Fuel efficiency improvement in HEVs using electromechanical brake system
2013 (English)In: 2013 IEEE Intelligent Vehicles Symposium (IV), IEEE , 2013, 322-327 p.Conference paper (Refereed)
Today, two of the main concerns in transportation industry are reducing fuel consumption and emissions, and tough regulations are put on the vehicle manufacturers in these regards. One of the main approaches towards reducing CO2 emissions is hybridization of the powertrain system. Substantial R&D in this area over the last couple of years has resulted in rather optimal components and control strategies, and hence that further substantial improvements are difficult. This motivates research on other energy consuming vehicle subsystems, e.g. pneumatic and hydraulic systems. In this paper, the brake system of a hybrid city bus is studied. A complete electrification of the primary brake system would eliminate the use of low efficiency pneumatics for braking. It is therefore interesting to investigate how much energy can be saved by using electrically actuated and controlled primary brakes. The study is based on simulations in Autonomie which is a MATLAB/SIMULINK based vehicle simulation software package. Different representative driving cycles are studied. It is shown that fuel consumption can be reduced in the range of 0.5 to 1.5% by substituting the pneumatic brake system with a mechatronic one. This may seem limited, but can, combined with substitution of also other less efficient subsystems with their mechatronic counterparts, result in a substantial environmental and economic improvement.
Place, publisher, year, edition, pages
IEEE , 2013. 322-327 p.
, IEEE Intelligent Vehicles Symposium, Proceedings, ISSN 1931-0587
Control strategies, Economic improvements, Electromechanical brake, Fuel efficiency improvement, Pneumatic brake system, Power-train systems, Transportation industry, Vehicle manufacturers
Control Engineering Vehicle Engineering
IdentifiersURN: urn:nbn:se:kth:diva-143142DOI: 10.1109/IVS.2013.6629489ISI: 000339402900027ScopusID: 2-s2.0-84892385920ISBN: 978-146732755-8OAI: oai:DiVA.org:kth-143142DiVA: diva2:706108
2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013; Gold Coast, QLD; Australia; 23 June 2013 through 26 June 2013
QC 201403192014-03-192014-03-172016-01-28Bibliographically approved