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A SoH diagnosis and prognosis method to identify and quantify degradation modes in Li-ion batteries using the IC/DV technique
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Pastor-Fernandez, Carlos, Widanage, Widanalage Dhammika, Chouchelamane, G. H. and Marco, James (2016) A SoH diagnosis and prognosis method to identify and quantify degradation modes in Li-ion batteries using the IC/DV technique. In: IET Hybrid Electric Vehicle Conference, London, UK, 2-3 Nov 2016
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Abstract
Accurate State of Health (SoH) diagnosis and prognosis of Lithium-ion batteries (LIBs) may become an important estimate for the Battery Management System (BMS) if it can be acted upon to de-rate the demands placed on the battery in order to reduce the rate of ageing and to extend battery life. The BMS often quantifies SoH based on capacity (SoHE) and power fade (SoHP) without diagnosing the root causes. In line with this, Incremental Capacity (IC) and Differential Voltage (DV) techniques are used to identify and quantify degradation modes as well as to estimate and to predict the SoHE. These techniques were applied to four parallelised LIBs loaded with a constant current profile for 500 cycles. Loss of active material and loss of lithium ions were identified to be the most relevant degradation modes for this experiment. Moreover, a linear relationship between the intensity of the peaks of the IC and DV curves were identified with respect to the SoHE. This result may enable the future estimation and prediction of SoHE in a simple way. Overall, the outcomes of this work may support novel strategies to control SoHE within the BMS, so that the rate of battery degradation can be reduced.
Item Type: | Conference Item (Paper) | ||||
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Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||
Library of Congress Subject Headings (LCSH): | Lithium ion batteries , Energy storage | ||||
Official Date: | 2 November 2016 | ||||
Dates: |
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Date of first compliant deposit: | 7 November 2016 | ||||
Date of first compliant Open Access: | 7 November 2016 | ||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||
Grant number: | EP/ I01585X/1 | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | IET Hybrid Electric Vehicle Conference | ||||
Type of Event: | Conference | ||||
Location of Event: | London, UK | ||||
Date(s) of Event: | 2-3 Nov 2016 | ||||
Related URLs: |
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