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首页> 外文期刊>SAE International Journal of Electrified Vehicles >Energy Management Strategy for Dual-Motor Two-Speed Transmission Electric Vehicles Based on Dynamic Programming Algorithm Optimization
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Energy Management Strategy for Dual-Motor Two-Speed Transmission Electric Vehicles Based on Dynamic Programming Algorithm Optimization

机译：双能量管理策略双速电动汽车基于传播动态编程算法优化

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摘要

In this article, an integrated "dual-motor automated mechanical transmission" configuration was proposed for battery electric vehicles, and a rule-based energy management strategy based on dynamic programming (DP) algorithm optimization was designed. The rule-based energy management strategy was used for online control, and the DP algorithm was used to optimize the control parameters of the rule-based energy management strategy offline. Finally, the optimization results were validated online using the hardware-in-the-loop simulation platform. The results showed that on average, the optimized rule-based energy management strategy can reduce energy consumption by 4.16% under the New European Driving Cycle, Urban Dynamometer Driving Schedule, and Japan 1015 cycle conditions. More importantly, there were evident energy-saving effects on the United States 06, China Light-Duty Vehicle Test Cycle-Passenger, and Highway Fuel Economy Test cycle conditions, which did not participate in the optimization of the rule-based energy management strategy by the DP algorithm.
机译：在本文中,一个集成的“双自动机械传动”配置提出了电动汽车电池,和一个吗基于规则的基于能量管理策略动态规划(DP)算法的优化设计。策略是用于在线控制和DP算法被用来优化控制参数的基于规则的能源管理离线策略。结果验证了在线使用半实物仿真平台。结果表明,平均而言,优化基于规则的能量管理策略可以减少根据新能源消耗4.16%欧洲行驶循环、城市测力计开车时间表,和日本1015年周期的条件。重要的是,有明显的节能影响美国06年,中国轻型车辆测试Cycle-Passenger和高速公路的燃料没有经济条件测试周期参与基于规则的优化能量管理策略的DP算法。

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