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

doi:10.1115/DETC2019-97666

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

School of Automation

Beijing Institute of Technology
Nanjing Forestry University
Xi'an Technological University
University of California Merced

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Electronic)	9780791859292
DOIs	https://doi.org/10.1115/DETC2019-97666
Publication status	Published - 2019
Event	ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019 - Anaheim, United States Duration: 18 Aug 2019 → 21 Aug 2019

Publication series

Name	Proceedings of the ASME Design Engineering Technical Conference
Volume	9

Conference

Conference	ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019
Country/Territory	United States
City	Anaheim
Period	18/08/19 → 21/08/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1115/DETC2019-97666

Cite this

Wang, Y., Wang, P., Tian, J., Liao, X., Niu, H., & Chen, Y. (2019). Multi-resolution energy strategy for battery management system of unmanned ground vehicles in agriculture. In 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (Proceedings of the ASME Design Engineering Technical Conference; Vol. 9). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2019-97666

Wang, Yanan ; Wang, Peng ; Tian, Junwei et al. / Multi-resolution energy strategy for battery management system of unmanned ground vehicles in agriculture. 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications. American Society of Mechanical Engineers (ASME), 2019. (Proceedings of the ASME Design Engineering Technical Conference).

@inproceedings{ee89b36673be4bb0bf2e9630cc1bce6e,

title = "Multi-resolution energy strategy for battery management system of unmanned ground vehicles in agriculture",

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.",

author = "Yanan Wang and Peng Wang and Junwei Tian and Xiaozhong Liao and Haoyu Niu and Yangquan Chen",

note = "Publisher Copyright: Copyright {\textcopyright} 2019 ASME.; ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019 ; Conference date: 18-08-2019 Through 21-08-2019",

year = "2019",

doi = "10.1115/DETC2019-97666",

language = "English",

series = "Proceedings of the ASME Design Engineering Technical Conference",

publisher = "American Society of Mechanical Engineers (ASME)",

booktitle = "15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications",

address = "United States",

}

Wang, Y, Wang, P, Tian, J, Liao, X, Niu, H & Chen, Y 2019, Multi-resolution energy strategy for battery management system of unmanned ground vehicles in agriculture. in 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications. Proceedings of the ASME Design Engineering Technical Conference, vol. 9, American Society of Mechanical Engineers (ASME), ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019, Anaheim, United States, 18/08/19. https://doi.org/10.1115/DETC2019-97666

Multi-resolution energy strategy for battery management system of unmanned ground vehicles in agriculture. / Wang, Yanan; Wang, Peng; Tian, Junwei et al.
15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications. American Society of Mechanical Engineers (ASME), 2019. (Proceedings of the ASME Design Engineering Technical Conference; Vol. 9).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-resolution energy strategy for battery management system of unmanned ground vehicles in agriculture

AU - Wang, Yanan

AU - Wang, Peng

AU - Tian, Junwei

AU - Liao, Xiaozhong

AU - Niu, Haoyu

AU - Chen, Yangquan

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85076443486

U2 - 10.1115/DETC2019-97666

DO - 10.1115/DETC2019-97666

M3 - Conference contribution

AN - SCOPUS:85076443486

T3 - Proceedings of the ASME Design Engineering Technical Conference

BT - 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications

PB - American Society of Mechanical Engineers (ASME)

T2 - ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019

Y2 - 18 August 2019 through 21 August 2019

ER -

Wang Y, Wang P, Tian J, Liao X, Niu H, Chen Y. Multi-resolution energy strategy for battery management system of unmanned ground vehicles in agriculture. In 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications. American Society of Mechanical Engineers (ASME). 2019. (Proceedings of the ASME Design Engineering Technical Conference). doi: 10.1115/DETC2019-97666

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

Abstract

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UN SDGs

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