Abstract

Estimation of lithium-ion battery durability by modeling that simulates performance degradation is an important technology during the initial phase of development of electrified products. For this study, a low-cost, highly efficient technique for creating a model was investigated by applying the orthogonal array used in quality engineering to the process of creating a performance degradation prediction model. As a result, it was found that for the storage durability test, it was productive to apply an experimental design that uses an L16 orthogonal array, whereas for the cycle durability test, it was productive to apply an experimental design that uses an L27 orthogonal array. It was also found that by fitting to the test results, when the storage degradation coefficient is modeled by expressing it with the state of charge and temperature in a quadratic linear equation together with an interaction term, and the cycle degradation coefficient is modeled by expressing it with the state of charge, window of operating state of charge, temperature, charge current, and discharge current in a first-order linear equation, then it was possible to simulate the results of accelerated durability testing highly accurately with a deviation of 1.3%. The method of modeling discussed in this paper reduced the amount of testing necessary in the conventional, factorial experiment method by 58% while realizing an equivalent level of accuracy, confirming that enhancement of experiment efficiency can be expected.

References

1. (1) New Energy and Industrial Technology Development Organization: Battery Road Map 2013, (2013) (in Japanese)
2. (2) Fuji Keizai Group Co., Ltd.: Enerugi, ogata nijidenchi, zairyo no shorai tenbo 2021 -Dendo jidosha, shasaidenchi bunya hen-, (2021) (in Japanese)
3. (3) Ministry of Economy, Trade and Industry: Dai 1 kai Chikudenchi sangyo senryaku kento kanmin kyogikai, Shiryo 3 Chikudenchi sangyo no genjo to kadai ni tsuite, (2021) (in Japanese)
4. (4) Dunn, B., Kamath, H., Tarascon, J.-M.: Electrical energy storage for the grid: a battery of choices, Science, Vol. 334, Issue 6058, p. 928-935, (2011)
5. (5) Schmuch, R., Wagner, R., Hörpel, G., Placke, T., Winter, M.: Performance and cost of materials for lithium-based rechargeable automotive batteries, Nat. Energy, Vol. 3, Issue 4, p. 267-278, (2018)
6. (6) Waag, W., Fleischer, C., Sauer, D. U.: Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles, J. Power Sources, Vol. 258, p. 321-339, (2014)
7. (7) LoGrasso, J.: Meeting Customer Expectations: Life and Safety of Batteries in Hybrid & Electric Vehicles, Advanced Automotive Battery Conference, p. 2-5, (2011)
8. (8) Kaga, T., Arai, H., Hori, M., Tominaga, Y.: Degradation model for battery performance based on electric performance mechanism, The 61st Battery Symposium in Japan, 3A01, (2020) (in Japanese)
9. (9) Tominaga, Y.: Degradation Model for Battery Performance Based on Performance Mechanism, Denki Kagaku, Vol. 89, No. 2, p. 125-132, (2021) (in Japanese)
10. (10) Tao, Y., Yamate, S., Ozaki, T., Inamasu, T., Yoshida, H., Okuyama, R.: Growth Process of SEI Film on Graphite Negative Electrode for Lithium-ion Secondary Battery, GS Yuasa Technical Report, Vol. 10, No. 2, p. 8-15, (2013) (in Japanese)

Author (organization or company)

• Kaoru OMICHI
• Tadashi KAGA（Innovative Research Excellence Power Unit & Energy）
• Takumi NISHIMURA（Innovative Research Excellence Power Unit & Energy）
• Naoya AIDA（Innovative Research Excellence Power Unit & Energy）
• Yuki TOMINAGA（Innovative Research Excellence Power Unit & Energy）

Publication Information

Article of Honda R&D Technical Review Vol.35 (32 - 38)

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