CN-122016061-A - Multi-source temperature early warning method and system for lithium ion battery

CN122016061ACN 122016061 ACN122016061 ACN 122016061ACN-122016061-A

Abstract

The invention discloses a multisource temperature early warning method and a multisource temperature early warning system for a lithium ion battery, wherein the method comprises the steps of collecting three paths of independent temperature data; the method comprises the steps of acquiring three paths of temperature data, processing the three paths of temperature data to obtain a real-time temperature value, judging the working state of a temperature sensor based on a preset threshold value and a data rationality rule, combining the working state, carrying out cross verification and data fusion on the three paths of temperature values, executing a composite judgment strategy algorithm to obtain a reliable temperature value, outputting the reliable temperature value, and updating a global temperature sensor state mark for fire alarm logic decision. By fusing the data of the three-way heterogeneous temperature sensor and combining the state judgment and the composite judgment strategy, the system can still output the reliable temperature value judgment when any one or two sensors are in fault, interfered or invalid, thereby remarkably enhancing the robustness and the safety of the lithium ion battery thermal management system and improving the temperature monitoring reliability and the fault tolerance.

Inventors

DAI YUNZHI
LI RUYI
YAO JIAHONG
HUANG ZHIHUA
YANG CHUNWANG
LI DONGFENG

Assignees

安徽芯核防务装备技术股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260129

Claims (9)

1. A multi-source temperature early warning method for a lithium ion battery is characterized by comprising the following steps: S1, acquiring temperature data from three independent temperature sensors; s2, processing the collected three paths of temperature data, obtaining real-time temperature values of each path, and judging the working state of the temperature sensor based on a preset threshold value and a data rationality rule; s3, combining the working states, performing cross verification and data fusion on the three paths of temperature values, and executing a composite judgment strategy algorithm to acquire a reliable temperature value; s4, outputting a reliable temperature value, and updating a global temperature sensor state mark for fire alarm logic decision.
2. The method of claim 1, wherein the three independent temperature sensors comprise an external digital first temperature sensor, an external analog second temperature sensor, and a third temperature sensor internal to the microcontroller.
3. The method of claim 2, wherein the external digital first temperature sensor employs DS18B20, the external analog second temperature sensor employs an NTC thermistor, and the microcontroller employs GD32F103.
4. The method of claim 1, wherein the operating condition of the temperature sensor comprises a normal, fault or abnormal condition.
5. The method of claim 4, wherein determining the operating state of the temperature sensor comprises the steps of: the system detects and acquires the fault or abnormal state of each path of temperature sensor, or Checking whether the first temperature sensor and the second temperature sensor are in a preset effective temperature range, and if not, putting the corresponding sensors into a fault or abnormal state; If the temperature difference between the first temperature sensor and the second temperature sensor is smaller than 15 ℃, and if the temperature difference is not smaller than 15 ℃, the temperature difference between the first temperature sensor and the third temperature sensor is compared, and the temperature difference between the second temperature sensor and the third temperature sensor is larger, the first temperature sensor or the second temperature sensor with the larger temperature difference is placed in a fault or abnormal state, or the first temperature sensor or the second temperature sensor with the larger temperature difference is placed in a fault or abnormal state, and the temperature difference between the first temperature sensor and the third temperature sensor exceeds 22 ℃.
6. The method of claim 1, wherein the step of determining the position of the substrate comprises, when the first temperature sensor and the second temperature sensor both acquire temperature values, the composite judgment strategy algorithm comprises the following steps: The temperature difference between the first temperature sensor and the second temperature sensor is less than 15 ℃, and the temperature value of the first temperature sensor is output as a system temperature value; comparing the first and third temperature sensor temperature differences and the second and third temperature sensor temperature differences, and outputting the first or second temperature sensor temperature value with the minimum temperature difference and less than 22 ℃ as the system temperature value.
7. The method of claim 6, wherein the step of providing the first layer comprises, when the first or second temperature sensor collects a temperature value, the composite judgment strategy algorithm comprises the following steps: Comparing the first and third temperature sensor temperature differences, or comparing the second and third temperature sensor temperature differences, and outputting the first or second temperature sensor temperature value with the temperature difference less than 22 ℃ as a system temperature value.
8. The method of claim 6, wherein the step of providing the first layer comprises, And comparing the temperature difference of the first temperature sensor with the temperature difference of the third temperature sensor, and comparing the temperature difference of the second temperature sensor with the temperature difference of the third temperature sensor, wherein when the temperature difference is not less than 22 ℃, the system temperature value is marked as fault or abnormality.
9. A multi-source temperature pre-warning system for a lithium ion battery applying the method of any one of claims 1 to 8, the system comprising: the acquisition module acquires temperature data from three independent temperature sensors; The state judging module is used for judging the working state of the temperature sensor by combining system detection and temperature data of each path of temperature sensor; The temperature acquisition module is configured with a composite judgment strategy algorithm and is used for acquiring a reliable temperature value by combining the working state and the acquired temperature data; and the output module is used for outputting a reliable temperature value, updating a global temperature sensor state mark and providing the temperature sensor state mark for the fire alarm logic decision unit.

