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Study on load performance of electric motor system used in hybrid electric vehicle
Authors:Li Wen  Zhang Chengning  Wang Zhifu  Gao Lei
Institution:[1]National Engineering Laboratory for Electric Vehicle, Beijing Institute of Technology, Beijing 100081, P.R. China [2]New Energy Vehicle Division SAIC Motor Corporation Limited, Shanghai 201804, P.R. China
Abstract:The performance of the power assist, global optimization solved by dynamic programming (DP) method, Chery and Insight control strategies are analyzed using the mild parallel hybrid electric vehicle (PHEV) model based on Insight structure. The influence of the four control strategies to the load power of the electric motor system used on parallel hybrid electric vehicle is studied. It is found that 80 percent of the motor load power points are under 1/5 of the electric peak power. The motor load power of the power assist control strategy is distributed in the widest range during generating operation, and the motor load power of the global optimization control strategy has the smallest one.
Keywords:parallel hybrid electric vehicle (PHEV)  management strategy  motor load power
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