Evidence map›Paper›PMID 42513722›Full record

ReviewMaterials (Basel, Switzerland)2026

Cellular Structures for Electric Vehicle Battery Systems: A Critical Review and Design Guidelines.

Alessandra Ceci, Girolamo Costanza, Maria Elisa Tata

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alessandra CeciDepartment of Industrial Engineering, University of Rome "Tor Vergata", Via del Politecnico 1, 00133 Rome, Italy.ORCID 0009-0009-5644-6814
Girolamo CostanzaDepartment of Industrial Engineering, University of Rome "Tor Vergata", Via del Politecnico 1, 00133 Rome, Italy.ORCID 0000-0001-7463-1647
Maria Elisa TataDepartment of Industrial Engineering, University of Rome "Tor Vergata", Via del Politecnico 1, 00133 Rome, Italy.ORCID 0000-0003-4111-9991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Architected cellular materials are increasingly proposed for electric-vehicle (EV) battery systems as lightweight solutions that can combine crashworthiness, intrusion mitigation and, in some cases, thermal functionality. However, the literature remains fragmented across heterogeneous architectures, metrics and test conditions, which often prevents design-oriented comparison and limits transferability to pack-level implementation. This review consolidates the state of the art on cellular structures for EV battery applications, covering foams, honeycombs, lattice/TPMS architectures and auxetic or bio-inspired concepts. A unified, design-oriented comparative framework is introduced to discuss mechanical performance (e.g., specific energy absorption, peak crushing force, deformation control), thermal considerations and manufacturing-scalability constraints under an EV battery-pack perspective. By explicitly linking cellular architecture selection to pack safety and integration requirements, including limited crush space, joining interfaces, enclosure stiffness and emerging "pack-as-a-structure" concepts, this work translates dispersed results into actionable engineering insights. Finally, decision-oriented guidelines and a selection flowchart are proposed to support early-stage architecture choice and highlight the most critical research gaps, particularly in multiphysics validation, standardized benchmarking and production-ready integration.

Indexed as

auxeticbattery pack protectioncellular structurescrashworthinesselectric vehicleenergy absorptionfoamhoneycomblatticeTPMS

Identifiers

PMID42513722
PMCPMC13413375

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.