Structural Lattice Topology and Material Optimization for Battery Protection in Electric Vehicles Subjected to Ground Impact Using Artificial Neural Networks and Genetic Algorithms

Structural Lattice Topology and Material Optimization for Battery Protection in Electric Vehicles Subjected to Ground Impact Using Artificial Neural Networks and Genetic Algorithms

A critical external interference that often appears to pose a safety issue in rechargeable energy storage systems (RESS) for electric vehicles (EV) is ground impact due to stone impingement. This study aims to propose the new concept of the sandwich for structural battery protection using a lattice...

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Bibliographic Details
Main Authors: Alvian Iqbal Hanif Nasrullah, Sigit Puji Santosa, Djarot Widagdo, Faizal Arifurrahman
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Materials
Subjects:
crashworthiness
twisted-octet lattice
topology optimization
genetic algorithm
neural network
battery
Online Access:https://www.mdpi.com/1996-1944/14/24/7618

Internet

https://www.mdpi.com/1996-1944/14/24/7618

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