Multi-objective optimization of PCM-fin structure for staggered Li-ion battery packs

• Autorzy: Qiu Chenghui , Wu Chongtian , Yuan Xiaolu , Wu Linxu , Yang Jiaming , Shi Hong

Identyfikatory

DOI

10.24425/bpasts.2023.145677

• Języki publikacji: EN

Abstrakty

EN

Endurance capability is a key indicator to evaluate the performance of electric vehicles. Improving the energy density of battery packs in a limited space while ensuring the safety of the vehicle is one of the currently used technological solutions. Accordingly, a small space and high energy density battery arrangement scheme is proposed in this paper. The comprehensive performance of two battery packs based on the same volume and different space arrangements is compared. Further, based on the same thermal management system (PCM-fin system), the thermal performance of staggered battery packs with high energy density is numerically simulated with different fin structures, and the optimal fin structure parameters for staggered battery packs at a 3C discharge rate are determined using the entropy weight-TOPSIS method. The result reveals that increasing the contact thickness between the fin and the battery (X) can reduce the maximum temperature, but weaken temperature homogeneity. Moreover, the change of fin width (A) has no significant effect on the heat dissipation performance of the battery pack. Entropy weight-TOPSIS method objectively assigns weights to both maximum temperature (Tmax) and temperature difference (DT) and determines the optimal solution for the cooling system fin parameters. It is found that when X = 0:67 mm, A = 0:6 mm, the staggered battery pack holds the best comprehensive performance.

Słowa kluczowe

EN

staggered arrangement; phase change material; fin; multi-objective optimization; thermal management; entropy weight; TOPSIS method; technique for order of preference by similarity to ideal solution

PL

układ naprzemienny; materiał o przemianie fazowej; materiał zmieniający fazę; płetwa; optymalizacja wielocelowa; optymalizacja wieloobiektowa; zarządzanie ciepłem; entropia wagi; metoda TOPSIS; technika porządkowania preferencji według podobieństwa do idealnego rozwiązania

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2023
• Tom: Vol. 71, nr 4
• Strony: art. no. e145677
• Opis fizyczny: Bibliogr. 34 poz., rys., tab.

Twórcy

autor

Qiu Chenghui

• College of Energy & Power Engineering, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212003, P.R. China

autor

Wu Chongtian

• College of Energy & Power Engineering, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212003, P.R. China

autor

Yuan Xiaolu

• College of Energy & Power Engineering, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212003, P.R. China

autor

Wu Linxu

• College of Energy & Power Engineering, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212003, P.R. China

autor

Yang Jiaming

• College of Energy & Power Engineering, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212003, P.R. China

autor

Shi Hong

• College of Energy & Power Engineering, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212003, P.R. China

• https://orcid.org/0000-0002-3694-7496

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).