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.

Least Costly Energy Management for Extended Range Electric Vehicles with Start-Up Characterization

Pozzato, Gabriele;Formentin, Simone;Panzani, Giulio;Savaresi, Sergio M.
2018-01-01

Abstract

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.
2018 IEEE Conference on Control Technology and Applications, CCTA 2018
9781538676981
Aerospace Engineering; Control and Optimization; Automotive Engineering; Safety, Risk, Reliability and Quality
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1074511
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