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首页> 外文期刊>Journal of Cleaner Production >Modeling and optimization of electrical vehicle batteries in complex clean energy systems
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Modeling and optimization of electrical vehicle batteries in complex clean energy systems

机译:复杂清洁能源系统中电动汽车电池的建模和优化

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The paper presents a general temperature-dependent model for a family of batteries developed for electrical vehicle (EV) use. In addition to the model's derivation, the methodology and instruments developed to accurately measure the temperature-dependent parameters are also presented together with a Matlab/Simulink block for a temperature-dependent battery. This information is very important for simulating the behavior of an EV in real-life weather and temperature conditions and for simulating the quick charging process, which are key issues for spreading EVs. The battery model has been verified in a complex energetic structure consisting of a harmonic controller that minimizes the amplitudes of the 3rd, 5th, 7th, 9th, and 11th higher order components of the output voltage and that of the connection voltage controller, which controls the energy flow between the low voltage network and the renewable energy source, thereby reducing the power loss of the whole low voltage transformer area and reducing the CO_2 emission of the average household.
机译:本文介绍了针对电动汽车(EV)使用的一组电池的一般温度相关模型。除了模型的推导外,还介绍了为精确测量温度相关参数而开发的方法和仪器,以及用于温度相关电池的Matlab / Simulink模块。该信息对于模拟电动汽车在现实天气和温度条件下的行为以及模拟快速充电过程非常重要,而快速充电过程是电动汽车普及的关键问题。电池模型已通过复杂的高能结构进行了验证,该结构由一个谐波控制器组成,该谐波控制器可将输出电压的第3、5、7、9和11和11个高阶分量的振幅最小化,而将连接电压控制器的振幅最小化。低压网络和可再生能源之间的能量流,从而减少了整个低压变压器区域的功率损耗,并降低了普通家庭的CO_2排放量。

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