Abstract
To improve braking performance and regenerative energy of front drive electric vehicles (EVs) driven by switched reluctance motor (SRM), a regenerative braking control strategy based on multi-objective optimization of switched reluctance generator (SRG) drive system is proposed in this paper. Firstly, a partition braking force distribution strategy is developed by jointly considering braking energy and safety, and SRG drive system model is established based on low and high-speed condition. The vehicle braking system model including mechanic and regenerative braking system is built. Then, a multi-objective optimization function with three weight factors is defined, where output generated power, torque smoothness, and current smoothness are selected as optimization objectives to improve the driving range, braking comfort, and battery lifetime, respectively. Furthermore, a multi-objective optimization controller with variable switch angles is designed and combined with vehicle braking system. Finally, braking energy recovery efficiency, braking smoothness, and charging current smoothness under the multi-objective optimization controller for SRG are analyzed and compared with those under output power optimization controller. The comparison results show that the regenerative braking control strategy based on multi-objective optimization of SRG can effectively increase the vehicle braking comfort and improve battery lifetime without decreasing recovery energy.
Highlights
Environmental pollution and energy shortages have accelerated the development and use of green renewable energy
switched reluctance motor (SRM) has the disadvantage of high torque ripple [7], [8], The associate editor coordinating the review of this manuscript and approving it for publication was Xiaosong Hu
In this paper, the braking system model of the front drive vehicle driven by a four-phase 8/6 SRM was established, including mechanic braking system, switched reluctance generator (SRG) drive system model, and partition braking force distribution system
Summary
Environmental pollution and energy shortages have accelerated the development and use of green renewable energy. The above studies concentrate on braking force coupling control strategies to ensure the maximum regenerative braking force, generate the maximum possible energy, or achieve braking stability of EVs, without considering the effects of nonlinear dynamic characteristics of electric motors on the vehicle braking system. The above was to improve the power generation, restrain the current fluctuation, or reduce torque ripple through various control strategies of SRG. These indices mentioned should be selected based on system requirements and considered to be optimized comprehensively. The vehicle dynamic model and braking force distribution controller are established and co-simulated with developed multi-objective optimized SRG drive system.
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