Constrained Optimal Planning to Minimize Battery Degradation of Autonomous Mobile Robots
Fuente:
arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866909649957027840 |
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| author | Li, Jiachen Chu, Jian Zhao, Feiyang Li, Shihao Li, Wei Chen, Dongmei |
| author_facet | Li, Jiachen Chu, Jian Zhao, Feiyang Li, Shihao Li, Wei Chen, Dongmei |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_13019 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Constrained Optimal Planning to Minimize Battery Degradation of Autonomous Mobile Robots Li, Jiachen Chu, Jian Zhao, Feiyang Li, Shihao Li, Wei Chen, Dongmei Robotics Systems and Control 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. |
| title | Constrained Optimal Planning to Minimize Battery Degradation of Autonomous Mobile Robots |
| topic | Robotics Systems and Control |
| url | https://arxiv.org/abs/2506.13019 |