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Energy management for plug-in hybrid electric vehicles using equivalent consumption minimisation strategy

机译:使用等效能耗最小化策略的插电式混合动力汽车的能源管理

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One strategy to minimise petroleum fuel consumption of a Plug-in Hybrid Electric Vehicle (PHEV) is to attain the lowest admissible battery State of Charge (SOC) at the end of driving cycle while following an optimal SOC profile. The challenge of an optimisation algorithm is to find this optimal profile by using least future information about the power demand. An application of Equivalent Consumption Minimisation Strategy (ECMS) for PHEV is presented in this paper and benchmarked against the dynamic programming (DP) for information requirement and optimality. The optimality is assessed in simulation by considering petroleum fuel economy and deviation of the optimal SOC profile from a reference profile for different driving scenarios and battery sizes. Results show that for longer distances and larger battery sizes, ECMS and DP provide similar fuel economy and SOC profiles. A sensitivity analysis with respect to driving distance is presented at the end of the paper.
机译:使插电式混合动力汽车(PHEV)的石油燃料消耗最小化的一种策略是,在行驶周期结束时遵循最佳SOC曲线,以实现最低的允许电池充电状态(SOC)。优化算法的挑战是通过使用最少的有关功率需求的未来信息来找到此最佳配置文件。本文提出了一种针对PHEV的等效消费最小化策略(ECMS)的应用,并针对信息需求和最优性的动态规划(DP)进行了基准测试。在仿真中,通过考虑石油燃料经济性以及针对不同驾驶场景和电池尺寸的最佳SOC曲线与参考曲线的偏差,评估了最佳性。结果表明,对于更长的距离和更大的电池尺寸,ECMS和DP提供相似的燃油经济性和SOC曲线。关于驾驶距离的敏感性分析在本文的结尾给出。

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