Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1944
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dc.contributor.authorMaddumage, W-
dc.contributor.authorPerera, M-
dc.contributor.authorAttalage, R-
dc.contributor.authorKelly, P-
dc.date.accessioned2022-04-07T05:28:53Z-
dc.date.available2022-04-07T05:28:53Z-
dc.date.issued2021-01-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1944-
dc.description.abstractMillions of three-wheelers in large cities of Asia and Africa contribute to the already increasing urban air pollutants. An emerging method to reduce adverse effects of the growing threewheeler fleet is hybrid-electric technology. The overall efficiency of a hybrid electric vehicle heavily depends on the power management strategy used in controlling the main powertrain components of the vehicle. Recent studies highlight the need for a comprehensive report on developing an easyto-implement and efficient control strategy for hybrid electric three-wheelers. Thus, in the present study, a design methodology for a rule-based supervisory controller of a pre-transmission parallel hybrid three-wheeler based on an optimal control strategy (i.e., dynamic programming) is proposed. The optimal control problem for minimizing fuel, emissions (i.e., HC, CO and NOx) and gear shift frequency are solved using dynamic programming (DP). Numerical issues of DP are analyzed and trade-offs between optimizing objectives are presented. Since DP strategy cannot be implemented as a real-time controller, useful strategies are extracted to develop the proposed rule-based strategy. The developed rule-based strategy show performance within 10% of the DP results on WLTC and UDC-NEDC drive cycles and has the clear advantage of being near-optimal, easy-to-implement and computationally less demanding.en_US
dc.language.isoenen_US
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.ispartofseriesEnergies;Vol 14 Issue 7 Pages 1833-
dc.subjecthybrid electric vehicleen_US
dc.subjectauto-rickshawen_US
dc.subjectenergy management strategyen_US
dc.subjectmulti-objective optimizationen_US
dc.subjectrule-based controlen_US
dc.subjectdynamic programmingen_US
dc.subjectfuel economyen_US
dc.subjectbackward-facing modelen_US
dc.subjectforward-facing modelen_US
dc.titlePower Management Strategy of a Parallel Hybrid Three-Wheeler for Fuel and Emission Reductionen_US
dc.typeArticleen_US
dc.identifier.doidoi.org/10.3390/en14071833en_US
Appears in Collections:Research Papers - Department of Mechanical Engineering
Research Papers - Open Access Research
Research Papers - SLIIT Staff Publications

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