Real-Time Electrochemical Model-Based BMS Control for Mitigating Li-Plating and Extending Battery Life

It is well-known that lithium plating significantly reduces the capacity of lithium-ion batteries, particularly at elevated charging rates, high SoC, and low temperatures. This study presents a simplified electrochemical battery model incorporating side reactions for real-time applications. The proposed model is implemented on a Battery Management System (BMS) using the TI TMS320F28335 DSP, the model’s internal and external states are validated through extensive experimental tests against the high-fidelity P2D model by Gamma Technology. The results demonstrated the model’s ability to accurately depict the behavior of a commercially available type 21700 cylindrical cell while minimizing execution power consumption. The lithium plating/stripping model is examined and compared to the actual voltage plateau characteristics observed in practical testing. Finally, various controllers are designed and implemented into the BMS to optimize the charging current and eliminate plating without significantly increasing charging duration. The battery demonstrated an increase in capacity of 8.3% when using the proposed charging control algorithm compared to the common CC-CV technique, with a charging time increase of less than 30 minutes, resulting in a 17% improvement in SoH. This demonstrates the effectiveness of enhancing battery performance and longevity with minimal additional charging time.

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Publication Details

Journal
IEEE Transactions on Transportation Electrification
Published
2025-01-09
DOI
https://doi.org/10.1109/tte.2025.3527899
Citations
14
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
9.56
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article

Real-Time Electrochemical Model-Based BMS Control for Mitigating Li-Plating and Extending Battery Life

Mariana Haddadin, Mahesh Krishnamurthy, Chengxiu Chen, Mohammad Qasem et al.
14 citations
IEEE Transactions on Transportation Electrification
Advanced Battery Technologies Research
9.56
article

Real-Time Electrochemical Model-Based BMS Control for Mitigating Li-Plating and Extending Battery Life

Mariana Haddadin, Mahesh Krishnamurthy, Chengxiu Chen, Mohammad Qasem, Sadam Ratrout, Yazan Yassin, Stoyan Stoyanov, Said Al‐Hallaj
article en
14 citations

Abstract

It is well-known that lithium plating significantly reduces the capacity of lithium-ion batteries, particularly at elevated charging rates, high SoC, and low temperatures. This study presents a simplified electrochemical battery model incorporating side reactions for real-time applications. The proposed model is implemented on a Battery Management System (BMS) using the TI TMS320F28335 DSP, the model’s internal and external states are validated through extensive experimental tests against the high-fidelity P2D model by Gamma Technology. The results demonstrated the model’s ability to accurately depict the behavior of a commercially available type 21700 cylindrical cell while minimizing execution power consumption. The lithium plating/stripping model is examined and compared to the actual voltage plateau characteristics observed in practical testing. Finally, various controllers are designed and implemented into the BMS to optimize the charging current and eliminate plating without significantly increasing charging duration. The battery demonstrated an increase in capacity of 8.3% when using the proposed charging control algorithm compared to the common CC-CV technique, with a charging time increase of less than 30 minutes, resulting in a 17% improvement in SoH. This demonstrates the effectiveness of enhancing battery performance and longevity with minimal additional charging time.

IEEE Transactions on Transportation ElectrificationVol. 11(3)
Southern Methodist University (US), Illinois Institute of Technology (US), Beam Engineering for Advanced Measurements (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 2%
Advanced Battery Technologies Research
9.56
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Real-Time Electrochemical Model-Based BMS Control for Mitigating Li-Plating and Extending Battery Life — Mariana Haddadin, Mahesh Krishnamurthy, et al. · IEEE Transactions on Transportation Electrification (2025) | TGRS Research Map | TGRS