ONLINE DETERMINATION OF MODEL PARAMETERS OF LEAD ACID BATTERIES AND COMPUTATION OF SOC AND SOH

• Main Authors: JEEVAN REDDY NEELAM, MADASAMY SHUNMUGAVEL, HARMOHAN N. SINGH
• Format: Patent
• Language: Chinese; English
• Published: 07.09.2018
• Subjects: MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; PHYSICS; TESTING

Disclosed are online determination of model parameters of lead acid batteries and computation of a State-of-Charge (SoC) and a State-of-Health (SoH). Methods and apparatus for online estimation of battery model parameters for determining an SoC and an SoH of a battery are provided. A mathematical approach using voltage, current, and temperature samples at programmable intervals to estimate RC battery model parameters is utilized, reducing computational requirements to enable real-time estimation of the SoC in an online environment. The SoC estimation utilizes an optimal estimator with an Extended Kalman Filter (EKF) to reduce sensitivity to process noise and measurement errors. After a discharge or charge operation, the SoH can also be estimated and updated as necessary. 公开了铅酸电池的模型参数的在线确定以及SOC和SOH的计算。提供了用于在线估计用于确定电池的荷电状态（SoC）和健康状态（SoH）的电池模型参数的方法和装置。利用了使用在可编程的间隔的电压、电流和温度采样来估计RC电池模型参数的数学方法，从而降低了计算要求以使得能够进行在线环境中的SoC的实时估计。SoC估计利用具有扩展卡尔曼滤波器（EKF）的最优估计器以降低对处理噪声和测量误差的敏感度。在放电或充电操作之后，还能够根据需要估计和更新SoH。