Energy Control of HEV Based on Fuzzy Controller Optimized by Particle Swarm Optimization

Abstract:

Energy control of HEV plays a very important role in the process of HEV design, which is directly related to the safety and feasibility. Considering the drive system of HEV is nonlinear and complex, a fuzzy control strategy which is combined with particle swarm optimization algorithm is designed to realize the energy control of HEV. Fuzzy control strategy does not need to built accuracy mathematics model and has good robustness, but it mostly depends on engineering experience and has poor ability of self-learning. So particle swarm optimization algorithm has been added to solve these disadvantages of fuzzy control strategy. In conclusion, this method can not only keep the advantage of fuzzy control strategy, but also has ability of self-learning and self-adapt because of particle swarm optimization added. And the simulation proves that this method is feasible and effective.

• Periodical: Advanced Materials Research (Volume 936)
• Pages: 2155-2159
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.936.2155
• Online since: June 2014
• Authors: Li Yan Zhao*, Niao Na Zhang
• Keywords: Energy Control, Fuzzy Control Strategy, Hybrid Electrical Vehicle (HEV), Particle Swarm Optimization (PSO)

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