Development of a Hybrid Data-Driven and Physics-Based Battery Management System for Enhanced State Estimation and Predictive Control in Lithium-Ion Batteries
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| Format: | masterThesis |
| Published: |
2020
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/143837/1/g202315770_thesis.pdf |
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