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  1. Research Outputs

On the Derivation of the Globally Optimal Efficiency Maps in Hybrid and Full Electric Vehicles

Conference Paper
Publication Date:
2025
Short description:
On the Derivation of the Globally Optimal Efficiency Maps in Hybrid and Full Electric Vehicles / Tebaldi, Davide. - (2025), pp. 1-5. ( 2025 IEEE Vehicle Power and Propulsion Conference (VPPC) Hangzhou, China 22-25 October 2025) [10.1109/vppc66000.2025.11393058].
abstract:
In this paper, the derivation of the globally optimal efficiency map, and of the corresponding globally optimal speed and torque maps of the power sources, is addressed for a class of hybrid and full electric vehicles. The problem is formulated and solved using two algorithms for two case studies, accounting for the power sources efficiency maps and for the gears dissipation. The considered case studies for the derivation of the globally optimal efficiency maps are: the recharge of the energy storage system in a series hybrid electric vehicle, and a power-split full electric vehicle equipped with a single-stage planetary gear set.
Iris type:
Relazione in Atti di Convegno
Keywords:
Hybrid Electric Vehicle, Full Electric Vehicle, Efficiency Map, Modeling
List of contributors:
Tebaldi, Davide
Authors of the University:
TEBALDI DAVIDE
Handle:
https://iris.unimore.it/handle/11380/1397348
Book title:
2025 IEEE Vehicle Power and Propulsion Conference (VPPC)
Project:
Energy-Aware Control of Physical Systems Composing Robotic Manipulators for Increasing Efficiency and Safety
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Overview

URL

https://ieeexplore.ieee.org/document/11393058
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