Control Strategy Design and Validation for EV Based on Rapid Prototyping Platform

Chang Qing Du; Yong Shan Liu; Fu Wu Yan; Gang Du

doi:10.4028/www.scientific.net/AMM.511-512.1085

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 511-512Control Strategy Design and Validation for EV...

Control Strategy Design and Validation for EV Based on Rapid Prototyping Platform

Abstract:

To address the control strategy optimization issue of Electric Vehicles (EV), this paper designed distributed control system based on CAN network for EV, constructed a real time EV control model by Simulink and Stateflow. The model was converted to C code After simulating of the model had been conducted on PC, then the C code was downloaded to the rapid prototyping platform ControlBase_VT, and a model based prototyping controller for EV was developed. The prototype controller was mounted to a car, and vehicle control strategy is tested, analyzed and optimized. Using rich hardware resources of rapid prototyping platform and the conversion function from simulink model to executable C code, rapid development and optimization of control strategies is easy to be achieved, simple method is provided for the development, validation and optimization of control strategy, and development period and cost is reduced compared to self-built based hardware development.

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Periodical:

Applied Mechanics and Materials (Volumes 511-512)

Pages:

1085-1094

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.511-512.1085

Citation:

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Online since:

February 2014

Authors:

Chang Qing Du, Yong Shan Liu*, Fu Wu Yan, Gang Du

Keywords:

Control Strategy, Electric Vehicle (EV), Rapid Prototyping Platform, Simulink/Stateflow

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* - Corresponding Author

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