PIMOE uses a mixture-of-experts network with physics-derived features to forecast second-life battery capacity trajectories from a single cycle of partial charging and relaxation data, reporting 0.88% mean absolute percentage error over 50-cycle horizons.
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Physics-informed mixture of experts network for interpretable battery degradation trajectory computation amid second-life complexities
PIMOE uses a mixture-of-experts network with physics-derived features to forecast second-life battery capacity trajectories from a single cycle of partial charging and relaxation data, reporting 0.88% mean absolute percentage error over 50-cycle horizons.