Experimental analysis and modeling of temperature dependence of lithium-ion battery direct current resistance for power capability prediction

Publication Type:
Conference Proceeding
Citation:
2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017, 2017
Issue Date:
2017-10-02
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© 2017 IEEE. Accurate lithium-ion battery power capability prediction gives an indication for managing power flows in or out of batteries within the safe operating area, which is one of the primary challenging functions of battery management systems (BMSs). The battery direct current resistance (DCR) is typically employed for power capability prediction, but its characteristic depends significantly on the ambient temperature. It is essential to investigate systematically the temperature dependence of battery DCR for achieving reliable power capability prediction. Based on a large amount of battery test data, a battery DCR model is proposed for quantitatively describing its temperature dependence. This model is then applied for battery power capability prediction, and the results are verified by experimental results.
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