A new temperature control strategy for lithium-ion battery forced air-cooling system without temperature overshoot

The lithium-ion battery (LIB) system is a complex distributed parameter system with strong nonlinearity. The temperature change of the LIB system has a strong hysteresis. If the measured temperature is just used for feedback control, the temperature overshoot of the system is inevitable. In this paper, a temperature control strategy of the forced air-cooling system is proposed based on the principle of model predictive control (MPC) and particle swarm optimization (PSO) combining with the reduced order thermal model (ROTM). Furthermore, the simulation experiment was set up to study the performance of the above temperature control strategy. The simulation result shows that the temperature control strategy proposed in this paper can keep the LIB system in a suitable temperature range under New European Driving Cycle (NEDC) test conditions, and the temperature overshoot can be suppressed effectively comparing with the PID control strategy.