Battery Module Overtemperature Detection via Daisy-Chain Notification
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Solution Overview
Problem
Large-scale storage battery systems require advanced monitoring and safety supervision to manage overtemperature and overvoltage conditions effectively, especially in high-voltage and high-power applications like mass transportation, where existing systems lack robust and reliable detection and shutdown mechanisms.
Innovation Solution
A battery module configuration with multiple overtemperature/overvoltage detecting units connected in daisy chains, communicating with a safety supervisor unit to independently detect and notify abnormal states, and control contactors to shut off power, ensuring reliable detection and response to prevent damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple overtemperature/overvoltage detecting units are connected in daisy chains for independent detection and notification, then the reliability of abnormal state detection is improved, but the device complexity increases
Solution Approach 1:
The battery system is divided into multiple battery modules, each equipped with independent overtemperature/overvoltage detecting units. These detecting units are further segmented into multiple systems within each module, allowing distributed detection across the entire battery system. This segmentation enables each unit to independently monitor its local conditions while maintaining system-wide reliability through the daisy-chain communication network.
Solution Approach 2:
The detecting units are configured to mutually notify one another of detection results through daisy-chain communication. This feedback mechanism allows each detecting unit to receive information from other units and operate on the assumption that others are functioning normally unless notified otherwise. The feedback loop ensures that abnormal states are quickly communicated throughout the system, triggering appropriate protective actions.
2Reliability
If the system shuts off power automatically upon detecting abnormal states, then the safety and damage prevention are improved, but the loss of time for normal operation increases
Solution Approach 1:
The system performs preliminary detection and notification through the daisy-chain communication network before actual damage occurs. By having detecting units mutually notify each other of abnormal states in advance, the system can trigger protective shutdowns before thermal runaway or other catastrophic failures develop. This preliminary action allows for controlled shutdowns that prevent damage while minimizing unnecessary operational interruptions.
Solution Approach 2:
The battery management system is designed to autonomously detect, communicate, and respond to abnormal states without requiring external intervention. The detecting units automatically notify each other and trigger shutdown sequences when abnormalities are detected, enabling the system to self-protect against damage. This self-service capability ensures rapid response to safety issues while maintaining operational continuity during normal conditions.
Data Source
AI summary
A battery module includes: a battery cell unit including a plurality of battery cells connected together in series or series-parallel; a cell monitoring unit configured to monitor temperatures and voltages of the battery cells; and a plurality of overtemperature/overvoltage detecting units of n systems (n: an integer greater than or equal to 2). The overtemperature/overvoltage detecting units of the n systems are configured to independently detect an overtemperature or an overvoltage of the battery cells as an abnormal state, and to mutually notify one another of results of the detection. Each of the overtemperature/overvoltage detecting units is configured to, upon being notified that the abnormal state is detected from another overtemperature/overvoltage detecting unit of another system in the battery module, operate on the assumption that the overtemperature/overvoltage detecting unit detects the abnormal state.