Real-Time Lithium Battery Aging Prediction Based on Capacity Estimation and Deep Learning Methods
Joaquín de la Vega,
Jordi-Roger Riba,
Juan Antonio Ortega-Redondo
Abstract:Lithium-ion batteries are key elements in the development of electrical energy storage solutions. However, due to cycling, environmental, and operating conditions, battery capacity tends to degrade over time. Capacity fade is a common indicator of battery state of health (SOH) because it is an indication of how the capacity has been degraded. However, battery capacity cannot be measured directly, and thus, there is an urgent need to develop methods for estimating battery capacity in real time. By analyzing the… Show more
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