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Energy Management Strategy of Plug-In Hybrid Electric Vehicles Considering Thermal Characteristics

机译:考虑热特性的插电式混合动力汽车能量管理策略

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摘要

In order to explore the influence of the thermal management system (TMS) on vehicle energy management and tap the energy saving potential of TMS, this study establishes a vehicle energy management strategy control model oriented to reduce energy consumption of the TMS based on MATLAB/Simulink for a plug-in hybrid electric vehicle with planetary hybrid configuration. Firstly, a simulation model of vehicle dynamic machine - electric - thermal coupling working process is introduced, to evaluate the impact of TMS in the high and low temperature environment on energy consumption of the vehicle running. Then, based on the equivalent fuel consumption minimum strategy (ECMS) and considering the influence of TMS on energy consumption, an adaptive equivalent consumption minimum strategy model considering thermal characteristics (TAECMS) is established, which propose an improved adaptive equivalent factor adjustment method considering the thermal characteristics of the system is proposed. By establishing the Hamiltonian function to achieve the goal of minimum equivalent fuel consumption, considering the temperature penalty, the power of the engine and the power of the battery is reasonably allocated. Finally, the TAECMS control strategy achieves fuel saving of 6.2 and 8.4 respectively in high and low temperature environments through simulation verification and comparison.
机译:为探究热管理系统(TMS)对车辆能量管理的影响,挖掘TMS的节能潜力,本文建立了基于MATLAB/Simulink的行星式混合动力插电式混合动力汽车的车辆能量管理策略控制模型,以降低TMS的能耗为导向。首先,介绍了车辆动力机-电-热耦合工作过程的仿真模型,评估了高低温环境下TMS对车辆运行能耗的影响;然后,基于等效燃料消耗最小值策略(ECMS),考虑TMS对能耗的影响,建立了考虑热特性的自适应等效消耗最小值策略模型(TAECMS),提出了一种考虑系统热特性的改进自适应等效因子调整方法。通过建立哈密顿函数实现最小等效油耗的目标,考虑温度损失,合理分配发动机功率和电池功率。最后,通过仿真验证和对比,TAECMS控制策略在高低温环境下分别实现了6.2%和8.4%的节油效果。

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