Battery Degradation Tracking for Real-Time Operating Control
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Solution Overview
Problem
Existing battery management systems fail to optimize battery operation effectively, leading to underutilization or overutilization, resulting in inefficient use and accelerated degradation.
Innovation Solution
A system and method that utilizes a computing system with a model, state estimator, and controller to track battery states and predict degradation, providing real-time optimized operation parameters based on historical data and fleet information to achieve a target degradation curve.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing battery management systems operate without degradation tracking, then device complexity is reduced, but battery utilization efficiency deteriorates leading to underutilization or overutilization
Solution Approach 1:
The system continuously monitors battery state parameters (state of charge, temperature, current) and compares actual degradation against predicted degradation curves. This feedback loop enables real-time adjustment of operating parameters to maintain optimal battery utilization while preventing overutilization, directly resolving the contradiction between improved productivity and increased complexity.
Solution Approach 2:
The system pre-establishes target degradation curves and predicted degradation models before battery operation begins. By having these reference trajectories prepared in advance, the system can quickly compare actual performance against predicted performance without complex real-time calculations, improving battery utilization efficiency while keeping the control system relatively simple.
2Reliability
If battery operation is optimized without degradation prediction, then operational costs increase due to accelerated degradation, but measurement precision requirements are reduced
Solution Approach 1:
The system replaces complex physical degradation monitoring with a computational approach using degradation models and curves. Instead of requiring precise physical measurements of degradation, the system uses electrical parameters (voltage, current, temperature) combined with predictive algorithms to estimate and control degradation, extending battery life while avoiding the need for sophisticated measurement systems.
Solution Approach 2:
The system introduces degradation curves and prediction models as intermediary elements between direct battery operation and degradation outcomes. These intermediaries translate complex degradation processes into manageable reference trajectories, enabling reliable battery life extension through controlled comparison of actual versus predicted degradation without requiring direct precise measurement of degradation itself.
3Productivity
If real-time degradation tracking is implemented, then battery operation optimization improves, but loss of information increases due to extensive data processing requirements
Solution Approach 1:
The system extracts only the essential features needed for degradation assessment from raw battery data, focusing on key parameters like state of charge, temperature, and current profiles. By extracting only the relevant information needed for comparison against degradation curves, the system achieves effective operation optimization while minimizing the data processing burden and preventing information loss.
4Duration of action of moving object
If fleet information is aggregated for optimization, then overall battery lifetime improves, but device complexity increases due to fleet-wide coordination requirements
Solution Approach 1:
The system uses a universal degradation model and target degradation curve framework that can be applied across entire battery fleets with consistent methodology. By establishing fleet-wide degradation targets and using standardized prediction models, the system extends overall battery lifetime across multiple units while avoiding the complexity of customized coordination protocols for each individual battery.
Data Source
AI summary
A method can include receiving battery sensor measurements, determining a state of the battery (e.g., SoH, SoC, SoE, SoP, etc. or information correlated therewith such as internal resistance, open circuit voltage, etc.), estimating an aging profile or degradation of the battery for one or more operating conditions, and determining operating conditions for the battery based on the estimated degradation.