The comparison of ANFIS method with the neural method showed that the ANFIS method is more accurate in estimating the state of charge and correlates the experimental points and the output of the network, so that ANFIS error in some states of charge is less than 2%.
Accurate remaining useful life (RUL) prediction is the core support for battery health management in new energy vehicles and energy storage systems. Aiming at the accuracy bottleneck caused by empirical parameter setting in neural network (NN) prediction models, this paper constructs a coupled RUL prediction model opti...
Wei Luo, Yan-Mei Cui· 2026 6th International Confe...· 0 citations
This paper presents an integrated hardware–software framework for real-time SOC estimation and intelligent power control using a machine learning approach and demonstrates high prediction accuracy with a mean absolute error of 0.0062% and R2 of 99.9997%, outperforming conventional and deep learning-based approaches.
P. David, S. Vani, S. Kavitha et al.· Engineering Research Express· 0 citations
Lithium-ion batteries are the backbone of electric vehicles, renewable energy storage, and new emerging smart grid applications. However, the safety and the economic value of such batteries depend heavily on the proper assessment of State of Health (SOH). Conventional invasive measurements provide detailed information;...
Jun-Qi Zhang, R. Diao· Journal of Environmental &am...· 0 citations
In the age of rapid digital transformation, electric vehicles have become more and more common, and have gradually displaced the status of diesel. It is essential for people to pay more attention to the safety of lithium batteries. To illustrate, a lithium-ion battery is prone to error under long-term charging or disch...
Shunpang Zeng· Applied and Computational En...· 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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