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A Generic Cycle Life Model for Lithium-Ion Batteries Based on Fatigue Theory and Equivalent Cycle Counting
IEEE Open Journal of the Industrial Electronics Society Pub Date : 2020-08-10 , DOI: 10.1109/ojies.2020.3015396
Souleman N. Motapon , Enric Lachance , Louis-A. Dessaint , Kamal Al-Haddad

This paper proposes a cycle life model for lithium-ion batteries. The main objective of this work is to facilitate the electrical simulation of lithium-ion battery aging (due to cycling), and its impact on battery capacity and internal resistance. Most of the reported cycle life models are either: a) physics based, with parameters difficult to retrieve or b) semi-empirical, where the parameter identification process requires large amount of experimental data, huge manpower and test duration lasting from months to years. Moreover, these models tend to be valid only for the underlying battery and not for other battery types. This makes the simulation of lithium-ion batteries cycling effects, difficult to achieve, expensive and time consuming. The model proposed in this paper is based on simple physical equations from fatigue theory and equivalent cycle counting. The parameter identification process is straightforward and requires only few data from battery datasheets and limited (or short duration) cycling experiments. The proposed model is generic and able to represent the impact of common cycle life factors such as: depth-of-discharge (DoD), temperature and C-rate. The model is validated using two lithium-ion battery types (LFP-LiFePO $_{4}$ and NMC-LiNiMnCoO $_{2}$ ) and simulation results are close to reality with an error within $\pm$ 1.5% compared to experimental results.

中文翻译:

基于疲劳理论和等效循环计数的锂离子电池通用循环寿命模型

本文提出了锂离子电池的循环寿命模型。这项工作的主要目的是促进锂离子电池老化(由于循环)及其对电池容量和内阻的影响的电模拟。报告的大多数循环寿命模型是:a)基于物理,参数难以检索,或b)半经验的,其中参数识别过程需要大量的实验数据,巨大的人力和持续数月至数年的测试时间。此外,这些模型往往仅对基础电池有效,而对其他电池类型无效。这使得模拟锂离子电池的循环效应难以实现,昂贵且耗时。本文提出的模型基于疲劳理论和等效循环计数的简单物理方程式。参数识别过程非常简单,仅需要电池数据表中的少量数据以及有限的(或持续时间较短)的循环实验。所提出的模型是通用的,能够代表常见的循环寿命因素的影响,例如:放电深度(DoD),温度和C速率。使用两种锂离子电池类型(LFP-LiFePO $ _ {4} $ 和NMC-LiNiMnCoO $ _ {2} $ ),仿真结果接近实际,误差在 $ \ pm $ 与实验结果相比为1.5%。
更新日期:2020-09-01
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