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Lithium-ion Battery Aging Prediction with Electrochemical Models: P2D vs SPMe
(IEEE, 2023)
Battery aging models are essential tools when predicting how much a battery will age under certain working conditions, which is key when sizing a battery pack and controlling its operation. Nowadays, mostly empirical battery ...
Li-ion Battery State-of-Charge estimation algorithm with CNN-LSTM and Transfer Learning using synthetic training data
(2022)
The development of State-of-Charge (SoC) algorithms for Li-ion batteries involves carrying out different laboratory tests with the money and time that this entails. Furthermore, such laboratory labours must typically be ...
Comparison between Bernardi’s equation and Heat Flux Sensor measurement as Battery Heat Generation Estimation Method
(2022)
The heat generation of an energy storage system is an essential topic when designing a battery pack and its cooling system. Heat generation estimation is used together with thermal models to predict battery temperature in ...