Motion-Specific Battery Health Assessment for Quadrotors Using High-Fidelity Battery Models
🤖 AI Summary
This work proposes a motion-aware battery health management paradigm that addresses the limitations of traditional energy-aware planning, which treats batteries as static energy reservoirs and overlooks the dynamic impact of transient currents induced by flight maneuvers on battery degradation. For the first time, the study explicitly links the transient current signatures of aerial maneuvers to intrinsic battery aging mechanisms—such as loss of lithium inventory and loss of active material. An end-to-end evaluation framework is developed through wide-range current sensing, a high-fidelity electrochemical-degradation coupled model, and metaheuristic parameter calibration. Experimental results demonstrate that even with identical average energy consumption, distinct flight trajectories lead to significantly different aging pathways due to variations in transient load profiles, thereby validating the necessity and efficacy of the proposed approach.
Application Category
📝 Abstract
Quadrotor endurance is ultimately limited by battery behavior, yet most energy aware planning treats the battery as a simple energy reservoir and overlooks how flight motions induce dynamic current loads that accelerate battery degradation. This work presents an end to end framework for motion aware battery health assessment in quadrotors. We first design a wide range current sensing module to capture motion specific current profiles during real flights, preserving transient features. In parallel, a high fidelity battery model is calibrated using reference performance tests and a metaheuristic based on a degradation coupled electrochemical model.By simulating measured flight loads in the calibrated model, we systematically resolve how different flight motions translate into degradation modes loss of lithium inventory and loss of active material as well as internal side reactions. The results demonstrate that even when two flight profiles consume the same average energy, their transient load structures can drive different degradation pathways, emphasizing the need for motion-aware battery management that balances efficiency with battery degradation.
Problem
Research questions and friction points this paper is trying to address.
battery degradation
quadrotor
motion-specific current loads
battery health assessment
dynamic current profiles
Innovation
Methods, ideas, or system contributions that make the work stand out.
motion-aware battery health
high-fidelity battery model
transient current profiling
degradation-coupled electrochemical model
quadrotor energy management
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