Comprehensive Gear Shift Schedule of Heavy-Duty Commercial Electric Trucks Based on Dual Axle Driving

<div class="section abstract"><div class="htmlview paragraph">A heavy-duty commercial electric truck is equipped with dual axles, with the middle axle driven by an electric motor and a three-speed transmission and the rear axle driven by an electric motor and a two-speed transmission. To consider the dynamic and economy performance of the whole vehicle, as well as the gear distribution characteristics in the vehicle operation, a comprehensive shifting schedule based on the cross-particle swarm algorithm is proposed. By establishing the longitudinal dynamics model of the truck, the optimal power shift schedule and the optimal economics shift schedule of each of the two transmissions are studied. Under the standard test conditions, an optimal gear control strategy based on the dynamic programming algorithm considering the shift interval is proposed, and the shift schedule for the standard conditions is derived through the hierarchical clustering method. Furthermore, with 0-100 km/h acceleration capability and specific energy consumption as the objectives, a comprehensive shift schedule optimization model is established, and the comprehensive shift schedule curve is obtained by solving the cross-particle swarm algorithm. MATLAB\Simulink is used for vehicle modeling and simulation test condition design to compare and analyze the dynamic performance and economy performance of the four types of gear shift schedules. The results show that the comprehensive shift schedule can be close to the optimal dynamics shift schedule in terms of dynamic performance while exhibiting good economy performance simultaneously, which can also run in real-time without relying on the overall operating conditions.</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-03-31
DOI
https://doi.org/10.4271/2025-01-8510
Citations
1
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.68
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article

Comprehensive Gear Shift Schedule of Heavy-Duty Commercial Electric Trucks Based on Dual Axle Driving

Jun Guo, Yunqing Zhang, Jinglai Wu
1 citations
SAE technical papers on CD-ROM/SAE technical paper series
Electric and Hybrid Vehicle Technologies
0.68
article

Comprehensive Gear Shift Schedule of Heavy-Duty Commercial Electric Trucks Based on Dual Axle Driving

Jun Guo, Yunqing Zhang, Jinglai Wu
article en
1 citations

Abstract

<div class="section abstract"><div class="htmlview paragraph">A heavy-duty commercial electric truck is equipped with dual axles, with the middle axle driven by an electric motor and a three-speed transmission and the rear axle driven by an electric motor and a two-speed transmission. To consider the dynamic and economy performance of the whole vehicle, as well as the gear distribution characteristics in the vehicle operation, a comprehensive shifting schedule based on the cross-particle swarm algorithm is proposed. By establishing the longitudinal dynamics model of the truck, the optimal power shift schedule and the optimal economics shift schedule of each of the two transmissions are studied. Under the standard test conditions, an optimal gear control strategy based on the dynamic programming algorithm considering the shift interval is proposed, and the shift schedule for the standard conditions is derived through the hierarchical clustering method. Furthermore, with 0-100 km/h acceleration capability and specific energy consumption as the objectives, a comprehensive shift schedule optimization model is established, and the comprehensive shift schedule curve is obtained by solving the cross-particle swarm algorithm. MATLAB\Simulink is used for vehicle modeling and simulation test condition design to compare and analyze the dynamic performance and economy performance of the four types of gear shift schedules. The results show that the comprehensive shift schedule can be close to the optimal dynamics shift schedule in terms of dynamic performance while exhibiting good economy performance simultaneously, which can also run in real-time without relying on the overall operating conditions.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 32%
Electric and Hybrid Vehicle Technologies
0.68
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Comprehensive Gear Shift Schedule of Heavy-Duty Commercial Electric Trucks Based on Dual Axle Driving — Jun Guo, Yunqing Zhang, et al. · SAE technical papers on CD-ROM/SAE technical paper series (2025) | TGRS Research Map | TGRS