Solar car endurance model and capacity optimal configuration of PV and battery method
                                            MAO Tao tao, PAN Guo bing, OU YANG Jing, CHEN Jin xin, XU Fang
（Key Laboratory of E & M, Ministry of Education & Zhejiang Province, Zhejiang University of Technology, Hangzhou 310014, China）

Abstract: Aiming at the contradiction problem between energy system investment cost and endurance and in order to achieve the optimal configuration method of PV and battery in solar car, the characteristics of photovoltaic power, energy storage system and main load in solar car were studied, PV/battery mixed energy system structure was used as an object and the multi objective optimal capacity configuration model was established, and then, the solar car capacity configuration method of PV and battery based on the NSGA II multi objective algorithm was proposed. The solar car endurance model was established and it was used to analysis the effect of the method. The NSGA II multi objective genetic algorithm was used to solve the capacity of photovoltaic power and battery and the configuration program was obtained. The example was used to solve the problem and the configuration method was used to solve the specific engineering case, and then, the configuration scheme was analyzed. The results show the accuracy of the solar car endurance model and the validity and reliability of the capacity optimal configuration method.

Key words: solar car; energy storage system; multi objective; capacity configuration