Battery Degradation: Behavior, Mechanisms, Modeling, Estimation, and Optimization Strategies

Dear Colleagues,

Battery degradation is a core challenge limiting the reliability, safety, and service lifecycle of energy storage systems, which are pivotal for electric vehicles, renewable energy integration, and portable electronics. This Special Issue focuses on the multi-dimensional aspects of battery degradation, encompassing intrinsic aging mechanisms, advanced modeling approaches, precise state estimation techniques, and effective optimization strategies. It aims to bridge fundamental research and practical applications, featuring innovative studies on degradation behavior under diverse operating conditions, data-driven and physics-based modeling methods, high-accuracy state-of-health (SOH), state-of-charge (SOC), and remaining useful life (RUL) estimation, and lifecycle extension strategies.

Potential topics include, but are not limited to, the following:

• Fundamental degradation mechanisms of advanced battery materials and cells.
• Advanced degradation modeling: physics-based, data-driven, and hybrid models.
• Precise estimation of SOH, SOC, and RUL under dynamic operating conditions.
• Degradation behavior and mitigation strategies in extreme scenarios.
• Optimization of battery management systems (BMS) for degradation mitigation and lifecycle extension.
• Novel sensing technologies and non-destructive testing methods for in situ/real-time degradation monitoring.
• Degradation characteristics and management of emerging battery technologies.
• Case studies on battery degradation in practical applications.

Dr. Yujuan Sun
Prof. Dr. Caiping Zhang
Guest Editors

Manuscript Submission Information

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