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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

Published
Publication date31/08/2016
Host publication2016 UKACC 11th International Conference on Control (CONTROL)
PublisherIEEE
Number of pages6
ISBN (electronic)9781467398916
ISBN (print)9781467398923
<mark>Original language</mark>English
Event11th UKACC International Control Conference - Belfast, United Kingdom
Duration: 31/08/20162/09/2016

Conference

Conference11th UKACC International Control Conference
Country/TerritoryUnited Kingdom
CityBelfast
Period31/08/162/09/16

Conference

Conference11th UKACC International Control Conference
Country/TerritoryUnited Kingdom
CityBelfast
Period31/08/162/09/16

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.