Journal
JOURNAL OF ENERGY STORAGE
Volume 54, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.est.2022.105303
Keywords
Batteries; Lithium-ion; Impedance; Galvanostatic intermittent titration technique; Pulse test; Electrochemical impedance spectroscopy; Equivalent circuit model
Categories
Funding
- Canada Research Chairs Program [950-230672]
- Mitacs Accelerate Program [IT30373]
- Natural Sciences and Engineering Research Council of Canada [RDCJP 490763, RGPIN-2017-05924]
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This work presents a parameter identification method using GITT to create high resolution lookup tables and response surfaces for ECM. The method proposes improvements such as open-circuit voltage change compensation and ohmic resistance correction, leading to better accuracy. An iterative parameter identification algorithm is introduced for higher order ECM. The method has been applied to identify parameters of 1RC and 2RC ECM and has shown higher fidelity compared to previous pulse identification methods. The results of experiments on Nickel-Manganese-Cobalt cathode lithium-ion cells demonstrate the high accuracy of the proposed method.
When modelling lithium-ion batteries thorough identification of parameters across the entire operation domain is necessary to capture non-linear variations of properties caused by temperature or state of charge. This work presents a parameter identification method using galvanostatic intermittent titration technique (GITT) to create high resolution look-up tables and response surfaces for equivalent circuit models (ECM). Significant improvements are proposed over other parameter estimation method, such as HPPC. These improvements are opencircuit voltage change compensation, and ohmic resistance correction, which yield to better overall accuracy of the model. An iterative parameter identification algorithm (IPIA) is introduced to increase the robustness of the non-linear least square curve fitting for higher orders ECM. The method is applied to identify the parameters of 1RC and a 2RC ECM. The use of GITT in conjunction with IPIA has allowed greater fidelity of model response surfaces than previously published pulse identification methods. Experiments were conducted on NickelManganese-Cobalt cathode lithium-ion cells. The methodology presented in this paper is intended to be applicable to any lithium-ion battery format or chemistry with minor adjustments.
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