... curves serve as features for state of health (SOH) estimation. The proposed temperature-rate-based SOH estimation method relies on a mechanistic function, analyzing relationships between temperature, different partial intervals, aging rate, and aging. Experimental tests on FCB21700 batteries demonstrate...

...Hailin Feng; Yatian Liu Fast charging has become the norm for various electronic products. The research on the state of health prediction of fast-charging lithium-ion batteries deserves more attention. In this paper, a model-data fusion state of health prediction method which can reflect...

.... In this paper, based on the second-order resistor–capacitor equivalent circuit model and the dual extended Kalman filter (DEKF) algorithm, an electrical simulation model of a LIB pack with inconsistent parameters considering the thermal effect is established, in which state of charge (SOC) and state of health...

...Chun Chang; Shaojin Wang; Jiuchun Jiang; Yang Gao; Yan Jiang; Li Liao In order to ensure the driving safety of electric vehicles and avoid potential failures, it is important to properly estimate the state of health (SOH) of lithium-ion batteries. In this paper, a method of lithium-ion battery SOH...

... concludes that there is a nonlinear correlation between model parameters and state of health (SOH). The nonlinear autoregressive neural network with exogenous input (NARX) is used to fit the nonlinear correlation for capacity regeneration. Then, the self-adaptive weight particle swarm optimization (SWPSO...

...Yu Zhang; Wanwan Zeng; Chun Chang; Qiyue Wang; Si Xu Accurate estimation of the state of health (SOH) is an important guarantee for safe and reliable battery operation. In this paper, an online method based on indirect health features (IHFs) and sparrow search algorithm fused with deep extreme...