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Optimal Energy Management of Plug-In Hybrid Electric Vehicles Concerning the Entire Lifespan of Lithium-Ion Batteries

机译:关于锂离子电池整个寿命的插入式混合动力电动汽车的最佳能量管理

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摘要

The performance of lithium-ion batteries will inevitably degrade during the high frequently charging/discharging load applied in electric vehicles. For hybrid electric vehicles, battery aging not only declines the performance and reliability of the battery itself, but it also affects the whole energy efficiency of the vehicle since the engine has to participate more. Therefore, the energy management strategy is required to be adjusted during the entire lifespan of lithium-ion batteries to maintain the optimality of energy economy. In this study, tests of the battery performances under thirteen different aging stages are involved and a parameters-varying battery model that represents the battery degradation is established. The influences of battery aging on energy consumption of a given plug-in hybrid electric vehicle (PHEV) are analyzed quantitatively. The results indicate that the variations of capacity and internal resistance are the main factors while the polarization and open circuit voltage (OCV) have a minor effect on the energy consumption. Based on the above efforts, the optimal energy management strategy is proposed for optimizing the energy efficiency concerning both the fresh and aging batteries in PHEV. The presented strategy is evaluated by a simulation study with different driving cycles, illustrating that it can balance out some of the harmful effects that battery aging can have on energy efficiency. The energy consumption is reduced by up to 2.24% compared with that under the optimal strategy without considering the battery aging.
机译:锂离子电池的性能在施加在电动车辆中的高频率充电/放电负荷期间不可避免地降解。对于混合动力电动车辆,电池老化不仅拒绝了电池本身的性能和可靠性,而且由于发动机必须更多地,它还影响了车辆的整体能源效率。因此,需要在锂离子电池的整个寿命期间调整能量管理策略,以保持能量经济的最优性。在本研究中,涉及13个不同老化阶段的电池性能的测试,并且建立了代表电池劣化的参数变化电池模型。定量地分析了电池老化对给定插入式混合电动车(PHEV)的能量消耗的影响。结果表明,容量和内部电阻的变化是主要因素,而极化和开路电压(OCV)对能量消耗具有轻微影响。基于上述努力,提出了最佳的能源管理策略,以优化PHEV中新鲜和老化电池的能量效率。通过具有不同驱动周期的模拟研究评估所提出的策略,说明它可以平衡电池老化可以对能效的一些有害影响。与最佳策略相比,能量消耗降低了2.24%,而不考虑电池老化。

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