Constrained Optimal Planning to Minimize Battery Degradation of Autonomous Mobile Robots
By: Jiachen Li , Jian Chu , Feiyang Zhao and more
Potential Business Impact:
Makes robot batteries last much longer.
This paper proposes an optimization framework that addresses both cycling degradation and calendar aging of batteries for autonomous mobile robot (AMR) to minimize battery degradation while ensuring task completion. A rectangle method of piecewise linear approximation is employed to linearize the bilinear optimization problem. We conduct a case study to validate the efficiency of the proposed framework in achieving an optimal path planning for AMRs while reducing battery aging.
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