Downsizing of Electric Motors by Utilizing Differential Gear for Traction and Hydraulic Pump of Heavy Mobile Machine

Heavy mobile machines should be productive and energy efficient. Electrification drives and enables the design of new solutions that can outperform older technologies. While components of heavy mobile machines should be as small, inexpensive, and reliable as possible, all components should also be utilized extensively to maximize space usage. This is achieved through proper sizing and multifunctional use of components. In this paper, a novel utilization of a differential gear mechanism is proposed to couple two electric motors and a hydraulic pump. The analysis focuses on the simultaneous operation of a traction drive and working hydraulics in a wheel loader application. Simulations utilizing a recorded driving cycle are used to analyze the torque distribution of the electric motors. The performance of the coupling system is compared to a reference system where the electric motors are separated and working independently. The results indicate that the differential dual-motor system can easily reduce the torque demand of the traction motor by 20 percent in an uphill section, and also significantly reduce the torque demand during simultaneous operation compared to the reference system. However, the energy efficiency of the proposed system decreased by 4 percent in simultaneous operation compared to the reference system.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2024-12-23
DOI
https://doi.org/10.1109/access.2024.3521500
Citations
1
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Downsizing of Electric Motors by Utilizing Differential Gear for Traction and Hydraulic Pump of Heavy Mobile Machine

Jari Vepsäläinen, Topias Tyni
1 citations
IEEE Access
Sensorless Control of Electric Motors
0.21
article

Downsizing of Electric Motors by Utilizing Differential Gear for Traction and Hydraulic Pump of Heavy Mobile Machine

Jari Vepsäläinen, Topias Tyni
article en
1 citations

Abstract

Heavy mobile machines should be productive and energy efficient. Electrification drives and enables the design of new solutions that can outperform older technologies. While components of heavy mobile machines should be as small, inexpensive, and reliable as possible, all components should also be utilized extensively to maximize space usage. This is achieved through proper sizing and multifunctional use of components. In this paper, a novel utilization of a differential gear mechanism is proposed to couple two electric motors and a hydraulic pump. The analysis focuses on the simultaneous operation of a traction drive and working hydraulics in a wheel loader application. Simulations utilizing a recorded driving cycle are used to analyze the torque distribution of the electric motors. The performance of the coupling system is compared to a reference system where the electric motors are separated and working independently. The results indicate that the differential dual-motor system can easily reduce the torque demand of the traction motor by 20 percent in an uphill section, and also significantly reduce the torque demand during simultaneous operation compared to the reference system. However, the energy efficiency of the proposed system decreased by 4 percent in simultaneous operation compared to the reference system.

IEEE AccessVol. 13
Aalto University (FI)
Affordable and clean energy
Openalex Percentile: Top 45%
Sensorless Control of Electric Motors
0.21
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.