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

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.

Authors

Institutions

Publication Details

Published
2025-10-22
DOI
https://doi.org/10.1109/vppc66000.2025.11393058
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Davide Tebaldi
Electric and Hybrid Vehicle Technologies
article

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

Davide Tebaldi
article en

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.

University of Modena and Reggio Emilia (IT), Ferrari (Italy) (IT)
Affordable and clean energy
Openalex Percentile: Top 38%
Electric and Hybrid Vehicle Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.