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机构地区:[1]山东理工大学交通与车辆工程学院,山东淄博255000
出 处:《电源技术》2013年第9期1566-1569,共4页Chinese Journal of Power Sources
基 金:国家高技术研究发展计划(“863”计划)(2012AA110305);山东省高校科技计划项目(J12LI02)
摘 要:电动汽车荷电态SOC的准确预测对于避免电池的不合理应用,限制电池最大放电电流,预测电动汽车的续驶里程等方面至关重要。目前相关研究大多利用电量估算SOC值,以氢镍电池作为研究对象,采用能量守恒方法,并采用开路电压、温度、内阻、循环次数、自放电率等多种因素对其修正估算SOC的值。根据电池数据分别建立影响因素与SOC的静态模型;基于能量守恒建立电池SOC估算的动态模型;使用Matlab进行动态模型的仿真实验,得到电动汽车在实际行驶过程中变电流的仿真结果,仿真结果误差在5%之内。Accurate prediction of the electric vehicle state of charge is essential for avoiding unreasonable application of the battery, limiting the maximum battery discharge current, and forecasting the endurance mileage of electric vehicles. And the present studies mostly use electricity to estimate the SOC values. NI-MH battery was selected as the study object, using the method of conservation of energy, and the open circuit voltage, temperature, internal resistance, cycles, self-discharge rate and other factors amendment to estimate SOC value. Firstly, the static model of the influencing factors and SOC was built; the dynamic model to estimate the SOC based on conservation of energy was established; Matlab was used to simulate the battery dynamic model and get the actual process of variable current simulation results with simulation results error within 5%.
分 类 号:TM912[电气工程—电力电子与电力传动]
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