Validating volt PHEV model with dynamometer test data using autonomie
DC Field | Value | Language |
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dc.contributor.author | Kim, Namdoo | - |
dc.contributor.author | Duoba, Michael | - |
dc.contributor.author | Kim, Namwook | - |
dc.contributor.author | Rousseau, Aymeric | - |
dc.date.accessioned | 2021-06-23T05:23:59Z | - |
dc.date.available | 2021-06-23T05:23:59Z | - |
dc.date.created | 2021-01-22 | - |
dc.date.issued | 2013-07 | - |
dc.identifier.issn | 1946-3995 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/30540 | - |
dc.description.abstract | The first commercially available Plug-In Hybrid Electric Vehicle (PHEV), the General Motors (GM) Volt, was introduced into the market in December 2010. The Volt's powertrain architecture provides four modes of operation, including two that are unique and maximize the Volt's efficiency and performance. The electric transaxle has been specially designed to enable patented operating modes both to improve the electric driving range when operating as a battery electric vehicle and to reduce fuel consumption when extending the range by operating with an internal combustion engine (ICE). However, details on the vehicle control strategy are not widely available because the supervisory control algorithm is proprietary. Since it is not possible to analyze the control without vehicle test data obtained from a welldesigned Design-of-Experiment (DoE), a highly instrumented GM Volt, including thermal sensors, was tested at Argonne National Laboratory's Advanced Powertrain Research Facility (APRF). In this paper, we first describe the vehicle instrumentation and the test results. The vehicle control algorithm is analyzed from the test data and designed in Simulink. Finally, the Autonomie Volt component models and control strategy are validated, using APRF vehicle test data. 2013 SAE International. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SAE International | - |
dc.title | Validating volt PHEV model with dynamometer test data using autonomie | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Namwook | - |
dc.identifier.doi | 10.4271/2013-01-1458 | - |
dc.identifier.scopusid | 2-s2.0-84878794159 | - |
dc.identifier.bibliographicCitation | SAE International Journal of Passenger Cars - Mechanical Systems, v.6, no.2, pp.985 - 992 | - |
dc.relation.isPartOf | SAE International Journal of Passenger Cars - Mechanical Systems | - |
dc.citation.title | SAE International Journal of Passenger Cars - Mechanical Systems | - |
dc.citation.volume | 6 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 985 | - |
dc.citation.endPage | 992 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.identifier.url | https://saemobilus.sae.org/content/2013-01-1458/ | - |
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