The DOI matches its Crossref record; the references it cites are not checked yet.
High-voltage battery management systems (BMS) for electric vehicles
Overview
Integrity signals
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“For instance, Hauser and Kuhn [87] present the requirements that a BMS should cover: (i) data acquisition, (ii) data processing and storage, (iii) electrical management, (iv) thermal management, (v) safety management, and (vi) communication.”
From A Review on Electric Vehicles: Technologies and Challenges (2021) · cites this paper as [87]
Citations
The citation lists haven’t been fetched yet
References 26 · Cited by 50
Research works printed but not linked: 2
- Douglass, 2009, Battery management architectures for hybrid/electric vehicles, Electronic Product Design
- Drafts, 1996, Methods of current measurement, Sensors—J. Appl. Sens. Technol., 13, 99
Metadata
- Authors
- Hauser, A., & Kuhn, R.
- Affiliations
- TUM CREATE (SG)
- Venue
- Advances in Battery Technologies for Electric Vehicles
- Publisher
- Elsevier
- Published
- 2015
- Pages
- 265-282
- OpenAlex
- W392032553
- Cited by
- 50
- References
- 26
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 10 · 2023: 6 · 2022: 5 · 2021: 5 · 2020: 8 · 2018: 2 · 2017: 1
- FWCI
- 2.77
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Elsevier eBooks (publishedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Battery Modeling and Management
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Keywords
- battery management systems, high-voltage batteries, lithium-ion batteries, electric vehicles, hybrid electric vehicles, battery energy storage, battery safety
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.
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