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The Algorithm of Dynamic Battery SOC Based on Mamdani Fuzzy Reasoning

机译:基于Mamdani模糊推理的动态电池SOC算法。

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The measurement of dynamic battery spare capacity (SOC), has an important impact on the energy management system of hybrid electric vehicles. In this paper, a fuzzy forecast algorithm against the forecast of dynamic battery SOC was proposed. According to the Minimum-Maximum-Barycenter method of Mamdani fuzzy reasoning, the forecast model of vehicle dynamic battery SOC based on fuzzy forecast algorithm was established, the forecast of the battery SOC could be achieved using the present voltage and current data of battery, simulation and practical test showed that the forecast error was less than 5%, it could meet the control requirements of electric vehicle and hybrid electric vehicles  and had a wide range of applications.
机译:动态电池备用容量(SOC)的测量对混合动力汽车的能源管理系统具有重要影响。提出了一种针对动态电池SOC预测的模糊预测算法。根据Mamdani模糊推理的最小-最大-重心法,建立了基于模糊预测算法的汽车动力电池SOC预测模型,利用电池当前的电压,电流数据可以对电池SOC进行预测,进行仿真。实际测试表明,预测误差小于5%,可以满足电动汽车和混合动力汽车的控制要求,具有广泛的应用范围。

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