Battery Health Management via Segmented State Modules
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Solution Overview
Problem
Existing rechargeable battery systems for aerospace and other applications face significant cost and maintenance challenges due to unexpected failures, which are not adequately addressed by current voltage monitoring systems, leading to economic impacts and logistical issues.
Innovation Solution
A battery health management system that includes a state of health module to predict failure modes by combining flight data with model-based prognostics, a state of life module to determine remaining battery life, and a state of charge module to estimate capacity, using advanced signal processing and diagnostic algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only voltage monitoring is provided in battery systems, then device complexity is reduced, but reliability deteriorates due to unexpected failures
Solution Approach 1:
The battery health management system is segmented into distinct functional modules: state of charge module, state of life module, and state of health module. Each module independently processes specific aspects of battery monitoring, allowing the complex monitoring task to be divided into manageable components that collectively improve reliability without overwhelming system complexity.
Solution Approach 2:
The system performs preliminary diagnostic and prognostic actions by continuously analyzing battery data to predict potential failures before they occur. The state of health module proactively identifies degradation trends and predicts remaining useful life, enabling preventive maintenance before actual failures happen, thus improving reliability.
2Reliability
If advanced health management systems are implemented, then reliability improves through failure prediction, but device complexity increases
Solution Approach 1:
The battery health management unit is designed as a multi-functional system that simultaneously performs state of charge estimation, state of life prediction, and state of health assessment. This universal approach consolidates multiple monitoring functions into a single integrated unit, improving reliability through comprehensive monitoring while managing complexity through functional integration rather than separate systems.
Solution Approach 2:
The system employs self-service mechanisms through automated diagnostic algorithms and prognostic models that continuously analyze battery data without external intervention. The state of health module automatically predicts failures and recommends maintenance actions, reducing the need for complex external monitoring infrastructure and simplifying the overall system architecture.
3Loss of information
If comprehensive battery monitoring is provided, then loss of information is reduced, but measurement precision requirements increase
Solution Approach 1:
The health management unit acts as an intermediary between raw battery measurements and actionable insights. It processes multiple input parameters (voltage, current, temperature, charge cycles) through diagnostic algorithms to generate comprehensive battery status information. This intermediary processing reduces information loss by synthesizing multiple measurements into meaningful diagnostic indicators while managing precision requirements through algorithmic interpretation rather than demanding ultra-precise individual sensors.
Solution Approach 2:
The system transitions from monitoring single-dimension voltage data to multi-dimensional battery characterization by incorporating temporal dimensions (charge cycles, operating time), environmental dimensions (temperature), and operational dimensions (current, discharge rate). This dimensional expansion comprehensively captures battery status without requiring excessive precision in any single measurement, as the system analyzes trends and patterns across multiple dimensions.
Data Source
AI summary
A vehicle includes a body and at least one propulsion unit operatively coupled to the body. The vehicle also includes an electrical power system at least partially disposed within the body. The electrical power system includes a rechargeable battery and a health management unit operatively coupled to the rechargeable battery. The health management unit includes a state of health module configured to output information corresponding to battery health based on received battery-related data. The battery-related data includes data collected in real time operation of the rechargeable battery and battery relevant fault history of the vehicle.