| 基于参数与状态联合估算的SOC预测法 |
| |
| 引用本文： | 李超,刘忠庆. 基于参数与状态联合估算的SOC预测法[J]. 电源技术, 2012, 36(3): 362-364,373 |
| |
| 作者姓名： | 李超 刘忠庆 |
| |
| 作者单位： | 1. 烟台大学文经学院电子信息与计算机科学系,山东烟台,264005
2. 烟台庆林电子有限公司技术部,山东烟台,264003 |
| |
| 摘 要： | 将参数和状态联合估算法应用于Ni/MH电池的SOC估算。该方法以二阶RC模型为基础,运用"两阶段自举算法",先用限定记忆的递推最小二乘法在线得出模型参数,再将这些参数应用于状态空间模型,并用扩展的卡尔曼滤波法得出SOC预测值。仿真结果表明该方法能大大提高SOC的估算精度。
|
| 关 键 词： | Ni/MH电池 SOC 参数与状态的联合估算 扩展的Kalman滤波 最小二乘 |
SOC estimate based on joint determination of parameters and states |
| |
| LI Chao , LIU Zhong-qing. SOC estimate based on joint determination of parameters and states[J]. Chinese Journal of Power Sources, 2012, 36(3): 362-364,373 |
| |
| Authors: | LI Chao LIU Zhong-qing |
| |
| Affiliation: | 1.Department of Electronic Information and Computer Science,WenJing School,YanTai University,Yantai Shandong 264005,China; 2.Technology Department,Yantai Qinglin Electronics Company Limited,Yantai Shandong 264003,China) |
| |
| Abstract: | A forecasting method for SOC of Ni/MH battery based on the joint determination of parameters and states was proposed in this paper.Based on the second-order RC battery model,the two step bootstrap method was used.Firstly,the real time parameter identification was implemented using the methods of finite memory recursive least squares,then,those parameters were applied to the state space model;at last,SOC was estimated by the extended kalman filter(EKF).The result of simulation shows that this method can improve the accuracy of SOC estimation consumedly. |
| |
| Keywords: | Ni/MH Battery SOC the joint determination of parameters and states the extended kalman filter(EKF) least square |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
