Remote Thermal Runaway Control for Lithium-Ion Battery Fires
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Solution Overview
Problem
Lithium ion batteries are prone to thermal runaway due to thermal, electrical, or mechanical abuse, leading to irreversible temperature increases, decomposition of electrolytes, and potential explosions, posing safety hazards for personnel who must intervene physically.
Innovation Solution
A remote thermal runaway solution system using a user terminal, monitoring terminals, and thermal-runaway solving devices that receive monitoring data on temperature, gas concentrations, and luminance, generating alerts and controlling thermal-runaway solving devices to mitigate the issue without requiring personnel to be physically present.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If staff physically intervene to solve thermal runaway, then the battery fire can be directly addressed, but the staff is exposed to harmful gases and cannot safely control the fire in close distance
Solution Approach 1:
The patent introduces a remote solving system that acts as an intermediary between the operator and the thermal runaway incident. The system includes monitoring terminals that detect temperature, gas concentration, and video information, a server that processes this data and determines accident types, and solving devices that execute suppression actions. This intermediary system enables operators to control fire suppression remotely without direct exposure to harmful gases, while still maintaining the ability to address the battery fire effectively.
Solution Approach 2:
The patent replaces the mechanical approach of direct physical intervention with an automated remote system. Instead of staff manually approaching and controlling fire suppression, the system uses monitoring terminals to detect thermal runaway conditions, a server to analyze data and determine accident types, and solving devices to automatically execute suppression actions. This substitution eliminates the need for staff to be in close proximity to the hazard while maintaining fire control capability.
2Reliability
If staff closely observe battery working state to avoid accidents, then safety can be monitored, but the staff cannot safely intervene when accidents occur due to rapid combustion and harmful gases
Solution Approach 1:
The remote solving system serves as an intermediary that enables safe intervention. Monitoring terminals continuously observe battery working state and detect thermal runaway conditions, then transmit data to a server that determines accident types. When intervention is needed, the system remotely activates solving devices without requiring staff to approach the hazard, thus maintaining safety monitoring capability while eliminating exposure risks during intervention.
Solution Approach 2:
The system enables self-service monitoring and intervention capability. The monitoring terminals automatically detect thermal runaway conditions, the server autonomously determines accident types based on detected parameters, and solving devices automatically execute suppression actions. This self-service approach maintains continuous safety monitoring while eliminating the need for staff to physically intervene in hazardous conditions.
3Measurement precision
If multiple monitoring parameters are detected to accurately identify accident type, then precise thermal runaway solution can be provided, but the system complexity increases
Solution Approach 1:
The monitoring terminal is designed as a multi-functional universal device that simultaneously performs temperature detection, gas concentration detection, and video monitoring. By consolidating multiple detection functions into a single integrated terminal, the system achieves precise accident type identification through multiple parameters while minimizing the increase in overall system complexity. The server then processes this multi-parameter data to determine accident types and provide precise thermal runaway solutions.
Data Source
AI summary
A method for remotely solving thermal runaway and related products are provided in implementations of the disclosure. The method is applied to a user terminal in a system for remotely solving thermal runaway, and include the following. At least one monitoring datum transmitted by at least one monitoring terminal and related to at least one energy-storage device is received at a preset frequency. When at least one of the at least one monitoring datum is greater than a threshold, an energy-storage device related to the at least one of the at least one monitoring datum is determined as a target energy-storage device. An accident type of the target energy-storage device is determined according to the at least one of the at least one monitoring datum, a first prompt message is generated, and the first prompt message is presented to a user in multiple manners.