Battery Aging State Determination via Balancing Operation Analysis
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Solution Overview
Problem
Existing methods for determining the aging state of electrical energy storage units are not efficient, as they focus on individual units rather than the overall system and do not account for varying usage patterns, leading to inaccurate capacity assessments and unreliable state of health calculations.
Innovation Solution
A method that determines the aging state of a plurality of electrical energy storage units by analyzing the number of balancing operations, total converted energy quantity, and dispersion of state of charge parameters, utilizing a reference model to account for different utilization behaviors and incorporating these factors into a comprehensive evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If individual unit aging assessment methods are used, then simplicity of implementation is maintained, but measurement precision of overall system aging state deteriorates
Solution Approach 1:
The patent merges the assessment of multiple individual energy storage units into a unified system-level aging evaluation. By combining data from multiple units and performing collective analysis, the system achieves both implementation simplicity and improved measurement precision through aggregated information processing.
Solution Approach 2:
The assessment method is designed to be universally applicable to systems with varying numbers of energy storage units. The same computational framework can evaluate different system configurations, making the method both easy to implement and adaptable to various system scales while maintaining accurate aging state determination.
2Measurement precision
If frequent capacity updates are performed, then accuracy of cruising range display is improved, but loss of time and computational resources increases
Solution Approach 1:
The system performs preliminary aging assessment during normal operation by continuously monitoring state of charge and balancing operations. This preliminary data collection enables subsequent capacity updates to be performed more efficiently with reduced computational burden and time requirements.
Solution Approach 2:
The aging assessment method utilizes existing operational data (state of charge measurements, balancing operation records) that are already collected during normal system operation. By self-service using this existing data infrastructure, the system achieves accurate capacity assessment without requiring additional measurement time or computational resources.
3Reliability
If detailed utilization behavior analysis is incorporated, then reliability of aging assessment is improved, but device complexity increases
Solution Approach 1:
The reference model incorporates detailed utilization behavior analysis only where it significantly impacts aging assessment reliability. By applying detailed analysis locally to critical parameters while using simplified models for less influential factors, the system achieves high reliability without excessive overall complexity.
Data Source
AI summary
A method for determining at least one aging state of a first plurality of electrical energy store units. The method includes: a) ascertaining the number of balancing operations already carried out between the first plurality of electrical energy store units within a predefined first time interval and/or the total converted energy quantity during a balancing operation between the first plurality of electrical energy store units and/or a first measure of dispersion of a particular state of charge-characterizing parameter of the first plurality of electrical energy store units; b) determining the at least one aging state of the first plurality of electrical energy store units as a function of the number of balancing operations already carried out and/or as a function of the total converted energy quantity during a balancing operation and/or as a function of the first measure of dispersion.