Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm

被引：0
|
作者：
Zhang G. [1 ]
Li Z. [1 ]
Ren G. [1 ]
Li Y. [1 ]
Qi Y. [1 ]
Si Y. [1 ]
机构：
[1] School of Electromechanical and Automotive Engineering, Yantai University, Yantai
来源：
Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University | 2022年 / 40卷 / 04期
关键词：
differential evolution algorithm; hybrid power source; minimum change rate of battery output current; Minimum power consumption; power distribution control;
D O I：
10.1051/jnwpu/20224040918
中图分类号：
学科分类号：
摘要：
The hybrid power source needs to achieve the excellent power distribution control to enhance the vehicle performance, the optimization algorithm can automatically seek the optimal target according to vehicle requirements to achieve the best power distribution of hybrid power source. Power consumption is one of the core indicators for evaluating power distribution control of hybrid power source, as well as the current fluctuation of battery is an important factor that affects its power consumption and cycle life. Taking the fully-active hybrid power source configuration as the application object, a differential evolution algorithm with fast convergence speed and strong global search ability to achieve real-time power distribution control with multiple optimization goals is introduced by fully considering two important parameters of power consumption and battery current fluctuation, the power consumption model for the hybrid power source is established, the functional relationship between the power consumption of hybrid power source, current change of battery and its output current is given. In this algorithm, the minimum power consumption of the hybrid power source and the minimum change rate of the battery output current are selected as the optimization goals, the weight coefficients of the two optimization goals are assigned to seek the influence relationship between the two optimization goals. The empirical results from a simulation verify effectiveness and reliability of the designed scheme. The research results provide a reference for controlling the power distribution and optimizing the hybrid power source of electric vehicle. ©2022 Journal of Northwestern Polytechnical University.
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页码：918 / 925
页数：7
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