Constrained Optimal Planning to Minimize Battery Degradation of Autonomous Mobile Robots

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.

@article{li2025_2506.13019,
  title={ Constrained Optimal Planning to Minimize Battery Degradation of Autonomous Mobile Robots },
  author={ Jiachen Li and Jian Chu and Feiyang Zhao and Shihao Li and Wei Li and Dongmei Chen },
  journal={arXiv preprint arXiv:2506.13019},
  year={ 2025 }
}