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首页> 外文期刊>International review of electrical engineering >An Extended PNGV Battery Model for Electric and Hybrid Vehicles
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An Extended PNGV Battery Model for Electric and Hybrid Vehicles

机译:电动和混合动力汽车的扩展PNGV电池模型

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摘要

Battery performances at different operating conditions, temperature, loading ... etc, have a great influence on the performance of the electrical vehicles (EVs) and hybrid electric vehicles (HEVs). Therefore, an accurate and efficient battery model is needful to predict and optimize the battery performance. This paper presents a battery model with a series of innovative aspects into the partnership for a new generation of vehicles (PNGV), which also known as FreedomCAR battery model. The proposed battery model, extended PNGV (EPNGV), proposes some modification in the parameters estimation and modeling techniques as well the PNGV battery model itself. In addition, the EPNGV model includes the influence of the state of charge, temperature, current rates (c-rates) and cycle number on the model parameters, as well the Peukert constant, self-discharging, energy efficiency and state of health prediction. Experimental results of lithium-polymer 12Ah 3.7V batteries are used for the battery models parameters estimation and validation. The EPNGV battery model has been compared with other battery models: the Thevenin and the traditional PNGV battery models at different operating conditions based on experimental and simulation results. The battery parameters estimation as well the battery modeling are implemented using MATLAB/Simulink.
机译:电池在不同的工作条件,温度,负载等条件下的性能对电动汽车(EV)和混合电动汽车(HEV)的性能有很大影响。因此,需要准确而有效的电池模型来预测和优化电池性能。本文介绍了与新一代汽车(PNGV)合作的一系列创新方面的电池模型,也称为FreedomCAR电池模型。所提出的电池模型,扩展的PNGV(EPNGV),对参数估计和建模技术以及PNGV电池模型本身进行了一些修改。此外,EPNGV模型还包括充电状态,温度,电流速率(c速率)和循环次数对模型参数的影响,以及Peukert常数,自放电,能效和健康状态预测。锂聚合物12Ah 3.7V电池的实验结果用于电池模型参数估计和验证。 EPNGV电池模型已与其他电池模型进行了比较:基于实验和仿真结果,在不同工作条件下的戴维宁和传统PNGV电池模型。电池参数估计以及电池建模均使用MATLAB / Simulink实现。

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