Insulation Fault Detection Reliability in Electric Power Systems
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Solution Overview
Problem
Existing methods for detecting electrical insulation faults in electric vehicles incorrectly identify measurement errors, leading to potentially dangerous situations and an inability to precisely locate faults within the accumulator battery.
Innovation Solution
A detection method that includes a controllable voltage generator and an electrical measurement resistor connected in series between an electrical power source and ground, with a computer that determines two parameters characteristic of disturbances affecting fault detection and calculates a reliability level for the detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voltage measurements are performed to detect electrical insulation faults, then fault detection capability is improved, but false detection of measurement errors increases
Solution Approach 1:
The invention changes the parameter being measured from voltage to current. By measuring the current circulating through the measurement resistor instead of voltage, the system achieves more reliable fault detection while eliminating false detection errors. This parameter transformation fundamentally resolves the contradiction between detection capability and measurement accuracy.
2Reliability
If detection time bands are extended to ensure measurement accuracy, then measurement reliability is improved, but response time to faults decreases
Solution Approach 1:
The invention replaces the mechanical/waiting approach of extending measurement time bands with an electrical/current-based measurement system. By measuring current instead of waiting for voltage stabilization, the system achieves both high reliability and fast response time simultaneously, eliminating the trade-off between these parameters.
3Reliability
If general insulation fault detection is implemented, then safety monitoring is improved, but precise location of faults within battery cells is lost
Solution Approach 1:
The invention applies segmentation by analyzing current distribution across different battery cell groups. By measuring current through measurement resistors associated with specific cell groups and comparing these currents, the system can both detect insulation faults and precisely locate which cell group is affected, thereby recovering the fault location information that would otherwise be lost.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method effectively reduces false detection of electrical insulation faults by assessing the reliability of the detection based on the calculated parameters, allowing for more accurate identification of faults and their location within the battery.
Implementation Method 1
controlling the voltage generator (41) in such a way that it establishes, between its terminals, a voltage of non-zero value
Implementation Method 2
an electrical measurement resistor (43) connected in series between a terminal of the electrical power source and the electrical ground
Data Source
AI summary
A method detects an electrical insulation fault between an electric power source and an electrical ground, via a circuit that includes a controllable voltage generator and an electrical measuring resistor connected in series between a terminal of the electric power source and the electrical ground. The method includes controlling the voltage generator to establish, between its terminals, a non-zero voltage value, and measuring the voltage at the terminals of the electrical measuring resistor to detect an electrical insulation fault between the electric power source and the electrical ground. The method further includes a computer determining, depending at least on the voltage measured at the terminals of the electrical measuring resistor, at least two parameters characteristic of a disturbance affecting the detection of the electrical insulation fault, and calculating a reliability level of the detection of the electrical insulation fault depending on at least one of the two parameters.