| 高精度预测SOC的混合电动车电池管理系统的研究 |
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| 引用本文： | 吴东兴,关道诤,齐国光. 高精度预测SOC的混合电动车电池管理系统的研究[J]. 高技术通讯, 2006, 16(4): 391-394 |
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| 作者姓名： | 吴东兴 关道诤 齐国光 |
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| 作者单位： | 湖南大学软件学院,长沙,410082;清华大学计算机科学与技术系,北京,100084 |
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| 摘 要： | 研制了新型的电动汽车蓄电池组管理系统,该系统在提高采集监测电流、电压、温度等信号精度的基础上,采用了放电率、温度、自放电及容量老化等补偿的安时积分模型的估计,并考虑了自调整,从而可以以较高的精度预测电动汽车的电池荷电状态(SOC).
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| 关 键 词： | 荷电状态 电池管理系统 混合电动汽车 安时模型 |
| 收稿时间： | 2005-04-28 |
| 修稿时间： | 2005-04-28 |
Research on hybrid electric vehicle's battery management system with high-precision forecast of state of charge (SOC) |
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| Wu Dongxing,Guan Daozheng,Qi Guoguang. Research on hybrid electric vehicle's battery management system with high-precision forecast of state of charge (SOC)[J]. High Technology Letters, 2006, 16(4): 391-394 |
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| Authors: | Wu Dongxing Guan Daozheng Qi Guoguang |
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| Affiliation: | 1.Software School of Hunan University, Changsha 410082; 2. Department of Computer Science and Technology, Tsinghua University, Beijing 100084 |
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| Abstract: | This paper introduces a new type of battery management system(BMS) for Ni-MH batteries in hybrid electric vehicles.On the basis of improving the measurement of parameters such as current,voltage and temperature,the system can estimate the state of charge(SOC) of the batteries with high precision by adopting the ampere-hour model with compensation in charge-discharge rate,temperature,self-discharge,aging and the consideration of self-adjust ment. |
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| Keywords: | state of charge(SOC) battery management system(BMS) hybrid electric vehicle(HEV) ampere-hour model |
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