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Temperature dependent circuit-based modeling of high power Li-ion battery for plug-in hybrid electrical vehicles

机译:用于插入式混合动力电动车辆的高功率锂离子电池温度依赖电路型材

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To increase the electrical range of plug-in hybrid electric vehicles (PHEVs)/electrical vehicle (EVs), interest of researchers is increased significantly in Li-ion batteries as these are leading energy storage component. An accurate modeling of battery with knowledge of all its parameters will optimize the vehicle performance. For achieving better performance of vehicle, correct knowledge of state of charge (SOC) of battery is required. Battery characteristics get affected due to several parameters such as temperature, aging and cycle life etc. In this paper, a new expression of temperature dependent battery SOC is developed and effect of temperature variation on this is investigated. Change in temperature influences the current, open circuit voltage (OCV), internal resistance and capacity of battery which contribute in SOC estimation. To demonstrate the real time characteristics and behavioral change of battery with respect to temperature; two dynamic battery models using MATLAB/SIMULINK environment are implemented. Influence of temperature on OCV, resistance, capacity and SOC is observed and simulation results are compared with recent studies. The simulation results show the effectiveness of models proposed.
机译:为了增加插入式混合动力电动车(PHEV)/电动车辆(EVS)的电力范围,研究人员的兴趣在锂离子电池中显着增加,因为这些是领先的能量存储部件。具有其所有参数的知识的精确建模将优化车辆性能。为了实现更好的车辆性能,需要正确了解电池的充电状态(SOC)。电池特性因诸如温度,老化和循环寿命等几个参数而受到影响。在本文中,开发了一种新的温度依赖电池SOC表达,并研究了温度变化对此的影响。温度的变化会影响电流,开路电压(OCV),电池的内阻和容量,这些电池在SOC估计中有助于贡献。展示电池的实时特性和相对于温度的行为变化;实现了使用MATLAB / SIMULINK环境的两个动态电池模型。观察到温度对OCV,抗性,容量和SOC的影响,并与最近的研究进行了比较仿真结果。仿真结果表明了建议模型的有效性。

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