Abstract
The inevitable battery ageing is a bottleneck that hinders the advancement of battery-based energy storage systems. Developing a feasible health assessment strategy for battery pack is important but challenging due to the joint requirements of the computational burden, modeling cost, estimation accuracy, and battery equalization. This article proposes a balancing current ratio (BCR) based solution to achieve reliable state-of-health (SoH) estimations of all series-connected cells within a pack while significantly reduce the overall reliance on cell-level battery models. Specifically, after employing BCR to describe the properties of the balancing process, the voltage-based active balancing is combined into the SoH estimator design for the first time, leading to a weighted fusion strategy to effectively estimate SoHs of all cells within a pack. Hardware-in-the-loop experiments show that even if a parameter-fixed open-circuit-voltage-resistance model is used for modeling, the typical estimation error of our proposed solution can still be bounded by only 1.5%, which is 70% lower than that of the benchmarking algorithms. Due to the model-free nature of the integrated voltage-based balancing, the robustness and flexibility of the proposed pack SoH estimation solution are also significantly improved.
Original language | English |
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Pages (from-to) | 8055-8065 |
Number of pages | 11 |
Journal | IEEE Transactions on Industrial Electronics |
Volume | 69 |
Issue number | 8 |
Early online date | 3 Sept 2021 |
DOIs | |
Publication status | Published - Aug 2022 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 1982-2012 IEEE.
Keywords
- Balancing current ratio (BCR)
- electric vehicle
- lithium-ion battery pack
- state-of-health (SoH) estimation