MSD Fuse Life Estimation Using Current Event Counting
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Solution Overview
Problem
The service life of fuses in manual service disconnect (MSD) systems associated with battery systems is difficult to accurately predict, which can lead to unexpected loss of vehicle power if not replaced in time.
Innovation Solution
A current event counting-based method using weighted time data buckets is employed to estimate the service life of MSD fuses, considering characteristics of the fuse material, maximum allowable operation duration, and actual durability tests, along with crest and form factors to account for peak current events and vehicle operation habits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to predict fuse service life, then the prediction is simple, but the accuracy is low leading to unexpected power loss
Solution Approach 1:
The patent replaces conventional simple timing-based fuse life prediction with an electronic monitoring system that uses current sensors, microcontrollers, and data processing algorithms. This substitution of mechanical/simple methods with electronic/measurement-based systems enables accurate real-time tracking of fuse degradation based on actual current exposure, resolving the contradiction between simplicity and accuracy.
Solution Approach 2:
The system continuously monitors current through the fuse, accumulates exposure data, and provides feedback about remaining fuse life to the vehicle system. This feedback mechanism allows dynamic adjustment and accurate prediction of fuse service life based on actual operating conditions, transforming static conventional prediction into a dynamic accurate monitoring system.
2Productivity
If vehicle performance is enhanced without upgrading the MSD fuse, then cost is reduced, but the fuse may reach end of service life sooner
Solution Approach 1:
The system performs preliminary monitoring and tracking of fuse exposure before the fuse actually fails. By continuously accumulating current exposure data and predicting remaining life, the system enables proactive maintenance scheduling and early warning, allowing the vehicle to operate at enhanced performance levels while maintaining fuse reliability through advance detection and replacement planning.
Data Source
AI summary
System and methods for estimating a state if a fuse are presented. In some embodiments, the disclosed systems and methods may be utilized in connection with estimating a state of a fuse associated with a manual service disconnect associated with an energy storage system included in a vehicle. Consistent with embodiments disclosed herein, a current event counting-based method utilizing one or more weighted time data buckets associated with various current levels may be used in connection with estimating MSD fuse life. In some embodiments, a MSD fuse end-of-service life signal may be triggered when a total time associated in the weighted time data buckets exceed a threshold value.