Diesel Fuel Injection Pump MT040 Engine Auto Engine Part

Abstract:

The cooling oil pump plays a crucial role in automotive thermal management, ensuring stable lubrication and effective heat dissipation for engines, electric motors, and power electronics. With the increasing demand for energy efficiency and system reliability, traditional fixed-speed or mechanically driven cooling pumps are unable to meet the requirements of real-time load adaptation. This study proposes a set of intelligent control strategies for electric cooling oil pumps based on multi-parameter monitoring, predictive algorithms, and closed-loop optimization.

A dynamic thermal model is established to describe the relationship among oil temperature, flow rate, engine/motor load, and pump speed. Based on this model, a fuzzy logic control (FLC) strategy and a model predictive control (MPC) algorithm are designed to optimize pump operation under varying working conditions. Real-time sensor data—including temperature, viscosity, rotational speed, and thermal load—is used to dynamically adjust pump output to achieve optimal cooling performance with minimum energy consumption.

Experimental results show that the intelligent control strategy reduces pump energy usage by up to 22% while maintaining stable oil temperature under high-load conditions. MPC exhibits superior prediction accuracy and response speed, while FLC offers robustness in nonlinear and uncertain operating environments. The proposed intelligent control solutions significantly enhance cooling efficiency, system reliability, and component lifespan, providing technical support for next-generation intelligent thermal management systems in fuel and hybrid vehicles.