蓄电池组智能均衡管理系统的研究

发布时间：2018-04-20 19:09

本文选题：SOC估算 + 最小二乘法　；参考：《东北大学》2014年硕士论文

【摘要】：当今社会,随着能源危机和环境污染的一步步加剧,寻找新的能源已迫在眉睫。作为人们日常生活中交通工具的纯电动汽车,已经越来越受到人们的青睐。然而,由于蓄电池管理技术的牵绊,大大限制了电动汽车的普及。因此,针对电动汽车中蓄电池组管理系统的不足,本文做了比较深入的研究。在现在电动汽车的管理系统中,剩余电量(SOC)的估算以及均衡技术研究成为蓄电池管理系统中的重中之重。本文也针对这两个方面进行研究。在SOC估算中,根据传统的安时积分法和开路电压法,本文提出了一种修正安时积分-开路电压法,有效的避免了传统安时积分法精度低以及开路电压法不能在线实时估算的缺点。在均衡控制的研究中,本文依据系统辨识理论,根据实测电池组充放电数据利用最小二乘参数估计算法,建立了均衡算法的预测数学模型。在此基础上,采用蓄电池组管理芯片LTC6804设计了充放电均衡电路。实验验证了均衡算法的正确性,提高了蓄电池组动态均衡效果,延长了蓄电池的使用寿命,节约了成本。
[Abstract]:Nowadays, with the intensification of energy crisis and environmental pollution, it is urgent to find new energy. As people's daily life of pure electric vehicles, has been more and more favored by people. However, due to battery management technology constraints, greatly limited the popularity of electric vehicles. Therefore, aiming at the deficiency of battery management system in electric vehicle, this paper makes a deep research. In the current electric vehicle management system, the estimation of the residual power quantity and the research of the equalization technology have become the most important part of the battery management system. This article also carries on the research to these two aspects. In SOC estimation, according to the traditional integration method and open circuit voltage method, a modified Amhour integral-open circuit voltage method is proposed in this paper. It can effectively avoid the disadvantages of low precision of traditional Anchorage integration method and the fact that the open circuit voltage method can not be estimated in real time on line. In the study of equalization control, based on the theory of system identification, the predictive mathematical model of the equalization algorithm is established by using the least square parameter estimation algorithm based on the measured battery charge and discharge data. On this basis, the charge and discharge equalization circuit is designed by using the battery management chip LTC6804. The experiment proves the correctness of the equalization algorithm, improves the dynamic equalization effect of the battery group, prolongs the battery service life and saves the cost.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM912

【相似文献】