Development and Test Application of an Auxiliary Power-Integrated System

Abstract

This paper focuses on the design and test technique of an auxiliary power unit (APU) for a range-extended electric vehicle (RE-EV). The APU system is designed to improve RE-EV power and economy; it integrates the power system, generator system, battery system, and APU controller. The parameters of the APU parts are computed and optimized considering the vehicle power demand and the matching characteristic of the engine and generator. The hardware and software systems are developed for the APU-integrated control system. The APU test bench, combined with the displaying part, the control part, and the bench with its accessory, is constructed. Communication connection in the APU system is established by controller area network (CAN) bus. The APU controller outputs a corresponding signal to the engine control unit (ECU) and motor controller. To verify the rationality of the control strategy and the validity of the control logic, the engine speed control and integrated control experiment of the APU system are completed on the test bench. The test results showed that the test control system is reliable and the relevant control logic is in agreement with simulation analysis. The APU-integrated system could be well suited for application in RE-EVs.

Design and Realization of Auxiliary Power Unit Coordination Control Strategy

“…Based on a certain type of RE-EV bus, according to the vehicle specifications and performance requirements, a series matching calculations and parts design of APU system are carried out to keep the demand of vehicle bus range extended distance. The main parameters of electric bus, the drive electric motor and battery can be referenced in [7]. To satisfy the power requirement of the RE-EV bus, the engine is selected a four-stroke, turbocharged, intercooled highspeed diesel engine with EGR system.…”

Research Progress on Electric and Intelligent Vehicles

“…Other research studies include improving vehicle ride comfort by controlling an in-wheel vibration absorber [20] and suppressing the in-wheel vibration [21], the accurate control of EV height adjustment [22], a load control method for fast charging [23], and the development of an auxiliary power-integrated system for a range-extended EV [24]. Li et al [25] introduced a new dynamical trajectory-planning method based on the Adaptive Control of Thought-Rational cognitive model to realize an active obstacle avoidance system that can drive a vehicle smoothly and without collision in complex road situations.…”