Title :
Just-in-Time Learning Theory-Based Study on the Dynamic Model of Fuel Cell Engine System
Author :
Chuqi, Su ; Xiang, Lin
Author_Institution :
Automobile Eng. Sch., Wuhan Univ. of Technol., Wuhan, China
Abstract :
Fuel cell car is characterized by zero pollution, high efficiency, low noise and the like. For component selection and control strategy development of fuel cell car, computer simulation is the most common method being adopted. In this paper, the acquisition of the fuel cell engine´s operating data through CAN bus technology and USB technology is discussed; based on these data, the dynamic model of the fuel cell engine is established by applying the just-in-time learning theory; finally, the model is verified by simulation.
Keywords :
controller area networks; fuel cell vehicles; CAN bus technology; USB technology; dynamic model; fuel cell car; fuel cell engine system; just-in-time learning theory; Automotive engineering; Communication system control; Control systems; Engines; Fuel cells; Power system dynamics; Power system modeling; System testing; Universal Serial Bus; Vehicle dynamics; CAN; USB; fuel cell; just-in-time learning; system identification;
Conference_Titel :
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3881-5
DOI :
10.1109/WCSE.2009.637
