针对传统锂离子电池组容量确定方法存在的效率低、能耗高且只能离线应用等问题,提出一种基于电池剩余充电电量的锂离子电池组容量快速估计方法。首先,基于充电电压曲线一致性原理,以电池组内率先充电至充电截止电压的电池单体电压曲线为基准,通过电压曲线的平移缩放与线性插值计算出各单体电池的剩余充电电量与剩余充电时间,从而实现各单体电池的荷电状态(State of Charge, SOC)在线估计,在此基础上实现电池组容量的快速估计。其次,在电池单体模型的基础上建立电池组的仿真模型,并在全SOC区域上对模型参数进行分段辨识。通过所建立的仿真模型得到电池组的充放电曲线,并对电池组容量进行估计。最后,对4个单体串联而成的电池组进行充电试验。研究结果表明:仿真容量与估计容量误差为1.2%以内,验证了所提出的容量快速估计算法的有效性;利用所提方法估计出电池组容量与试验得到的电池组容量的误差为2.61%;该方法根据电池充电曲线的平移与缩放即可在线估计出电池组容量,可应用于新电池组容量的在线快速估计,能在保证3%估计误差的基础上将检测效率提高到传统方法的2倍以上。 相似文献
The travel behavior of passengers from the transportation hub within the city area is critical for travel demand analysis, security monitoring, and supporting traffic facilities designing. However, the traditional methods used to study the travel behavior of the passengers inside the city are time and labor consuming. The records of the cellular communication provide a potential huge data source for this study to follow the movement of passengers. This study focuses on the passengers’ travel behavior of the Hongqiao transportation hub in Shanghai, China, utilizing the mobile phone data. First, a systematic and novel method is presented to extract the trip information from the mobile phone data. Several key travel characteristics of passengers, including passengers traveling inside the city and between cities, are analyzed and compared. The results show that the proposed method is effective to obtain the travel trajectories of mobile phone users. Besides, the travel behavior of incity passengers and external passengers are quite different. Then, the correlation analysis of the passengers’ travel trajectories is provided to research the availability of the comprehensive area. Moreover, the results of the correlation analysis further indicate that the comprehensive area of the Hongqiao hub plays a relatively important role in passengers’ daily travel.
