Modeling and Control of Electrochemical Power Sources
Abstract
The objective of this proposal is to develop and apply physically based models that bridge from fundamental chemistry, electrochemistry, and transport to system-level applications. Although the fundamental research and physics-based modeling has very broad applicability, the programmatic focus is on applications that assist the development and deployment of relatively small electrochemical power sources, such as for unmanned undersea vehicles (UUVs). The scope emphasizes, but is not limited to, secondary (rechargeable) batteries, fuel cells, and supporting technology. Fundamental physical and chemical models provide the quantitative insight that is needed for effective system design and development. However, the predictive ability of these models depends on numerous physical and chemical properties and parameters that may not be readily available. One objective of the present proposal is to develop the needed macroscale properties from more fundamental analysis at the microscale. In addition to physics-based modeling, the proposed effort develops strategies to incorporate physical knowledge into real-time control decisions. Full physical models (e.g., Li-ion battery packs) can be very large and require substantial computational resources for solution. However, for control purposes such large models can be systematically reduced to linear, low-order, state-space models. The state-space models play important roles in assisting the interpretation of measured electrochemical impedance spectra, in evaluating the system state of health, and in implementing real-time model-predictive control (MPC).
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 30, 2022
- Accession Number
- AD1165532
Entities
People
- Robert J. Kee
Organizations
- Colorado School of Mines