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- W4302027407 abstract "A battery tray for electric vehicles is fundamentally a multi-objective design optimization problem. Obtaining trade-off solutions between conflicting functional objectives can be computationally expensive when high-fidelity dynamic Finite Element Analysis (FEA) simulations are used for performance evaluations. Sometimes it is even difficult to obtain any feasible solution. In this work, battery tray design exploration is performed using data-driven surrogates and multi-objective genetic algorithm (MOGA) to obtain the best structural performances while keeping the cost low. Finally, a design is accepted that is slightly heavy than the baseline design but beats the market in cost while meeting all other functional requirements." @default.
- W4302027407 created "2022-10-06" @default.
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- W4302027407 date "2022-10-06" @default.
- W4302027407 modified "2023-09-28" @default.
- W4302027407 title "Multi-objective Design Optimization of EV Battery Tray" @default.
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- W4302027407 doi "https://doi.org/10.1007/978-981-19-4606-6_75" @default.
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