A study on the dynamic SOC compensation of an ultracapacitor module for the hybrid energy storage system

Hyun-Sik Song, Jin-Beom Jung, Baek-haeng Lee, Dong-hyun Shin, Byounghoon Kim, Yu-Cheol Park, Hoon Heo, Heejun Kim
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引用次数: 6

Abstract

There have been a number of methods proposed for accurate state of charge (SOC) estimation of a battery as an important role of the battery management System (BMS). However, adequate test data of batteries and BMS development costs must be taken into consideration before application in actual vehicles. In addition, different algorithms need to be adopted according to the type of energy storage device and system configuration. For a mild-HEV hybrid energy storage device that uses the ultracapacitor module and the VRLA battery, the small capacitance of ultracapacitor module makes accurate SOC difficult. Accordingly, this paper introduces a dynamic SOC estimation algorithm capable of SOC compensation of the ultracapacitor module even when there is current input and output. A cycle profile that simulates the operating conditions of a mild-HEV was applied to a vehicle simulator to verify the effectiveness of the proposed algorithm based on testing.
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混合储能系统超级电容模块动态荷电补偿研究
电池荷电状态(SOC)的准确估计是电池管理系统(BMS)的重要组成部分,目前已有许多方法被提出。然而,在实际车辆应用之前,必须考虑足够的电池测试数据和BMS开发成本。此外,根据储能设备的类型和系统配置需要采用不同的算法。对于使用超级电容模块和VRLA电池的轻型混合动力储能装置,超级电容模块的小电容给精确的SOC带来了困难。据此,本文提出了一种动态荷电状态估计算法,该算法能够在有电流输入和输出的情况下对超级电容模块进行荷电补偿。将模拟轻型混合动力汽车工况的循环曲线应用于车辆模拟器,在测试的基础上验证了所提算法的有效性。
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