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.
Highlights
Range-extended electric vehicles (RE-EVs) are a feasible and provisional solution to the problem of short driving ranges for electric vehicles
auxiliary power unit (APU) are an important part of RE-EVs, and work by following the power requirements of electric vehicle complex work conditions and satisfying battery state of charge (SOC) energy states [3]
The energy management optimization problem is proposed to solve the power distribution of APUs and batteries in the charge-sustaining (CS) stage of RE-EVs, which is determined by dynamic programming and pseudo-spectral optimal control, respectively [9,10,11]
Summary
Range-extended electric vehicles (RE-EVs) are a feasible and provisional solution to the problem of short driving ranges for electric vehicles. APUs are an important part of RE-EVs, and work by following the power requirements of electric vehicle complex work conditions and satisfying battery state of charge (SOC) energy states [3]. Control strategies considering power energy distribution are in great demand in recent APU system design research. The method of multi-objective optimal energy management is proposed to match APU fuel consumption and battery state in the power system of RE-EVs [5,6,7,8]. The energy management optimization problem is proposed to solve the power distribution of APUs and batteries in the charge-sustaining (CS) stage of RE-EVs, which is determined by dynamic programming and pseudo-spectral optimal control, respectively [9,10,11].
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