The accuracy of state-of-charge (SOC), state-of-energy (SOE), and state-of-health (SOH) estimations directly affects the system’s ability to sense the battery's state. Therefore, this paper proposes a multi-state co-estimation method that integrates adaptive particle filtering with gated recurrent unit (GRU) error co...
Chao Wang, Shun-Li Wang, Lei Chen et al.· Journal of the Electrochemic...· 0 citations
This paper provides a systematic review of the research progress and challenges in lithium-ion battery state-of-health (SOH) assessment based on electrochemical impedance spectroscopy (EIS). The study notes that SOH, as a core metric for assessing battery degradation and remaining lifespan, is evaluated through param...
Shun-Li Wang, Lin-Zhi Li, Liya Zhang et al.· Journal of Energy Engineerin...· 0 citations
A purely data-driven end-to-end SOC prediction framework based on sliding-window technology that adopts an SCSSA-optimized convolutional neural networks-long short-term memory-attention hybrid model that integrates a CNN for local feature extraction, an LSTM for modeling temporal dependencies, and an attention mechanis...
Xing Zhang, Ju-Qiang Feng, Shun-Li Wang et al.· Engineering Research Express· 0 citations
Lithium-ion batteries have become the core energy carrier of electric vehicles and energy storage systems due to their high energy density and long cycle life. Their state of charge (SOC) is an important parameter in battery management systems, playing a key role in energy management, safety protection, and life pred...
Shun-Li Wang, Liya Zhang, Mamadou Fall et al.· Journal of Energy Engineerin...· 0 citations
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