Heat Management in E-Vehicles

Developed predictive control strategies for multi-mode thermal management systems in electric vehicles:

Thermal Modes:

Cooling, heating, dehumidification, defrosting, and combined modes for battery and cabin temperature regulation.

Advanced Control Methods:

• Multi-variable system modeling using MATLAB and Simulink for control design.
• Physical simulation through Dymola to validate thermal system performance.
• Integrated hardware-in-the-loop (HIL) testing for real-time application validation.

Example Application:

Collaborated with Shanghai Songzhi to develop China’s first independently designed climate wind tunnel system for electric vehicles.

Achieved precise control results:

• Wind speed stability: ±0.5 kph, overshoot <0.2%.
• Temperature stability: ±0.2°C, deviation <5%.
• Humidity stability: ±2% RH, deviation <5%.