual usage.

AB - A Hybrid Electric Vehicle longitudinal dynamics model for the control of energy management is developed. The model is implemented using Simulink and consists of a transitional vehicle speed input parameterized by, for example, the New European Driving Cycle. It is a backward looking model in that engine and motor on/off states are determined by the controller, dependent on wheel torque requirements and output targets. The objective of the simulation is to calculate tractive effort and resistance forces to determine longitudinal net vehicle force at the road. This article addresses model development and initial investigations of its dynamic behaviour in order to establish appropriate energy management strategies for the Hybrid Electric system. In particular, All Wheel Drive, Front Wheel Drive and Rear Wheel Drive drivetrain architectures are evaluated to determine minimum fuel usage and battery state of charge. The use of a logic controller allows a reduction of simulation time and ensures accurate results for charge depletion and harvesting. Simulated fuel consumption is within 1% of actual usage.

KW - Hybrid Electric Vehicles

KW - Longitudinal Dynamics

KW - Simscape

KW - Vehicle Dynamics

KW - Energy Management

KW - Control

KW - Race Vehicle

U2 - 10.1109/CONTROL.2016.7737651

DO - 10.1109/CONTROL.2016.7737651

M3 - Conference contribution/Paper

SN - 9781467398923

BT - 2016 UKACC 11th International Conference on Control (CONTROL)

PB - IEEE

T2 - 11th UKACC International Control Conference

Y2 - 31 August 2016 through 2 September 2016

ER -