Parameters optimization for extended-range electric vehicle based on improved chaotic particle swarm optimization

作者：Jiang, Yongchen; Lin, Cheng; Cao, Wanke^*

来源：International Journal of Grid and Distributed Computing, 2016, 9(9): 1-10.

DOI：10.14257/ijgdc.2016.9.9.01

• Chaotic particle swarm optimizations
• Control strategies
• Energy management strategies
• Extended-range electric vehicles
• Full vehicle model
• Parameters optimization
• Particle swarm algorithm
• Simulation

Extended-range electric vehicle is considered to be the ideal transition type for electric vehicle. The optimal operation curve control strategy was proposed for a 12 meter-long range extended electric bus. With exponential function inertia weight adjustment and local chaos substitution, an improved chaotic particle swarm optimization algorithm was applied to optimize the key parameters of energy management strategy. Based on MATLAB/Simulink, full vehicle model and corresponding control strategy were built. The simulation results with typical city driving cycles illustrate that, comparing with standard particle swarm optimization, the new algorithm can greatly improve the convergence speed and optimizing precision, and the optimal parameters can be obtained.

• 出版日期2016
• 单位北京理工大学