Real-Time Energy Economy Torque Distribution Strategy for an Electric Vehicle with Multiple Motors
Date Issued
2014
Date
2014
Author(s)
Chen, Jia-Min
Abstract
This research proposes a new structure of power train for electric vehicle (EV), the power train of EV consists of three motors: an 50-kW indirectly-driven front traction motor with gearbox to reduces the motor speed by 6 times and two 28-kW directly-driven in-wheel motors installed inside both rear wheels. This power sources configuration not only provide the vehicle good performance for planar motion control, but also improve driving efficiency of vehicle by torque distribution of three motors. This research proposes a real-time optimization of torque distribution among three motors by particle swarm optimization (PSO). The torque distribution strategy will adjust torque command of motors by PSO that motors can be operated in high efficiency region, which the torque distribution algorithm can improves driving efficiency by minimizing each instantaneous power. In addition, in order to enhance the safety of vehicle driving, this research further develop the strategy by integrating electronic stability program (ESP), which composes by slip ratio controller (SRC) and direct yaw-moment controller (DYC).
Finally, this study not only verifies the performance of the proposed strategy by using software simulation, but also builds the real-time energy economy torque distribution strategy in the digital signal processor (DSP), which certificated by the hardware-in-the-loop (HIL). Experimental results show that the torque distribution strategy can keep the driving safety by ESP and save energy on real-time when EV is driving on straight and curve roads.
Subjects
粒子群最佳化法
節能行車策略
車身穩定系統
電動車
Type
thesis
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