Research and Development of Powertrain of Bionic Mobile Rechargeable Material Truck

In order to facilitate the transportation of corn stalks and material resources, this paper designed a remote-control transport vehicle for one-time transportation of corn cobs, corn stalks, corn leaves, corn cobs and corn stalks. Its function is to avoid obstacles, and remotely operate through Bluetooth or wireless mode, feedback the working status and task progress of the car in real time, and automatically identify the path and transport materials to the specified destination. Through CATIA modeling, the motion simulation is carried out by ADAMS, and the rationality of the design is confirmed by finite element analysis of the stressed structural parts.

Authors

Publication Details

Journal
Frontiers in Computing and Intelligent Systems
Published
2024-11-28
DOI
https://doi.org/10.54097/ba957w68
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Research and Development of Powertrain of Bionic Mobile Rechargeable Material Truck

Zhenpeng Bai, Zhiyuan Hou, Yang Liu
Frontiers in Computing and Intelligent Systems
Electric and Hybrid Vehicle Technologies
article

Research and Development of Powertrain of Bionic Mobile Rechargeable Material Truck

Zhenpeng Bai, Zhiyuan Hou, Yang Liu
article en

Abstract

In order to facilitate the transportation of corn stalks and material resources, this paper designed a remote-control transport vehicle for one-time transportation of corn cobs, corn stalks, corn leaves, corn cobs and corn stalks. Its function is to avoid obstacles, and remotely operate through Bluetooth or wireless mode, feedback the working status and task progress of the car in real time, and automatically identify the path and transport materials to the specified destination. Through CATIA modeling, the motion simulation is carried out by ADAMS, and the rationality of the design is confirmed by finite element analysis of the stressed structural parts.

Frontiers in Computing and Intelligent SystemsVol. 10(2)
Openalex Percentile: Top 77%
Electric and Hybrid Vehicle Technologies
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