Advanced Battery Management and Control in Autonomous Mobile Robots
Mobile robots are emerging as the backbone of numerous industrial and civilian systems where human intervention is deemed risky. Their performance and reliability rely heavily on the battery management and control. Inaccurate modeling and estimation of battery behaviors may result in inappropriate battery operation, such as premature battery failures and degradation. These factors may in turn lead to immobilization of the robot during the mission. In recent decades, advanced battery management and control has attracted considerable attention from various communities. However, battery management in mobile robots has not drawn sufficient attentions and is typically addressed by setting simple battery operating thresholds. Consequently, no risk evaluation of the battery depletion has been considered during the charge scheduling. This invited session aims at attracting researchers and engineers whose scientific interests reside in the management and control of lithium-ion batteries, with special application in autonomous mobile robots. The main objective is to provide timely solutions and technical merits for the management and control of batteries in mobile robots.
Topics of interest will be focused on, but not limited to:
- Modeling, estimation, control, and optimization for lithium-ion batteries;
- Evaluation and prediction of risks of battery depletion for mobile robots;
- Battery health/ageing modeling, diagnosis and prognostics;
- Battery charge scheduling in autonomous mobile robots;
- Optimal, fast, health-aware charging, balancing control, etc;
- Failure detection and fault tolerance control in battery management;
- Application of machine learning and artificial intelligence on battery management and control issues;
This invited session is sponsored by the IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2020.
- Full Draft Paper Submission:
- Notification of Acceptance:
- Final Paper Submission:
- Dr. Guangzhong Dong, Chalmers University of Technology, Sweden, firstname.lastname@example.org
- Dr. Weiji Han, Chalmers University of Technology, Sweden, email@example.com