DocumentCode :
498400
Title :
Study on Intelligent Control Strategy of Battery–Electric Bus Based on the Fuzzy Comprehensive Evaluation Method
Author :
Cheng, Lin ; Hui, Zhou ; Sun Feng-chun ; Nan Jin-rui
Author_Institution :
Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing, China
Volume :
2
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
328
Lastpage :
332
Abstract :
How to use the lithium-ion power battery effectively, how to improve the discharging efficiency and the cycle-life of the power battery is a hotspot of research in battery-electric vehicle(BEV) field. The fuzzy comprehensive evaluation method is used to evaluate the factors that influence the discharging efficiency and the cycle-life of the power battery.The demanded dynamic performance is judged by average value of traction pedal in a fixed period; The weighting coefficients are confirmed according to the relative importance of each parameter,and the intelligent control strategy is made according to the judging result. The intelligent control strategy is loaded to the pure vehicle controller and verified by real vehicle.The result indicates that the intelligent control strategy made by using the fuzzy comprehensive evaluation method can prevent the battery to be over current or over discharge. The discharging efficiency of the battery is improved , and the range of vehicle is lengthened under the public traffic mode.
Keywords :
battery powered vehicles; intelligent control; secondary cells; Li; battery-electric bus; fuzzy comprehensive evaluation method; intelligent control strategy; power battery cycle-life; Battery powered vehicles; Communication system control; Control systems; Costs; Fuzzy control; Intelligent control; Temperature control; Temperature distribution; Torque control; Vehicle dynamics; CAN-bus; battery–electric bus; control strategy; fuzzy comprehensive evaluation method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
Type :
conf
DOI :
10.1109/GCIS.2009.436
Filename :
5209414
Link To Document :
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