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Heat dissipation optimization for a serpentine liquid cooling battery thermal management system: An application of surrogate assisted approach
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“The use of echelon utilization is expanding globally as industries and academic institutions are actively researching to develop cutting-edge technologies for commercialization [75].”
From Electric Vehicle Battery Supply Chain and Critical Materials: A Brief Survey of State of the Art (2023) · cites this paper as [75]
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Metadata
- Authors
- Wang, N., Li, C., Li, W., Chen, X., Li, Y., & Qi, D.
- Affiliations
- Chongqing University (CN)
- Southwest University (CN)
- Corresponding author
- Li, Congbo
- Venue
- Journal of Energy Storage
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 40
- Pages
- 102771
- ISSN
- 2352-152X (ISSN-L)
- OpenAlex
- W3166117345
- Cited by
- 183
- References
- 40
- Citations by year
- 2026: 38 · 2025: 38 · 2024: 43 · 2023: 45 · 2022: 18 · 2021: 1
- FWCI
- 8.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Energy Storage (publishedVersion)
- Funders
- National Science Foundation Division of Social and Economic Sciences (KJCXZD2020013)
- China Postdoctoral Science Foundation (2020M683237, XmT2020115)
- National Natural Science Foundation of China (51905448)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Battery Modeling and Management
- Physical Sciences › Engineering › Mechanical Engineering › Heat Transfer and Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Keywords
- battery thermal management system, liquid cooling, lithium-ion batteries, electric vehicles, heat dissipation, surrogate-based optimization, multi-objective genetic algorithm, temperature uniformity, pumping power reduction, water velocity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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