An improved unscented particle filter approach for lithium-ion battery remaining useful life prediction

• Published in: Microelectronics and reliability Vol. 81; pp. 288 - 298
• Main Authors: Zhang, Heng, Miao, Qiang, Zhang, Xin, Liu, Zhiwen
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2018
• Subjects: Linear optimizing combination resampling; Lithium-ion battery; Particle filter; Remaining useful life prediction; Unscented Kalman filter; Linear optimizing combination resampling; Remaining useful life prediction; Lithium-ion battery; Unscented Kalman filter; Particle filter

Lithium-ion rechargeable batteries are widely used as power sources for mobile phones, laptops and electric cars, and gradually extended to military communication, navigation, aviation, aerospace and other fields. Accurate remaining useful life (RUL) prediction of lithium-ion battery plays an import...