Review on Modeling and SOC/SOH Estimation of Batteries for Automotive Applications

Review on Modeling and SOC/SOH Estimation of Batteries for Automotive Applications

2024 | Pierpaolo Dini, Antonio Colicelli, Sergio Saponara
This review article provides an in-depth analysis of the state-of-the-art in SOC (State of Charge) and SOH (State of Health) estimation algorithms for lithium-ion batteries, which are crucial for optimizing battery management, maximizing lifespan, and ensuring safety. The authors discuss the importance of accurate SOC and SOH estimation in various applications, including automotive, consumer electronics, and renewable energy. They highlight the challenges and benefits of different estimation methods, such as coulomb counting, voltage method, Kalman filter, neural network algorithms, and hybrid algorithms. Each method is evaluated based on its advantages, limitations, and potential areas for improvement. The article also covers the modeling approaches, including empirical and equivalent circuit modeling, and discusses the integration of Warburg impedance in battery models. The main SOC/SOH estimation algorithms are reviewed, with a focus on their accuracy and practical applications. The review aims to provide a comprehensive overview of the current landscape and to identify future research directions in this critical field.This review article provides an in-depth analysis of the state-of-the-art in SOC (State of Charge) and SOH (State of Health) estimation algorithms for lithium-ion batteries, which are crucial for optimizing battery management, maximizing lifespan, and ensuring safety. The authors discuss the importance of accurate SOC and SOH estimation in various applications, including automotive, consumer electronics, and renewable energy. They highlight the challenges and benefits of different estimation methods, such as coulomb counting, voltage method, Kalman filter, neural network algorithms, and hybrid algorithms. Each method is evaluated based on its advantages, limitations, and potential areas for improvement. The article also covers the modeling approaches, including empirical and equivalent circuit modeling, and discusses the integration of Warburg impedance in battery models. The main SOC/SOH estimation algorithms are reviewed, with a focus on their accuracy and practical applications. The review aims to provide a comprehensive overview of the current landscape and to identify future research directions in this critical field.
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