Control-Oriented Modeling of All-Solid-State Batteries Using Physics-Based Equivalent Circuits
Journal article, 2022

Considered as one of the ultimate energy storage technologies for electrified transportation, the emerging all-solid-state batteries (ASSBs) have attracted immense attention due to their superior thermal stability, increased power and energy densities, and prolonged cycle life. To achieve the expected high performance, practical applications of ASSBs require accurate and computationally efficient models for the design and implementation of many onboard management algorithms, so that the ASSB safety, health, and cycling performance can be optimized under a wide range of operating conditions. A control-oriented modeling framework is thus established in this work by systematically simplifying a rigorous partial differential equation (PDE) based model of the ASSBs developed from underlying electrochemical principles. Specifically, partial fraction expansion and moment matching are used to obtain ordinary differential equation based reduced-order models (ROMs). By expressing the models in a canonical circuit form, excellent properties for control design such as structural simplicity and full observability are revealed. Compared to the original PDE model, the developed ROMs have demonstrated high fidelity at significantly improved computational efficiency. Extensive comparisons have also been conducted to verify its superiority to the prevailing models due to the consideration of concentration-dependent diffusion and migration. Such ROMs can thus be used for advanced control design in future intelligent management systems of ASSBs.

All-solid-state battery

battery modeling

electrochemical model

model order reduction

moment matching


Yang Li

Chalmers, Electrical Engineering, Systems and control

Torsten Wik

Chalmers, Electrical Engineering, Systems and control

Changjun Xie

Wuhan University of Technology

Yicun Huang

Chalmers, Electrical Engineering, Systems and control

Binyu Xiong

Wuhan University of Technology

Jinrui Tang

Wuhan University of Technology

Changfu Zou

Chalmers, Electrical Engineering, Systems and control

IEEE Transactions on Transportation Electrification

2332-7782 (eISSN)

Vol. 8 2 2080-2092

Lithium-ion battery control for faster charging and longer life

European Commission (EC) (EC/H2020/895337), 2020-11-01 -- 2022-10-31.

Driving Forces

Sustainable development

Areas of Advance



Subject Categories

Other Engineering and Technologies not elsewhere specified

Probability Theory and Statistics

Control Engineering

Other Electrical Engineering, Electronic Engineering, Information Engineering



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