A PDE Model Simplification Framework for All-Solid-State Batteries
Paper in proceeding, 2022

All-solid-state batteries (ASSBs) have attracted immense attention due to their superior thermal stability, improved power and energy densities, and prolonged cycle life. Their practical applications require accurate and computationally efficient models for the design and implementation of many onboard management algorithms, so that the safety, health, and cycling performance of ASSBs 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 partial differential equation (PDE) based model of the ASSBs developed from underlying electrochemical principles. Compared to the original PDE model, the reduced-order models obtained with the proposed framework demonstrates high fidelity at significantly improved computational efficiency.


Yang Li

Chalmers, Electrical Engineering, Systems and control

Torsten Wik

Chalmers, Electrical Engineering, Systems and control

Yicun Huang

Chalmers, Electrical Engineering, Systems and control

Changfu Zou

Chalmers, Electrical Engineering, Systems and control

American Control Conference

0743-1619 (ISSN)

Vol. 2022-June 1775-1781
9781665451963 (ISBN)

2022 American Control Conference, ACC 2022
Atlanta, USA,

Lithium-ion battery control for faster charging and longer life

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

Subject Categories

Computational Mathematics

Control Engineering

Computer Systems



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