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The Simulation of Ni-MH Battery Based on Optimized Thevenin Model

机译:基于优化近野模型的Ni-MH电池仿真

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Ni-MH battery modeling and simulation is an important prerequisite for the study of battery characteristics and SOC estimation, so the establishment of accurate models on the battery itself and electric vehicle has important significance. The open circuit voltage is an important parameter of the battery modeling, which directly affects the accuracy of the battery model. Battery in the charge and discharge, the open circuit voltage is not the same, which is unfavorable to the modeling of the battery. So, based on the dynamic hysteresis characteristic of the open-circuit voltage of Ni-MH battery, the selection of Open-circuit voltage is optimized on the basis of the Thevenin simulation model, and the simulation model mainly optimizes the relationship between the open circuit voltage and the historical charge-discharge current direction. This paper using Hybrid Pulse Power Characterization(HPPC) test on Ni-MH power battery and Recursive Least Square method(RLS) for model parameter identification. Using Simulink to build classical Thevenin model and the optimized Thevenin model and then simulate with the input of variable current on the model. The simulation results show that the optimization model can better reflect the battery characteristics for the actual working condition of the electric vehicle and it has higher precision.
机译:NI-MH电池造型和仿真是研究电池特性和SOC估计的重要前提,因此在电池本身和电动车辆上的准确模型具有重要意义。开路电压是电池造型的重要参数,它直接影响电池模型的精度。电池充电放电,开路电压不一样,这是对电池的建模不利。因此,基于Ni-MH电池开路电压的动态滞后特性,在临时仿真模型的基础上进行了优化了开路电压的选择,仿真模型主要优化开路之间的关系电压和历史放电电流方向。本文采用混合脉冲功率表征(HPPC)测试NI-MH电力电池和递归最小二乘法(RLS)进行模型参数识别。使用Simulink构建经典临时模型和优化的母线模型,然后用模型上的可变电流的输入模拟。仿真结果表明,优化模型可以更好地反映电动车实际工作状态的电池特性,并且具有更高的精度。

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