Lithium Battery Abnormality Detection via SOC Current Response
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Solution Overview
Problem
Current methods for detecting abnormality in lithium-ion batteries are subjective, inefficient, and pose safety hazards due to the need for disassembly, leading to errors and increased resource consumption.
Innovation Solution
A method and device that non-destructively detect abnormality in lithium-ion batteries by changing the charge current at arbitrary State of Charge (SOC) values and analyzing response signals, such as voltage variations, to determine battery health without disassembly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the battery is disassembled for visual inspection, then abnormality can be identified, but safety hazards increase and operation becomes complicated
Solution Approach 1:
The patent replaces the mechanical disassembly process with an electrical measurement system. By applying test currents and measuring voltage responses, the system detects internal battery abnormalities without physical disassembly, thereby eliminating safety hazards associated with handling disassembled batteries while maintaining detection accuracy
Solution Approach 2:
The patent introduces an intermediary detection system that uses electrical signals as a mediator between the external testing equipment and the battery's internal state. This intermediary approach allows indirect observation of battery health through voltage responses to current inputs, avoiding direct physical intervention that would require disassembly
2Measurement precision
If the battery is disassembled for inspection, then abnormality can be detected, but labor resources and physical resources increase
Solution Approach 1:
The patent replaces manual disassembly and visual inspection with an automated electrical measurement system. The system automatically applies test currents, measures voltage responses, and processes data to detect abnormalities, eliminating the need for labor-intensive manual operations and significantly improving detection efficiency
Solution Approach 2:
The detection system performs self-measurement by automatically applying test signals and recording responses without requiring external manual intervention. The system independently completes the entire detection process from signal application to data analysis, reducing both labor resources and operational complexity
3Ease of operation
If subjective judgment is used for abnormality identification, then detection can be performed, but errors increase and efficiency decreases
Solution Approach 1:
The patent implements an objective feedback mechanism where the system measures voltage responses to applied currents and compares them against expected values or thresholds. This quantitative feedback approach replaces subjective human judgment with automated decision-making based on measured electrical parameters, eliminating human error while maintaining operational simplicity
Solution Approach 2:
The patent substitutes human sensory and cognitive processes with automated electrical measurement and data processing systems. The system objectively determines battery status based on voltage-current relationships rather than relying on human visual inspection and subjective interpretation, thereby improving accuracy while keeping the operation simple
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
This approach simplifies the detection process, reduces errors, and enhances accuracy by using automatically generated response signals, allowing for real-time abnormality detection during the charge process, thereby preventing safety hazards.
Implementation Method 1
changing a value of a charge current at a time point corresponding to an arbitrary SOC value, and obtaining a response signal within a time period of maintaining the changed charge current
Data Source
AI summary
Embodiments of this application provide a method and a device for detecting abnormality of a lithium battery, a battery management system, and a battery system. The method includes: obtaining a SOC value of the lithium battery in a charge process, where the SOC value is a ratio of a remaining capacity of the battery to a nominal capacity of the battery; changing a value of a charge current at a time point corresponding to an arbitrary SOC value, and obtaining a response signal within a time period of maintaining the changed charge current; and determining, based on response signals at time points corresponding to a plurality of SOC values, whether the lithium battery is abnormal. The method can implement non-destructive detection of abnormality of a lithium-ion battery, simplify operation, and achieve relatively high accuracy.