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Battery Systems Engineering
Abstract
A complete all-in-one reference on the important interdisciplinary topic of Battery Systems Engineering Focusing on the interdisciplinary area of battery systems engineering, this book provides the background, models, solution techniques, and systems theory that are necessary for the development of advanced battery management systems. It covers the topic from the perspective of basic electrochemistry as well as systems engineering topics and provides a basis for battery modeling for system engineering of electric and hybrid electric vehicle platforms. This original
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Cited by
Battery State Estimation for a Single Particle Model With Electrolyte Dynamics
Moura, S. J., Argomedo, F. B., Klein, R., Mirtabatabaei, A., & Krstic, M. (2017) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2016.2571663 · Cited by 431
Lithium dendrite growth mechanisms in polymer electrolytes and prevention strategies
Barai, P., Higa, K., & Srinivasan, V. (2017) · Physical Chemistry Chemical Physics · doi:10.1039/c7cp03304d · Cited by 339
Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles
Hu, X., Li, S. E., Jia, Z., & Egardt, B. (2014) · Energy · doi:10.1016/j.energy.2013.11.061 · Cited by 187
Current Trends for State-of-Charge (SoC) Estimation in Lithium-Ion Battery Electric Vehicles
Espedal, I. B., Jinasena, A., Burheim, O. S., & Lamb, J. J. (2021) · Energies · doi:10.3390/en14113284 · Cited by 177
Electrothermal Modeling of Lithium-Ion Batteries for Electric Vehicles
Yang, Z., Patil, D., & Fahimi, B. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2018.2880138 · Cited by 67
Metadata
- Authors
- Rahn, C. D., & Wang, C.
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2013-01-24
- OpenAlex
- W1583183484
- Cited by
- 260
- References
- 0
- FWCI
- 13.47
- Type
- book
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.