Battery health prediction under generalized conditions using a Gaussian process transition model

17 Jul 2018Robert R. RichardsonMichael A. OsborneDavid A. Howey

Accurately predicting the future health of batteries is necessary to ensure reliable operation, minimise maintenance costs, and calculate the value of energy storage investments. The complex nature of degradation renders data-driven approaches a promising alternative to mechanistic modelling... (read more)

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