用于边境监视任务的地面无人驾驶车辆的智能能源管理系统
João F P Fernandes1, Mário Assunção2, Daniel Serrano3
1IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal. joao.f.p.fernandes@tecnico.ulisboa.pt.
Scientific reports
|July 3, 2025
概括
这项研究提高了使用智能能源管理系统 (SEMS) 和太阳能发电进行边境监视的海上无人地面车辆 (USV) 范围. SEMS优化了路径和速度,使任务范围延长了高达50%.
科学领域:
- 海洋机器人 海洋机器人
- 自主系统 自主系统
- 能源管理 能源管理
背景情况:
- 无人驾驶地面车辆 (USV) 对于远程边境监视至关重要,但其操作范围有限.
- 小规模和缺乏机上飞行员限制了USV任务的持续时间和覆盖范围.
- 扩大USV范围对于有效和持续的监控行动至关重要.
研究的目的:
- 开发和验证一种方法来扩大海洋USV的作战范围.
- 将智能能源管理系统 (SEMS) 与光伏电池板集成,以提高USV耐用性.
- 通过考虑环境条件和能源消耗,优化USV任务规划.
主要方法:
- 实施一个与电力推进和光伏电池板相结合的SEMS.
- 开发了一种具有概率行为的新型A星算法,用于最佳的路径寻找和能源减少.
- 在各种环境条件下,在USV原型上对集成系统进行现实测试.
主要成果:
- 基于预测的,时间变化的环境条件,SEMS成功地规划了任务配置文件.
- 综合系统证明了USV任务范围的显著扩展,高达50%.
- 概率性A星算法有效地避免了局部最小值,从而降低了能源消耗.
结论:
- 拟议的方法有效地扩大了USV监控应用的任务范围.
- 集成SEMS和光伏电池板是提高自动驾驶船用车辆耐久性的可行策略.
- 考虑环境因素的优化路径规划是最大限度地提高USV运营能力的关键.
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