DocumentCode
3348474
Title
A Comparative Study of Supervisory Control Strategies for a Series Hybrid Electric Vehicle
Author
Gao, Jianping ; Sun, Fengchun ; He, Hongwen ; Zhu, Guoming G. ; Strangas, Elias G.
Author_Institution
Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing
fYear
2009
fDate
27-31 March 2009
Firstpage
1
Lastpage
7
Abstract
To develop an efficient real-time supervisory control strategy for a series hybrid electric bus, three kinds of popular strategies were compared in principle; backward simulations in ADVISOR were conducted for these strategies. Comparative simulation results shows that thermostat control strategy makes the internal combustion engine operate at its most efficient condition; power follower control strategy is helpful to reduce the battery usage, hence, reduce the power loss associated with charging and discharging and extend the battery life; and the equivalent fuel consumption control strategy proposed in this paper provides a total system optimization between the engine and battery efficiencies, leading to the best fuel economy.
Keywords
automobiles; battery powered vehicles; fuel economy; hybrid electric vehicles; internal combustion engines; optimisation; power control; thermostats; ADVISOR; backward simulations; battery life; battery usage; equivalent fuel consumption control strategy; fuel economy; internal combustion engine; power follower control strategy; power loss; real-time supervisory control strategy; series hybrid electric bus; thermostat control strategy; total system optimization; Automotive engineering; Batteries; Environmental economics; Fuel economy; Hybrid electric vehicles; Internal combustion engines; Power generation economics; Power system economics; Supervisory control; Thermostats;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location
Wuhan
Print_ISBN
978-1-4244-2486-3
Electronic_ISBN
978-1-4244-2487-0
Type
conf
DOI
10.1109/APPEEC.2009.4918038
Filename
4918038
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