Equivalent Consumption Minimization Strategy Based on Belt Drive System Characteristic Maps for P0 Hybrid Electric Vehicles

Shailesh Hegde (), Angelo Bonfitto, Renato Galluzzi, Luis M. Castellanos Molina, Nicola Amati and Andrea Tonoli
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Shailesh Hegde: Center for Automotive Research and Sustainable Mobility, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Turin, Italy
Angelo Bonfitto: Center for Automotive Research and Sustainable Mobility, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Turin, Italy
Renato Galluzzi: Center for Automotive Research and Sustainable Mobility, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Turin, Italy
Luis M. Castellanos Molina: Center for Automotive Research and Sustainable Mobility, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Turin, Italy
Nicola Amati: Center for Automotive Research and Sustainable Mobility, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Turin, Italy
Andrea Tonoli: Center for Automotive Research and Sustainable Mobility, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Turin, Italy

Energies, 2023, vol. 16, issue 1, 1-21

Abstract: A P0 system is used in hybrid automobiles to improve engine economy and performance. An essential element of the P0 system for effectively transmitting power to the drive train is the belt drive system (BDS). The features of electric machine (EM) and internal combustion engines (ICE) are taken into account by standard energy management systems, such as the equivalent consumption minimization strategy (ECMS). In order to maximize the effectiveness of the P0 system, this work provides a novel formulation of the ECMS, which considers the power loss map of the BDS in addition to the characteristic maps of EM and ICE. A test bench is built up to characterize the BDS, and it is verified using an open-loop Hardware in the Loop (HIL) in the WLTP driving cycle. To find the most appropriate equivalence factors for the ECMS, which would ordinarily be tuned through trial and error, a genetic algorithm (GA) is used. With regard to the standard ECMS, the proposed methodology intends to reduce fuel usage and CO 2 emissions. Two belts in BDS were tested in the WLTP to achieve CO 2 savings of 1.1 and 0.9 [g/km], indicating the enhancement of system performance by using the BDS power loss maps in ECMS.

Keywords: equivalent consumption minimization strategy; belt drive system characterization; genetic algorithm; HEV-P0 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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