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Model development and energy management control for hybrid electric race vehicles
- Source :
- 2016 UKACC 11th International Conference on Control (CONTROL).
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
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.
- Subjects :
- Engineering
business.product_category
business.industry
Energy management
Drivetrain
020302 automobile design & engineering
02 engineering and technology
Electronic differential
01 natural sciences
Automotive engineering
law.invention
Vehicle dynamics
0203 mechanical engineering
law
Control theory
0103 physical sciences
Electric vehicle
Tractive effort
business
010301 acoustics
Driving cycle
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 UKACC 11th International Conference on Control (CONTROL)
- Accession number :
- edsair.doi...........781713a9272d5bcd79c5ea42f8dea797
- Full Text :
- https://doi.org/10.1109/control.2016.7737651