Energy-Based Design of Powertrain for a Re-Engineered Post-Transmission Hybrid Electric Vehicle

This paper presents a systematic approach for the design of post-transmission hybrid electric vehicle powertrains, as an instrument aiding the designer in making the right decision. In particular, a post-transmission series/parallel hybrid electric powertrain is considered, and all of the possible e...

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Main Author: Laura Tribioli
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/10/7/918
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author Laura Tribioli
author_facet Laura Tribioli
author_sort Laura Tribioli
collection DOAJ
description This paper presents a systematic approach for the design of post-transmission hybrid electric vehicle powertrains, as an instrument aiding the designer in making the right decision. In particular, a post-transmission series/parallel hybrid electric powertrain is considered, and all of the possible energy paths are taken into account, in order to automatically select the configuration that gives the lowest fuel consumption, thus better fitting to the considered mission. The optimization problem is solved with the Dijkstra algorithm, which is more computationally efficient than other optimization algorithms in the case of massive design spaces. In this way, it is possible to design a vehicle in terms of architecture and component sizes, without making any a priori choices, which are usually based on common sense, likely compromising the overall system efficiency. In order to demonstrate the effectiveness of the methodology, different driving cycles have been simulated, and some results are presented. The methodology is particularly applied to re-engineered vehicles, aimed at maximizing the benefits of the vehicle hybridization process. Results show how the introduction, in the optimization algorithm, of the engine load factor and sharing factor, for the engine torque split between the generator and the wheels, is crucial. For example, a 10% reduction of the original engine size, suggested by a low load factor, is able to allow for a 24% reduction in the fuel consumption. On the other hand, the sharing factor is of particular importance in suggesting if the vehicle architecture should be series, parallel or rather combined.
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spelling doaj.art-954c3aee52164d9596815a997084d06b2022-12-22T02:56:37ZengMDPI AGEnergies1996-10732017-07-0110791810.3390/en10070918en10070918Energy-Based Design of Powertrain for a Re-Engineered Post-Transmission Hybrid Electric VehicleLaura Tribioli0Department of Engineering, Niccolò Cusano University, via Don Carlo Gnocchi 3, 00166 Rome, ItalyThis paper presents a systematic approach for the design of post-transmission hybrid electric vehicle powertrains, as an instrument aiding the designer in making the right decision. In particular, a post-transmission series/parallel hybrid electric powertrain is considered, and all of the possible energy paths are taken into account, in order to automatically select the configuration that gives the lowest fuel consumption, thus better fitting to the considered mission. The optimization problem is solved with the Dijkstra algorithm, which is more computationally efficient than other optimization algorithms in the case of massive design spaces. In this way, it is possible to design a vehicle in terms of architecture and component sizes, without making any a priori choices, which are usually based on common sense, likely compromising the overall system efficiency. In order to demonstrate the effectiveness of the methodology, different driving cycles have been simulated, and some results are presented. The methodology is particularly applied to re-engineered vehicles, aimed at maximizing the benefits of the vehicle hybridization process. Results show how the introduction, in the optimization algorithm, of the engine load factor and sharing factor, for the engine torque split between the generator and the wheels, is crucial. For example, a 10% reduction of the original engine size, suggested by a low load factor, is able to allow for a 24% reduction in the fuel consumption. On the other hand, the sharing factor is of particular importance in suggesting if the vehicle architecture should be series, parallel or rather combined.https://www.mdpi.com/1996-1073/10/7/918hybrid electric vehiclepowertrain designcomponent sizingoptimal design methodology
spellingShingle Laura Tribioli
Energy-Based Design of Powertrain for a Re-Engineered Post-Transmission Hybrid Electric Vehicle
Energies
hybrid electric vehicle
powertrain design
component sizing
optimal design methodology
title Energy-Based Design of Powertrain for a Re-Engineered Post-Transmission Hybrid Electric Vehicle
title_full Energy-Based Design of Powertrain for a Re-Engineered Post-Transmission Hybrid Electric Vehicle
title_fullStr Energy-Based Design of Powertrain for a Re-Engineered Post-Transmission Hybrid Electric Vehicle
title_full_unstemmed Energy-Based Design of Powertrain for a Re-Engineered Post-Transmission Hybrid Electric Vehicle
title_short Energy-Based Design of Powertrain for a Re-Engineered Post-Transmission Hybrid Electric Vehicle
title_sort energy based design of powertrain for a re engineered post transmission hybrid electric vehicle
topic hybrid electric vehicle
powertrain design
component sizing
optimal design methodology
url https://www.mdpi.com/1996-1073/10/7/918
work_keys_str_mv AT lauratribioli energybaseddesignofpowertrainforareengineeredposttransmissionhybridelectricvehicle