首页> 外文会议>Transportation Electrification Conference and Expo (ITEC), 2012 IEEE >Mathematical modeling of Li-ion battery for charge/discharge rate and capacity fading characteristics using genetic algorithm approach
【24h】

Mathematical modeling of Li-ion battery for charge/discharge rate and capacity fading characteristics using genetic algorithm approach

机译:锂离子电池充放电速率和容量衰减特性的数学建模

获取原文
获取原文并翻译 | 示例

摘要

The objective of this work is to develop an accurate Battery Model (BM) and Capacity Model (CM) to study the performance of vehicle-to-grid interaction. Using BM and CM, the amount of capacity fading is analyzed while the power is stored in the battery or transferred to the grid. The BM is developed for Li-ion battery based on the Electrical Equivalent Circuit (EEC) and the CM is proposed based on processed energy for different charging/discharging rate. The proposed model is simulated using MATLAB Simulink environment and the parameters are optimized using Genetic Algorithm (GA) approach to compare the results with manufacturer's catalogue data. The obtained battery characteristics are in close agreement with the measured (manufacturer catalogue) characteristics.
机译:这项工作的目的是开发一个准确的电池模型(BM)和容量模型(CM),以研究车辆到电网交互的性能。使用BM和CM可以分析功率衰减量,同时将电能存储在电池中或传输到电网。针对锂离子电池开发了基于电子等效电路(EEC)的BM,并基于处理后的能量针对不同的充电/放电速率提出了CM。在MATLAB Simulink环境下对提出的模型进行了仿真,并使用遗传算法(GA)对参数进行了优化,以将结果与制造商的目录数据进行比较。所获得的电池特性与测得的(制造商目录)特性非常一致。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号