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dc.contributor.authorWang, Hong
dc.contributor.authorHuang, Yanjun
dc.contributor.authorKhajepour, Amir
dc.contributor.authorSong, Qiang 19:04:35 (GMT) 19:04:35 (GMT)
dc.descriptionThe final publication is available at Elsevier via © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
dc.description.abstractThe series hybrid electric tracked bulldozer (HETB)’s fuel economy heavily depends on its energy management strategy. This paper presents a model predictive controller (MPC) to solve the energy management problem in an HETB for the first time. A real typical working condition of the HETB is utilized to develop the MPC. The results are compared to two other strategies: a rule-based strategy and a dynamic programming (DP) based one. The latter is a global optimization approach used as a benchmark. The effect of the MPC’s parameters (e.g. length of prediction horizon) is also studied. The comparison results demonstrate that the proposed approach has approximately a 6% improvement in fuel economy over the rule-based one, and it can achieve over 98% of the fuel optimality of DP in typical working conditions. To show the advantage of the proposed MPC and its robustness under large disturbances, 40% white noise has been added to the typical working condition. Simulation results show that an 8% improvement in fuel economy is obtained by the proposed approach compared to the rule-based one.en
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (NSERC) || Ontario Research Funden
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.subjectSeries hybrid electric tracked bulldozeren
dc.subjectEnergy management strategyen
dc.subjectModel predictive controlen
dc.subjectDynamic programmingen
dc.titleModel predictive control-based energy management strategy for a series hybrid electric tracked vehicleen
dcterms.bibliographicCitationWang, H., Huang, Y., Khajepour, A., & Song, Q. (2016). Model predictive control-based energy management strategy for a series hybrid electric tracked vehicle. Applied Energy, 182, 105–114.
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Mechanical and Mechatronics Engineeringen

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