Combined film and pulse heating of lithium ion batteries to improve performance in low ambient temperature
Habtamu Hailemichael, Beshah Ayalew

TL;DR
This study explores a combined approach of film and pulse heating to rapidly and uniformly preheat lithium-ion batteries at low temperatures, using modeling and reinforcement learning to optimize the process.
Contribution
It introduces a novel combined heating method optimized via reinforcement learning to improve low-temperature battery performance and reduce energy consumption.
Findings
Combined heating achieves faster temperature rise with minimal gradients.
Reinforcement learning effectively optimizes heating parameters.
Pulse heating reduces auxiliary power requirements.
Abstract
Low ambient temperatures significantly reduce Lithium ion batteries' (LIBs') charge/discharge power and energy capacity, and cause rapid degradation through lithium plating. These limitations can be addressed by preheating the LIB with an external heat source or by exploiting the internal heat generation through the LIB's internal impedance. Fast external heating generates large temperature gradients across the LIB due to the low thermal conductivity of the cell, while internal impedance heating (usually through AC or pulse charge/discharging) tends to be relatively slow, although it can achieve more uniform temperature distribution. This paper investigates the potential of combining externally sourced resistive film heating with bidirectional pulse heating to achieve fast preheating without causing steep temperature gradients. The LIB is modeled with the Doyle Fuller Newman (DFN)…
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