Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method
Life Cycle Engineering (United States) · University of Maryland, College Park
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Abstract
No abstract available for this paper.
Citation impact
1,033
total citations
- FWCI
- 37.99
- Percentile
- 100%
- References
- 30
Citations per year
Authors
4- WHWei He
Life Cycle Engineering (United States), University of Maryland, College Park
- NWNicholas Williard
Life Cycle Engineering (United States), University of Maryland, College Park
- MOMichael Osterman
Life Cycle Engineering (United States), University of Maryland, College Park
- MPMichael PechtCorresponding
University of Maryland, College Park, Life Cycle Engineering (United States)
Topics & keywords
Topics
Keywords
- Prognostics
- Monte Carlo method
- Battery (electricity)
- Bayesian probability
- Particle filter
- Dempster–Shafer theory
- Computer science
- State of health
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