About
Contact & Profiles
A5085940115
Research Areas
- Advanced Battery Technologies Research
- Reliability and Maintenance Optimization
- Advancements in Battery Materials
- Electric Vehicles and Infrastructure
Beihang University
2020-2021
10.1016/j.ast.2021.106826
article
EN
Aerospace Science and Technology
2021-05-19
We report an integrated methodology (FMC-XGBoost) that mainly consists of a five-state nonhomogeneous Markov chain model (FMC) and XGBoost model. Unlike those existing methods in which capacity fading processes are assumed to be irreversible, the proposed can combine user-specific driving patterns (UDP) recovery effects (CRE) predict battery dynamics even with partially available data for individual battery. The parameters constructed FMC linked known physicochemical material properties...
10.1109/access.2020.3029397
article
EN
cc-by
IEEE Access
2020-01-01
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