State of charge estimation for lithium-ion pouch batteries based on stress measurement
State of charge (SOC) estimation is one of the important tasks of battery management system (BMS). Being different from other researches, a novel method of SOC estimation for pouch lithium-ion battery cells based on stress measurement is proposed. With a comprehensive experimental study, we find tha...
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Published in | Energy (Oxford) Vol. 129; pp. 16 - 27 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Elsevier Ltd
15.06.2017
Elsevier BV |
Subjects | |
Online Access | Get full text |
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Summary: | State of charge (SOC) estimation is one of the important tasks of battery management system (BMS). Being different from other researches, a novel method of SOC estimation for pouch lithium-ion battery cells based on stress measurement is proposed. With a comprehensive experimental study, we find that, the stress of the battery during charge/discharge is composed of the static stress and the dynamic stress. The static stress, which is the measured stress in equilibrium state, corresponds to SOC, this phenomenon facilitates the design of our stress-based SOC estimation. The dynamic stress, on the other hand, is influenced by multiple factors including charge accumulation or depletion, current and historical operation, thus a multiple regression model of the dynamic stress is established. Based on the relationship between static stress and SOC, as well as the dynamic stress modeling, the SOC estimation method is founded. Experimental results show that the stress-based method performs well with a good accuracy, and this method offers a novel perspective for SOC estimation.
•A State of Charge estimator based on stress measurement is proposed.•The stress during charge and discharge is investigated with comprehensive experiments.•Effects of SOC, current, and operation history on battery stress are well studied.•A multiple regression model of the dynamic stress is established. |
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ISSN: | 0360-5442 1873-6785 |
DOI: | 10.1016/j.energy.2017.04.099 |