TY - GEN
T1 - Multi-Vehicle Charge Scheduling and Routing with a Mobile Charging Host
AU - Goulet, Nathan
AU - Ayalew, Beshah
AU - Castanier, Matthew
AU - Skowronska, Annette
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Teams of unmanned (aerial and/or ground) vehicles offer opportunities to extend mission or task capabilities and safety within resource constrained environments. For large scale missions, covering large areas and/or a long span of time, these teams are limited by the individual vehicle's range. To extend the overall team range in situations where fixed refueling/recharging stations are not feasible or cost effective, we propose incorporating a mobile charging host vehicle into the team of unmanned vehicles. We build on variants of the vehicle routing problem to pose the corresponding charge scheduling and routing problem. Therein, we update the mission plan for worker vehicles by incorporating rendezvous with a mobile charging host in order to optimize total team energy utilization, while minimizing mission delay and accounting for variable power charging protocols. Compared to a rule-based charge scheduler, our proposed optimization scheme realizes up to an 8% reduction in energy consumption and upwards of a 60% reduction in mission delay.
AB - Teams of unmanned (aerial and/or ground) vehicles offer opportunities to extend mission or task capabilities and safety within resource constrained environments. For large scale missions, covering large areas and/or a long span of time, these teams are limited by the individual vehicle's range. To extend the overall team range in situations where fixed refueling/recharging stations are not feasible or cost effective, we propose incorporating a mobile charging host vehicle into the team of unmanned vehicles. We build on variants of the vehicle routing problem to pose the corresponding charge scheduling and routing problem. Therein, we update the mission plan for worker vehicles by incorporating rendezvous with a mobile charging host in order to optimize total team energy utilization, while minimizing mission delay and accounting for variable power charging protocols. Compared to a rule-based charge scheduler, our proposed optimization scheme realizes up to an 8% reduction in energy consumption and upwards of a 60% reduction in mission delay.
UR - http://www.scopus.com/inward/record.url?scp=85173874480&partnerID=8YFLogxK
U2 - 10.1109/CCTA54093.2023.10253163
DO - 10.1109/CCTA54093.2023.10253163
M3 - Conference contribution
AN - SCOPUS:85173874480
T3 - 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
SP - 103
EP - 109
BT - 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
Y2 - 16 August 2023 through 18 August 2023
ER -