Dynamic Model and Control Algorithm of HVAC System For OLEV® Application

被引:0
|
作者
Park, Mi-Hyun [1 ]
Shin, Eun-Gyeong [2 ]
Lee, Heung-Reol [1 ,3 ]
Suh, In-Soo [4 ]
机构
[1] KAIST OLEV, Elect Dr HVAC Dev Team, Taejon, South Korea
[2] Korea Adv Inst Sci & Technol, Dept Aerospace Engn, Daejeon, South Korea
[3] KAIST OLEV, Elect Drive HVAC Development Team, Daejeon, South Korea
[4] Korea Adv Inst Sci & Technol, Dept Mech Engn, Daejeon, South Korea
关键词
OLEV (R) (On-Line Electric Vehicle); Air conditioning system; Dynamic model; Cooling; Heat storage; Thermal management; SOC(State Of Charge);
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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, KAIST introduced the new concept of electric charging method, called OLEV (R) (On-Line Electric Vehicle). OLEV (R) technology utilizes the inductive power transmission principal, 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 (R) is introduced. In order to optimize the power consumption within the power electronics inside the vehicle and the cooling and heating performance per customers' perspective, it is necessary develop a proper sets of dynamic models and control algorithms for HVAC (Heating Ventilation Air-Conditioning) linked together with OLEV (R) system operation. Based on the operation conditions of OLEV (R), the advanced control algorithm of HVAC system is developed considering important parameters such as power supply condition from the powered road, pick up power and battery SOC (state of charge).
引用
收藏
页码:1312 / 1317
页数:6
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