Multiphysics simulation optimization framework for lithium-ion battery pack design for electric vehicle applications

نویسندگان

چکیده

Large-scale commercialization of electric vehicles (EVs) seeks to develop battery systems with higher energy efficiency and improved thermal performance. Integrating simulation-based design optimization in development process expands the possibilities for novel exploration. This study presents a dual-stage multiphysics simulation methodology comprehensive concept Lithium-ion (Li-ion) packs EV applications. At first stage, multi-objective electrochemical thermally coupled cells is performed using genetic algorithm considering specific maximum temperature as objectives. second performances each optimally designed cell are evaluated under pack operation account cell-to-pack interactions realistic working scenarios. When operating at 1.5 C discharge current, comprising which equally weighted delivers highest enhanced The most favorable shows 8% reduction 16.1% module-to-module variations compared commercially available pack. presented this work generic, providing valuable knowledge future designs that employ different chemistries configurations.

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ژورنال

عنوان ژورنال: Energy

سال: 2022

ISSN: ['1873-6785', '0360-5442']

DOI: https://doi.org/10.1016/j.energy.2021.122092