期刊
JOURNAL OF POWER ELECTRONICS
卷 16, 期 1, 页码 238-248出版社
KOREAN INST POWER ELECTRONICS
DOI: 10.6113/JPE.2016.16.1.238
关键词
Dual Extended Kalman Filter (DEFK); Hysteresis Effect; Diffusion Effect; Idle Start-Stop (ISS) System; State-of-Charge (SOC)/State-of-Health (SOH) Estimation
The state-of-charge (SOC) and state-of-health (SOH) estimation of batteries play important roles in managing batteries for automotive applications. However, an accurate state estimation of a battery is difficult to achieve because of certain factors, such as measurement noise, highly nonlinear characteristics, strong hysteresis phenomenon, and diffusion effect of batteries. In certain vehicular applications, such as idle stop start systems (ISSs), significant errors in SOC/SOH estimation may lead to a failure in restarting a combustion engine after the shut-off period of the engine when the vehicle is at rest, such as at a traffic light. In this paper, a dual extended Kalman filter algorithm with a dynamic equivalent circuit model of a lead acid battery is proposed to deal with this problem. The proposed algorithm adopts a battery model by taking into account the hysteresis phenomenon, diffusion effect, and parameter variations for accurate state estimations of the battery. The validity of the proposed algorithm is verified through experiments by using an absorbed glass mat valve-regulated lead acid battery and a battery sensor cable for commercial ISS vehicles.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据