{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T01:53:53Z","timestamp":1776390833169,"version":"3.51.2"},"reference-count":195,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T00:00:00Z","timestamp":1757030400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computation"],"abstract":"<jats:p>The rapid shift toward electric vehicles (EVs) has underscored the critical importance of battery pack crashworthiness, creating a demand for lightweight, energy-absorbing protective systems. This review systematically explores bio-inspired cellular structures as promising solutions for improving the impact resistance of EV battery packs. Inspired by natural geometries, these designs exhibit superior energy absorption, controlled deformation behavior, and high structural efficiency compared to conventional configurations. A comprehensive analysis of experimental, numerical, and theoretical studies published up to mid-2025 was conducted, with emphasis on design strategies, optimization techniques, and performance under diverse loading conditions. Findings show that auxetic, honeycomb, and hierarchical multi-cell architectures can markedly enhance specific energy absorption and deformation control, with improvements often exceeding 100% over traditional structures. Finite element analyses highlight their ability to achieve controlled deformation and efficient energy dissipation, while optimization strategies, including machine learning, genetic algorithms, and multi-objective approaches, enable effective trade-offs between energy absorption, weight reduction, and manufacturability. Persistent challenges remain in structural optimization, overreliance on numerical simulations with limited experimental validation, and narrow focus on a few bio-inspired geometries and thermo-electro-mechanical coupling, for which engineering solutions are proposed. The review concludes with future research directions focused on geometric optimization, multi-physics modeling, and industrial integration strategies. Collectively, this work provides a comprehensive framework for advancing next-generation crashworthy battery pack designs that integrate safety, performance, and sustainability in electric mobility.<\/jats:p>","DOI":"10.3390\/computation13090217","type":"journal-article","created":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T14:53:01Z","timestamp":1757083981000},"page":"217","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Review on the Crashworthiness of Bio-Inspired Cellular Structures for Electric Vehicle Battery Pack Protection"],"prefix":"10.3390","volume":"13","author":[{"given":"Tamana","family":"Dabasa","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Addis Ababa Science and Technology University, Addis Ababa P.O. Box 16417, Ethiopia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9588-4707","authenticated-orcid":false,"given":"Hirpa G.","family":"Lemu","sequence":"additional","affiliation":[{"name":"Faculty of Science and Technology, University of Stavanger, 4036 Stavanger, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5993-5706","authenticated-orcid":false,"given":"Yohannes","family":"Regassa","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Addis Ababa Science and Technology University, Addis Ababa P.O. Box 16417, Ethiopia"}]}],"member":"1968","published-online":{"date-parts":[[2025,9,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Mawuntu, N.N., Mu, B.Q., Doukhi, O., and Lee, D.J. (2023). Modeling of the Battery Pack and Battery Management System towards an Integrated Electric Vehicle Application. 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