This article introduces key concepts in Electrochemical-based Control (ECC) systems for batteries, and highlights the fundamentals of battery electrochemistry, state-of-charge/state-of-health (SOC/SOH) estimation, and constrained control. Research on battery SOC/SOH estimation has experienced considerable growth, and can be categorized under equivalent circuit models (ECM) or EChem model-based algorithms. EChem models capture the spatiotemporal dynamics of lithium-ion concentration, electric potential, and intercalation kinetics. The most fundamental reduced EChem model is the single-particle model (SPM). The SPM idealizes each electrode as a single aggregate spherical particle. Advanced control systems that optimize battery performance and longevity are a key enabler for reducing costs and catalyzing deeper penetration into transportation fleets and electric power grids. The dynamic systems and control community are uniquely positioned to play a significant role, as batteries provide a rich opportunity for advancements in fundamental control science and emerging energy application areas.
Abstract:
Publication date:
June 1, 2014
Publication type:
Journal Article
Citation:
Moura, S. J., & Perez, H. E. (2014). Better Batteries Through Electrochemistry. Mechanical Engineering, 136(06), S15–S21. https://doi.org/10.1115/1.2014-Jun-6