Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
Integrity signals
Registry
Cites
Statistics
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?
Approaches using algorithms and parametrised models can combine available data and retrieve usable values for SOC estimation.
“there are approaches using algorithms and parametrised models to combine the available data and retrieve usable values [12]”
From Battery Management System Hardware Concepts: An Overview (2018) · cites this paper as [12]
Many academic battery models are based on laboratory data that do not account for real-world factors such as environmental conditions.
“However, many models developed in academia are based on laboratory data that do not account for real-world factors such as environmental conditions [735,819,854].”
From Tackling climate change with machine learning (2023) · cites this paper as [819]
Work in battery ML has focused on predicting battery state, degradation, and remaining lifetime using supervised learning, fuzzy logic, and clustering.
“Work in this area has focused on predicting battery state, degradation, and remaining lifetime using supervised learning techniques, fuzzy logic, and clustering [42,104,218,358,414,725,735,819,854].”
From Tackling climate change with machine learning (2023) · cites this paper as [819]
The citation lists haven’t been fetched yet
References 244 · Cited by 1,059
- Authors
- Waag, W., Fleischer, C., & Sauer, D. U.
- Affiliations
- Jülich Aachen Research Alliance (DE)
- Corresponding author
- Waag, Wladislaw
- Venue
- Journal of Power Sources
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 258
- Pages
- 321-339
- ISSN
- 0378-7753 (ISSN-L)
- OpenAlex
- W2060558956
- Cited by
- 1,059
- References
- 244
- Citations by year
- 2026: 83 · 2025: 62 · 2024: 75 · 2023: 89 · 2022: 86 · 2021: 118 · 2020: 107 · 2019: 98 · 2018: 105 · 2017: 89 · 2016: 60 · 2015: 69 · 2014: 18
- FWCI
- 96.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Power Sources (publishedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Keywords
- lithium-ion batteries, battery monitoring, battery management systems, electric vehicles, hybrid electric vehicles, state of charge estimation, battery capacity estimation, battery impedance, health status (engineering condition monitoring), remaining useful life, online monitoring
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 ›
Are you an author, or do you see a problem with this page? Request a review
