Abstract

A hybrid electrical bus employs both a turbo diesel engine and an electric motor to drive the vehicle in different speed-torque scenarios. The cooling system for such a vehicle is particularly power costing because it needs to dissipate heat from not only the engine, but also the intercooler and the motor. An electronic control unit (ECU) has been designed with a single chip computer, temperature sensors, DC motor drive circuit, and optimized control algorithm to manage the speeds of several fans for efficient cooling using a nonlinear fan speed adjustment strategy. Experiments suggested that the continuous operating performance of the ECU is robust and capable of saving 15% of the total electricity comparing with ordinary fan speed control method.

Highlights

  • A hybrid electrical vehicle (HEV) employs both a turbo diesel engine and an electric motor to drive the vehicle in different speed-torque scenarios

  • This study presents a design of an integrated cooling system controller electronic control unit (ECU) for hybrid electrical vehicle

  • Temperatures in the water tank, intercooler, and main drive motor are measured by the MCU to control optimal fan speeds

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Summary

Introduction

A hybrid electrical vehicle (HEV) employs both a turbo diesel engine and an electric motor to drive the vehicle in different speed-torque scenarios. On buses or coaches the power systems are often mounted in the rear of the vehicles and the radiators are often mounted on one side of the vehicles and cooled by lateral wind pulled in by electrical fans, which consume a large amount of electricity. Within vehicle thermomanagement strategies, cooling fan speed adjustment is a specific topic and often relates to analysis of radiator, flow, and the air. For large HEV buses or coaches the power consumption of the cooling fans is significant, which requires more advanced cooling control ECU to perform energy saving and vehicle thermomanagement

The Control System Scheme and Cooling Theories
Control Strategies
Controller Hardware Design
Controller Software Design
Experiments
Findings
Conclusion
Full Text
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