Abstract
The lithium-ion concentration of a solid phase is essential to solve the electrochemical model of a lithium-ion battery. Based on the analytic solution of a convolution infinite series, a new algorithm is proposed to efficiently and accurately solve the partial differential equation for the lithium-ion diffusion behavior of electrode particles. Under galvanostatic profiles, the analytic solution is an infinite time series transformed into a converged sum function by using the monotone convergence theorem. Under dynamic profiles, the infinite series solution is simplified to a finite discrete convolution of both the input and the sum function. Meanwhile, the discrete step is determined by the amplitude-frequency characteristic curve, and the sum function is truncated by its characteristic monotonic decay approaching zero over time. Compared with using a professional finite element analysis software, it takes less time to use this discrete convolution algorithm, and it yields less error. And, it has the least solution time with medium accuracy in comparison with two commonly used approximations. Not only that, the proposed algorithm has only two parameters to be determined with little computation, thus promoting the electrochemical models built in battery management systems.
| Original language | English |
|---|---|
| Article number | 139391 |
| Journal | Electrochimica Acta |
| Volume | 399 |
| DOIs | |
| Publication status | Published - 10 Dec 2021 |
Keywords
- 66.30.-h
- 75.40.Mg
- 82.47.Aa
- 82.80.Fk
- Discrete convolution
- Electrochemical model
- Lithium-ion battery
- Solid phase diffusion
- Sum function
