The DOI matches its Crossref record; 227 of the 227 references it cites were found in a registry or an index.
Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement
Abstract
Abstract Lithium-ion batteries (LIBs) has seen widespread applications in a variety of fields like the renewable penetration, electrified transportation, and portable electronics. A reliable battery management system (BMS) is critical to fulfill the expectations on the reliability, efficiency and longevity of LIB systems. Recent research progresses have witnessed the emerging technique of smart battery and the associated management system, which can potentially overcome the deficiencies met by traditional BMSs. Motivated by this, this paper reviews the research progresses on the smart cell and smart battery system from multiple aspects, including the system design, sensing techniques, and the potential innovation of system integration. The transition from conventional LIB system towards higher smartness and the incurred advantages/challenges are overviewed. Special focuses are given to the existing and emerging cell-level, multi-dimensional (electro-mechanical-thermal) sensing techniques that may play critical roles in the management of smart cells. The mitigation from external to internal embedded sensing and its potential benefits/impacts to the performance of battery system, as well as the general requirement for sensor design and integration, are discussed systematically. Considering the design innovation and data transmission burden, the potential change of system-level smart battery integration is further discussed as an open outlook.
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Cites
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IoB: Internet-of-batteries for electric Vehicles–Architectures, opportunities, and challenges
Li, H., Bin Kaleem, M., Liu, Z., Wu, Y., Liu, W., & Huang, Z. (2023) · Green Energy and Intelligent Transportation · doi:10.1016/j.geits.2023.100128 · Cited by 95
Li, A. G., West, A. C., & Preindl, M. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.119030 · Cited by 93
Jiang, B., Tao, S., Wang, X., Zhu, J., Wei, X., & Dai, H. (2023) · Energy · doi:10.1016/j.energy.2023.127890 · Cited by 70
Battery State of Health Estimate Strategies: From Data Analysis to End-Cloud Collaborative Framework
Yang, K., Zhang, L., Zhang, Z., Yu, H., Wang, W., Ouyang, M., Zhang, C., Sun, Q., Yan, X., Yang, S., et al. (2023) · Batteries · doi:10.3390/batteries9070351 · Cited by 58
Metadata
- Authors
- Wei, Z., Zhao, J., He, H., Ding, G., Cui, H., & Liu, L.
- Venue
- Journal of Power Sources
- Publisher
- Elsevier BV
- Published
- 2021-03
- Volume
- 489
- Pages
- 229462
- ISSN
- 0378-7753 (ISSN-L)
- OpenAlex
- W3121588127
- Cited by
- 348
- References
- 227
- FWCI
- 20.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wei, Z., Zhao, J., He, H., Ding, G., Cui, H., & Liu, L. (2021). Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement. Journal of Power Sources. https://doi.org/10.1016/j.jpowsour.2021.229462
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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