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arXiv · 2506.13019

Constrained Optimal Planning to Minimize Battery Degradation of Autonomous Mobile Robots

Jiachen Li·Jian Chu·Feiyang Zhao·Shihao Li·Wei Li·Dongmei Chen
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Abstract

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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Jiachen Li, Jian Chu, Feiyang Zhao, Shihao Li, Wei Li, Dongmei Chen. 2025-06-16. Constrained Optimal Planning to Minimize Battery Degradation of Autonomous Mobile Robots. https://arxiv.org/abs/2506.13019

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