The invention provides a fuel cell and lithium battery hybrid power system parameter matching method, which comprises the following steps: S1, setting a multi-dimensional parameter matching optimization tensor space, and carrying out hybrid power system parameter matching optimization; S2, each three-dimensional variable in the multi-dimensional parameter matching optimization tensor space is an alternative parameter matching scheme to be evaluated; S3, on the basis of a deep reinforcement learning algorithm, optimizing a power distribution strategy for each alternative scheme according to the characteristic working conditions; and S4, generating an optimal power distribution result by an energy management strategy based on a reinforcement learning algorithm according to each alternative scheme. According to the method, the equivalent hydrogen consumption cost, the fuel cell operation aging loss cost and the power cell operation aging loss cost are quantitatively considered in real time in the fuel cell energy management strategy optimization problem, optimization targets are comprehensively covered, the calculation time can be shortened, and the efficiency is improved.
本发明提供燃料电池锂电池混合动力系统参数匹配方法,S1、设立了多维参数匹配优化张量空间,进行混合动力系统参数匹配优化;S2、多维参数匹配优化张量空间内各三维变量为待评估的备选参数匹配方案;S3、基于深度强化学习算法,针对特征工况,为各备选方案优化功率分配策略;S4、根据各备选方案由基于强化学习算法的能量管理策略生成的最优功率分配结果。本发明在燃料电池能量管理策略优化问题中对等效氢耗成本、燃料电池运行老化损耗成本、动力电池运行老化损耗成本进行了实时量化考虑,优化目标涵盖全面,可以减少计算时间,提高效率。
Parameter matching method for fuel cell and lithium battery hybrid power system
燃料电池锂电池混合动力系统参数匹配方法
2021-06-25
Patent
Elektronische Ressource
Chinesisch
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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