Better Batteries Through Electrochemistry
Author(s) -
Scott Moura,
Hector E. Perez
Publication year - 2014
Publication title -
mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.117
H-Index - 17
eISSN - 1943-5649
pISSN - 0025-6501
DOI - 10.1115/1.2014-jun-6
Subject(s) - battery (electricity) , state of health , state of charge , computer science , lithium ion battery , energy storage , electrochemical energy conversion , automotive engineering , control engineering , materials science , electrochemistry , nanotechnology , electrode , power (physics) , engineering , chemistry , physics , quantum mechanics
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.
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