Gaussian process regression for in-situ capacity estimation of lithium-ion batteries
Accurate on-board capacity estimation is of critical importance in lithium-ion battery applications. Battery charging/discharging often occurs under a constant current load, and hence voltage vs. time measurements under this condition may be accessible in practice. This paper presents a data-driven...
| Main Authors: | , , , |
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| Format: | Journal article |
| Published: |
IEEE
2018
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