Multi-resolution energy strategy for battery management system of unmanned ground vehicles in agriculture

Yanan Wang, Peng Wang, Junwei Tian, Xiaozhong Liao, Haoyu Niu, Yangquan Chen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper has proposed a multi-resolution energy strategy for battery management system (BMS) of unmanned ground vehicles (UGVs) in farming. On the basis of”Smart Farm” definition, battery energy consumption and management have been taken into consideration during the working process and system control. A battery energy controller has been proposed for the low-cost($1000) UGVs designed by our lab for farming usage. Moreover, three levels of energy control loops have been developed, that is, motor control, path planning, and mission arrangement. In this way, an energy-efficient UGV can prolong its working time and also decrease the cost. The three closed-loop energy strategy of BMS provides not only separate working methods for the three levels, but also a weights way to adjust the influence of three levels on the performance of the UGV in different tasks.

Original languageEnglish
Title of host publication15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791859292
DOIs
Publication statusPublished - 2019
EventASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019 - Anaheim, United States
Duration: 18 Aug 201921 Aug 2019

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume9

Conference

ConferenceASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019
Country/TerritoryUnited States
CityAnaheim
Period18/08/1921/08/19

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