Research on path planning of electric tractor based on improved ant colony algorithm

Liang, Chuandong; Lü, Min

doi:10.1109/icems56177.2022.9983170

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…The study of electric tractors and the different aspects of the technology of such vehicles have been the subject of various papers [7][8][9][10][11][12][13]. The authors of [7] designed a small autonomous electric tractor with induction motors powered by Li-ion batteries.…”

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confidence: 99%

“…Some of the problems that have to be addressed are environmental conditions for the operation of the tractor (dust, moisture, humidity) or the large size and mass of battery and fuel cells. Another interesting paper [13] presented a path-planning algorithm for an electric tractor that increases energy efficiency, by reducing the energy losses and optimizing the work path of the tractor. They claimed that, compared to other algorithms present in the literature, their method reduces the energy loss by 18% to 28%.…”

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confidence: 99%

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Optimization of the Electronic Control Unit of Electric-Powered Agricultural Vehicles

Vasile,

Tudor,

Sburlan

et al. 2023

WEVJ

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Agricultural vehicles, such as tractors, combines, and harvesters, are following the trend of commercial vehicles with a transition from diesel to electric propulsion. Seen as an integrated system, a full-electric tractor is a complex machine with many systems that have to be interconnected for efficient functionality; thus, the need for a central control unit arises. The purpose of this article is to present an electronic control unit that interconnects the powertrain, the hydraulic systems, and the auxiliary systems of a full-electric tractor, with an emphasis on optimization through software design. The article describes the hardware of the electronic control unit and the software state diagrams necessary to implement the functions required by the electric tractor. The results of this article show how, through software optimization, the performances of the tractor can be improved, with parameters such as the response time of the various equipment being a useful indicator of such an improvement. Furthermore, the implementation of trip memory and an easy-to-use human–machine interface allows for easy diagnostic of the electric tractor.

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