temperature field reconstruction

High-capacity and large-sized batteries are widely employed in electric vehicles and energy storage systems. The surface temperature (ST) field of these batteries is usually maldistributed and unmeasurable in practice, which brings great challenges to temperature safety monitoring. Thus, this paper rebuilds the lumped thermal model and proposes a KF (Kalman filter)-MLP (multi-layer perception) joint estimation algorithm to reconstruct the two-dimensional (2D) ST field of lithium-ion batteries (LIBs).