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HEV电机辅助能量管理控制策略优化研究

Optimization research of HEV motor assist energy management control strategy
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摘要 混合动力电动汽车(Hybrid Electric Vehicle,HEV)中基于规则的电机辅助(Motor Assist,MA)能量管理策略控制效率偏低,为了优化发动机效率,提高车辆燃油经济性,根据给定的行驶工况,首先运用动态规划(DP)算法离线计算出全局最优化结果,然后从优化结果中提取最优控制规则并运用于基于规则的能量管理控制策略中,提出了改进的MA控制算法,并在高级车辆仿真器ADVISOR软件平台下进行仿真,结果表明新的控制策略能有效提高车辆的燃油经济性。 As the rule-based Motor Assist(MA) energy management strategy of the Hybrid Electric Vehicles (HEV) is low con- trol efficiency at present,in order to optimize the engine efficiency and enhance the fuel economy to the vehicle, according to the given driving cycle firstly calculate the optimal results by used the Dynamic Programming(DP) algorithm, then extract the optimal control rules from the optimal results, and applied to the rule-based energy management strategy, propose a modified MA control algorithm, and the simulations have been carried on with the ADVISOR platform, the results demonstrate the new control strategy can improves the fuel economy of the vehicle effectively.
出处 《现代制造工程》 CSCD 北大核心 2012年第4期40-45,共6页 Modern Manufacturing Engineering
基金 广西科技攻关计划项目(桂科攻0992006-13)
关键词 混合动力电动汽车 能量管理 燃油经济性 动态规划 基于规则 hybrid electric vehicle energy management fuel economy dynamic programming rule-based
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