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太阳能汽车续航模型及光储优化配置方法 被引量:2

Solar car endurance model and capacity optimal configuration of PV and battery method
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摘要 针对太阳能汽车中能量系统投资成本和续航能力的矛盾问题,同时为了实现太阳能汽车光储容量配置方法,对太阳能汽车中光伏电源、储能系统和主要负荷的特性进行了研究,采用通用光储混合能量系统结构为对象,建立了光储容量优化配置模型,提出了一种基于NSGA-II多目标优化算法的太阳能汽车光储容量优化配置方法。建立了太阳能汽车续航能力计算模型,用于分析该容量配置方法的效果。利用NSGA-II多目标优化算法对光伏电源和储能系统容量进行了求解,得到了满足能源系统成本与续航能力优化目标的配置方案。通过算例求解了光储容量配置方法最优解集,针对具体工程案例优化了配置方案并对该配置方案进行了分析。结果表明:该太阳能汽车续航模型的准确性和光储容量优化配置方法的有效性、可靠性。 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.
出处 《机电工程》 CAS 北大核心 2018年第1期68-72,100,共6页 Journal of Mechanical & Electrical Engineering
基金 国家国际科技合作专项资助项目(2014DFE60020) 浙江省自然科学基金资助项目(LY15E070004) 浙江省科技厅协同创新资助项目(2016F50010)
关键词 太阳能汽车 储能系统 多目标 容量配置 solar ca r energy storage system multi-objective capacity configuration
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