Crashworthiness-based multi-objective integrated optimization of electric vehicle chassis frame

• Autorzy: Wang Shuang , Wang Dengfeng

Identyfikatory

DOI

10.1007/s43452-021-00242-2

• Języki publikacji: EN

Abstrakty

EN

Chassis frame of electric vehicle contains several thin-walled tube structures that can provide an important component for installing the power unit and supporting the body in white of vehicle. Thus, design a chassis frame is a multi-objective optimization and multi-parameter problem. To address it, the contributions of design variables to the performance indicators of chassis frame are studied first, and obtained the optimal design variables. The effects of the design parameters on the objective responses are analyzed based on a polynomial response surface model. Moreover, to determine optimal solution between the conflicting performance indicators of the chassis frame, an integrated approach based on lightweight and crashworthiness is presented to analysis the performance and determine the Pareto fronts. In addition, the optimal solution is acquired from the Pareto fronts by the grey relational analysis and game theory. Experiments corresponding to the numerical analysis are performed to verify the feasibility of the optimized strategy and the performance of the optimized chassis frame structure. Results show that according to the optimal parameters of chassis frame, the lightweight performance can be improved significantly, while the linear performance and crashworthiness performance of chassis frame are ensured.

Słowa kluczowe

EN

chassis frame; variables screening; linear performance; lightweight and crashworthiness; multi-objective optimization

PL

rama podwozia; odporność na zderzenia; optymalizacja wielozadaniowa

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2021
• Tom: Vol. 21, no. 3
• Strony: 303--320
• Opis fizyczny: Bibliogr. 26 poz., fot., rys., wykr.

Twórcy

autor

Wang Shuang

• State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China

autor

Wang Dengfeng

• State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China

Bibliografia

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Uwagi

PL

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)