affiliation not provided to SSRN
Fault early warning, Informer network, multi-step ahead voltage prediction, incremental training
Battery Pack, State of Health, Cell-to-Pack Transfer, Domain Adversarial Training, Parallel LSTM-Informer
Battery pack, State of health, Cell-to-Pack Transfer, Domain Adversarial Training, Parallel LSTM-Informer
State of health (SOH), Lithium-ion batteries, transformer, attentional mechanisms, charging voltage segment
Heterogeneous multi-agent reinforcement learning (HMARL), connected and automated vehicles (CAVs), mixed traffic, potential game (PG), safety projection
Lithium-ion battery, State of Health (SOH), battery expansion, Physics-informed learning, Autoformer
Heterogeneous multi-agent reinforcement learning (HMARL), connected and automated vehicles (CAVs), mixed traffic, potential game (PG), safety projection.
Prismatic lithium-ion battery, multi-point temperature state, electro-thermal coupled model, adaptive square root unscented Kalman filter
Lithium-ion battery, state of charge, temporal convolutional network and gated recurrent unit, adaptive H infinity filter with forgetting factor
Lithium-ion battery, State of Charge (SOC), square root cubature Kalman filter, Transfer Learning, temporal convolutional neural network
state of health, Lithium-ion batteries, Transformer, attentional mechanisms, charging voltage segment
Capacity estimation, Lithium-ion battery, real-world electric vehicle, convolutional neural networks-gate recurrent unit, Gaussian process regression
State of health, Lithium-ion Battery Pack, Domain Adversarial Transfer Learning, Parallel Network, Long Short-Term Memory-Informer
State of charge, parallel battery current, total least squares, Sage-Husa adaptive filtering, square root cubature Kalman filter
State of Charge, total least squares, square root cubature Kalman filter, random Fourier feature Gaussian process, model fusion
