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crossrefWorld Electric Vehicle Journal2024-03-25Cited by 79

A Review of Lithium-Ion Battery State of Charge Estimation Methods Based on Machine Learning

Feng Zhao, Yun Guo, Baoming Chen

With the advancement of machine-learning and deep-learning technologies, the estimation of the state of charge (SOC) of lithium-ion batteries is gradually shifting from traditional methodologies to a new generation of digital and AI-driven data-centric approaches. This paper provides a comprehensive review of the three main steps involved in various machine-learning-based SOC estimation methods. It delves into the aspects of data collection and preparation, model selection and training, as well as model evaluation and optimization, offering a thorough analysis, synthesis, and summary. The aim is to lower the research barrier for professionals in the field and contribute to the advancement of intelligent SOC estimation in the battery domain.

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crossrefWorld Electric Vehicle Journal2025-05-24Cited by 6

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crossrefWorld Electric Vehicle Journal2025-10-28Cited by 10

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crossrefWorld Electric Vehicle Journal2023-07-29Cited by 13

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Battery state of charge prediction is one of the most essential state quantities of a battery management system. It is a prerequisite for the operation of a battery management system, but it becomes difficult to make an exact prediction of its state due to its characteristics, wh…

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crossrefWorld Electric Vehicle Journal2024-02-18Cited by 3

A Machine-Learning-Based Approach to Analyse the Feature Importance and Predict the Electrode Mass Loading of a Solid-State Battery

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Solid-state batteries are currently developing into one of the most promising battery types for both the electrification of transport and for energy storage applications due to their high energy density and safe operating behaviour. The performance of solid-state batteries is lar…

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crossrefWorld Electric Vehicle Journal2025-02-16Cited by 20

Data-Driven Modeling of Electric Vehicle Charging Sessions Based on Machine Learning Techniques

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The increased demand for electricity is inevitable due to transport sector electrification. A major part of this demand is from electric vehicle (EV) charging on a large scale, which is now a growing concern for the grid power distribution system. The lack of insight into grid en…

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