Dynamic model and control algorithm of HVAC system for dynamic wireless charging EV application

Abstract

In recent years, there have been increased interests and demands on electrical vehicles (EVs) as one of the green technologies. In order to overcome the critical issues of the batteries on EV introduction, we introduce the new concept of EV charging method, called On-Line Electric Vehicle (OLEV®). This technology utilizes the inductive power transmission principle, so that the EV can be charged while the vehicle is in motion or stationary. In this paper the brief operating method on the OLEV® is introduced. Like other EV applications, the vehicle requires to have properly designed heating, cooling, and air-conditioning system. Also minimizing the power consumption of the power electronics inside the vehicle, and meeting customers' perspective on the cooling and heating performance is important, and thus it is necessary develop a proper sets of dynamic models and control algorithms for Heating Ventilation Air-Conditioning (HVAC) linked together with the other required system operation, such as the power drive and wireless charging on this system. Based on the operation conditions, an intelligent control algorithm of HVAC system is developed considering important parameters such as dynamic power supply condition from the powered road, pick up power capacity and battery state of charge (SOC) level in view of driving distance. Hierarchical algorithmic decision process of heating and cooling operation based upon the available energy storage within the vehicle, instantaneous and accumulated on-road power supply, and controlling the air conditioning compressor speed, is developed and discussed in order to maximize the customers' satisfaction.