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Improving powertrain efficiency through torque modulation techniques in single and dual motor electric vehicles
Zeekr Technology Europe AB, Göteborg; Chalmers University of Technology, Division of Energy Conversion and Propulsion Systems, Mechanics and Maritime Sciences, Göteborg (SWE).
RISE Research Institutes of Sweden, Göteborg (SWE).
University West, Department of Engineering Science, Division of electrical engineering. (iAIL KAMAIL)
Infimotion Technology Europe AB, Göteborg, (SWE).
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2024 (English)In: Transportation Engineering, E-ISSN 2666-691X, Vol. 18, article id 100289Article in journal (Refereed) Published
Abstract [en]

Battery Electric Vehicles (BEVs) typically experience reduced powertrain energy efficiency under low-torque operating conditions. This issue can be mitigated by torque modulation, i.e., alternating driver torque demand between zero and an appropriate value. This paper aims to maximize the efficiency improvement of torque modulation and investigate its potential in two powertrain topologies: single and dual motor powertrains. To this end, optimal modulation strategies are proposed for both powertrains, considering overall powertrain energy losses and specific powertrain characteristics. Additionally, the adverse impact on driver comfort and powertrain durability due to the pulsating torque is examined. The results suggest that the proposed optimal modulation strategies can enhance powertrain efficiency while maintaining acceptable levels of driver comfort and powertrain durability. In addition, complementary modulation and torque distribution can be applied in the dual motor powertrain to provide further energy-saving potential and reduced impact on driver comfort. © 2024 The Authors

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 18, article id 100289
Keywords [en]
Battery electric vehicle; Battery-electric vehicles; Driver comfort; Dual-motors; Efficiency improvement; Energy; Modulation strategy; Modulation techniques; Operating condition; Torque modulation
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Production Technology; Work-Integrated Learning
Identifiers
URN: urn:nbn:se:hv:diva-22675DOI: 10.1016/j.treng.2024.100289Scopus ID: 2-s2.0-85208925878OAI: oai:DiVA.org:hv-22675DiVA, id: diva2:1917054
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Available from: 2024-11-29 Created: 2024-11-29 Last updated: 2025-09-30Bibliographically approved

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