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VxG Pattern-Based Analysis and Battery Deterioration Diagnosis

New and Renewable Energy Laboratory, KEPCO Research Institute, Korea Electric Power Corporation, 105 Munji-ro Yuseong-gu, Daejeon 34056, Korea
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Academic Editor: Gianfranco Chicco
Energies 2021, 14(17), 5422; https://doi.org/10.3390/en14175422
Received: 29 July 2021 / Revised: 14 August 2021 / Accepted: 27 August 2021 / Published: 31 August 2021
This paper presents the results of an analysis using the direct current internal resistance (DCIR) method on a nickel-cobalt-manganese oxide (NCM)-based battery with a nominal capacity of 55.6 Ah. The accelerated degradation test was performed on V0G, V1G, and V2G patterns, representing existing simple power supply, smart charging control, and bi-directional charge/discharge control, respectively. We assumed V0G, V1G, and V2G patterns and conducted charging and discharging experiments according to the set conditions. According to the pattern repetition, changes in the internal resistance of DCIR and AC-impedance were analyzed and battery deterioration was diagnosed. By comparing DCIR and AC-impedance, we confirmed that the changes in internal resistance has a similar trend. In particular, we propose a new DCIR analysis method in the “stop-operation” part rather than the traditional DCIR method. In the case of traditional DCIR method, time is required for the battery to stabilize. However, the newly proposed DCIR analysis method has the advantage of diagnosing the deterioration of the battery during system operation by analyzing the internal resistance without the stabilization time of the battery. View Full-Text
Keywords: energy storage system (ESS); electric vehicle (EV); V2G; galvanostatic intermittent titration technique (GITT); direct current internal resistance (DCIR) energy storage system (ESS); electric vehicle (EV); V2G; galvanostatic intermittent titration technique (GITT); direct current internal resistance (DCIR)
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MDPI and ACS Style

Lim, J.; Lee, S.-E.; Park, K.-Y.; Kim, H.-S.; Choi, J.-H. VxG Pattern-Based Analysis and Battery Deterioration Diagnosis. Energies 2021, 14, 5422. https://doi.org/10.3390/en14175422

AMA Style

Lim J, Lee S-E, Park K-Y, Kim H-S, Choi J-H. VxG Pattern-Based Analysis and Battery Deterioration Diagnosis. Energies. 2021; 14(17):5422. https://doi.org/10.3390/en14175422

Chicago/Turabian Style

Lim, Jungho, Sung-Eun Lee, Kwang-Yong Park, Hee-Soo Kim, and Jin-Hyeok Choi. 2021. "VxG Pattern-Based Analysis and Battery Deterioration Diagnosis" Energies 14, no. 17: 5422. https://doi.org/10.3390/en14175422

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