Description

Multi-source temperature early warning method and system for lithium ion battery Technical Field The invention relates to the technical field of temperature monitoring and early warning of lithium ion batteries, in particular to a multi-source temperature early warning method and system for a lithium ion battery. Background In the field of electrochemical energy storage, the detector with the temperature detection function is increasingly widely applied, and the core function of the detector is to realize fire disaster early warning through temperature monitoring and ensure the safe operation of energy storage equipment and related scenes (such as new energy vehicles, energy storage power stations and the like). The temperature sensor is used as a key core component of the detector, and the reliability of detection data directly determines the accuracy and stability of the early warning system. Currently, intra-industry detector products employ a single temperature sensor (e.g., DS18B 20) for temperature detection. With the continuous increase of the output of the related detectors, the reliability short plate of the single temperature sensor is gradually highlighted, and a plurality of practical application problems are caused. For example, in the existing lithium ion battery products used in buses in a certain place, abnormal temperature jump or fault conditions of the DS18B20 temperature sensor occur for many times, so that the detector misreports 3-level early warning and even 4-level warning, further the suppression system is triggered to automatically spray, the problems not only interfere normal use of a terminal user, but also cause great negative influence on enterprise reputation, and meanwhile after-sales maintenance cost is obviously increased. As can be seen from in-depth analysis, the detection scheme of the single temperature sensor lacks redundancy design and cross checking mechanism, and once the sensor fails (such as signal jump, data distortion, hardware damage and the like), the detection result is directly invalid, so that early warning misjudgment is caused. The temperature early warning of the energy storage device is directly related to a safety protection decision, and false alarm may cause unnecessary resource waste (such as false spraying of a fire extinguisher), and the false alarm may bring about serious potential safety hazard. Therefore, the existing single temperature sensor detection technology cannot meet the use requirements of the market on high reliability and low failure rate of the detector product, and a technical scheme capable of avoiding the failure risk of the single temperature sensor and improving the reliability of temperature detection data is needed to solve the pain point of the industry. Disclosure of Invention Aiming at the problems, the invention aims to provide a multi-source temperature early warning method and a multi-source temperature early warning system for a lithium ion battery, which solve the problems of insufficient reliability, easy occurrence of false alarm and missing report and the like of the existing single temperature sensor detection scheme. The invention aims at realizing the technical scheme that the multi-source temperature early warning method and system for the lithium ion battery comprise the following steps of. S1, acquiring temperature data from three independent temperature sensors; s2, processing the collected three paths of temperature data, obtaining real-time temperature values of each path, and judging the working state of the temperature sensor based on a preset threshold value and a data rationality rule; s3, combining the working states, performing cross verification and data fusion on the three paths of temperature values, and executing a composite judgment strategy algorithm to acquire a reliable temperature value; s4, outputting a reliable temperature value, and updating a global temperature sensor state mark for fire alarm logic decision. As a still further proposal of the invention, the three paths of independent temperature sensors comprise an external digital first temperature sensor, an external analog second temperature sensor and a third temperature sensor inside the microcontroller. As a still further aspect of the present invention, the external digital first temperature sensor adopts DS18B20, the external analog second temperature sensor adopts NTC thermistor, and the microcontroller adopts GD32F103. As still further aspects of the present invention, the operating state of the temperature sensor includes a normal, a fault or an abnormal state. As still further aspect of the present invention, the step of determining the operating state of the temperature sensor includes: the system detects and acquires the fault or abnormal state of each path of temperature sensor, or Checking whether the first temperature sensor and the second temperature sensor are in a preset effective temperature range, and if not, putt