Title | ||
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Least Costly Energy Management For Extended Range Electric Vehicles With Start-Up Characterization |
Abstract | ||
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In this work, the Energy Management Strategy (EMS) problem is solved considering an Electric Vehicle (EV) equipped with a Range Extender (REX), a device developed to increase the All Electric Range (AER) provided by the battery, which can be switched ON and OFF depending on the need. First, a control-oriented modeling of the powertrain is introduced focusing attention on REX description in terms of power generation, and thermal dynamics. Secondly, the EMS problem is formalized as a mixed-integer convex program. Thus, the optimal energy management policy is obtained by minimizing an objective function taking into account electricity and battery aging costs, REX fuel consumption and start-up costs. The introduction of REX thermal dynamics allows for temperature varying start-up costs and simplified REX aging modeling. To show the effectiveness of the EMS, an electric bus case study is dealt with and a sensitivity analysis is performed over some critical optimization parameters to understand when purchasing a REX is interesting and economically effective. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/CCTA.2018.8511621 | 2018 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA) |
Field | DocType | Citations |
Powertrain,Automotive engineering,Energy management,Traction motor,Electricity,Electric vehicle,Computer science,Fuel efficiency,Battery (electricity),Electricity generation | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gabriele Pozzato | 1 | 1 | 3.06 |
Simone Formentin | 2 | 127 | 29.41 |
Panzani, G. | 3 | 0 | 1.01 |
Sergio M. Savaresi | 4 | 943 | 142.05 |