CN-121971821-A - Multistage fire response and protection system of liquid cooling energy storage cabinet

CN121971821ACN 121971821 ACN121971821 ACN 121971821ACN-121971821-A

Abstract

The invention relates to the technical field of energy storage system safety protection, in particular to a multi-stage fire response and protection system of a liquid cooling energy storage cabinet, electrochemical, thermal management, environment and stress parameters are acquired in real time through a multi-source data acquisition module, three types of inducement indexes of electrochemical, indirect stress and environment history are calculated in parallel through a multi-dimensional fire inducement analysis module, and generating a unified multidimensional risk vector through a risk situation fusion module, judging whether the safety range is exceeded by combining the self-adaptive threshold value generated by the dynamic safety boundary generation module, and if the safety range is exceeded, starting a regulation and control measure from early warning to active intervention according to the risk level by the hierarchical targeting response execution module, and calling an instruction matched with the dominant risk dimension. The response effect evaluation module then starts an evaluation window, and forms an execution-evaluation-optimization closed loop through the risk module length attenuation rate and the overstepping quantitative regulation effect, so that the accuracy and the response timeliness of fire early warning are improved, and the safety decision of continuous optimization is realized.

Inventors

DANG LIANG
LOU HUI
CHENG JINYU
GAO MENGHAN
ZHANG QIANLIANG
ZHANG YUELONG
REN YONGFENG
ZHAO SHILI

Assignees

杭州柯林电气股份有限公司

Dates

Publication Date: 20260505
Application Date: 20260210

Claims (10)

1. A multi-stage fire response and protection system for a liquid cooled energy storage cabinet, comprising: The multi-source data acquisition module is used for acquiring multi-source data corresponding to the liquid cooling energy storage cabinet to be evaluated according to preset conventional acquisition frequency; The multi-source data includes electrochemical core parameters, thermal management parameters, environmental safety parameters, and electrical and mechanical stress parameters; the multidimensional fire disaster incentive analysis module is used for calculating an electrochemical incentive index, an indirect stress incentive index and an environmental history incentive index corresponding to the liquid cooling energy storage cabinet to be evaluated in parallel; the risk situation fusion module is used for generating a unified multidimensional risk situation vector; the dynamic safety boundary generation module is used for generating a safety threshold value of dynamic change and evaluating whether the liquid cooling energy storage cabinet to be evaluated exceeds a safety operation range; The grading targeting response execution module is used for executing the process from early warning prompt to active intervention when the liquid cooling energy storage cabinet to be evaluated exceeds the safe operation range; And the response effect evaluation module is used for quantitatively evaluating the actual effect of the control measure.
2. The multi-stage fire response and protection system for a liquid-cooled energy storage cabinet according to claim 1, wherein the electrochemical incentive index corresponding to the liquid-cooled energy storage cabinet to be evaluated is calculated by the following specific process: preprocessing the acquired multi-source data corresponding to each time point to obtain multi-source data aligned to the time point; Obtaining an internal resistance value of each corresponding single battery in the liquid cooling energy storage cabinet to be evaluated at the current moment, a voltage value of each single battery at the current moment, a temperature difference and an average temperature corresponding to single batteries in a battery cluster at the current moment, and calculating an electrochemical incentive index corresponding to the liquid cooling energy storage cabinet to be evaluated by combining an internal resistance health reference value, a voltage fluctuation item weight coefficient, an internal resistance change item weight coefficient and a temperature inconsistency item coupling coefficient of each single battery.
3. The multi-stage fire response and protection system for a liquid-cooled energy storage cabinet according to claim 2, wherein the indirect stress inducement index corresponding to the liquid-cooled energy storage cabinet to be evaluated is calculated by the following specific processes: acquiring inlet and outlet temperature differences and volume flow of each cooling branch in the liquid cooling energy storage cabinet to be evaluated at the current moment; acquiring the temperature of each corresponding electrical connection point in the liquid cooling energy storage cabinet to be evaluated at the current moment; and calculating to obtain an indirect stress induction index corresponding to the liquid cooling energy storage cabinet to be evaluated by combining the set standard flow corresponding to each cooling branch, the set temperature early warning threshold value and the highest allowable temperature of each electrical connection point, and the thermal management weight coefficient and the electrical and mechanical stress weight coefficient.
4. The multi-stage fire response and protection system for a liquid-cooled energy storage cabinet according to claim 3, wherein the environmental history incentive index corresponding to the liquid-cooled energy storage cabinet to be evaluated is calculated by the following specific processes: Acquiring the environmental temperature and the relative humidity in the cabinet body corresponding to each historical moment in the historical time period, and calculating the environmental damage rate of the cabinet body corresponding to each historical moment in the historical time period by combining the maximum temperature, the optimal temperature, the maximum humidity and the optimal humidity of the corresponding battery stored in the liquid cooling energy storage cabinet to be evaluated for a long time; And calculating to obtain the environment history incentive index corresponding to the liquid cooling energy storage cabinet to be evaluated based on the accumulated total amount of the environmental damage rate of the cabinet body in the history time period and combining the accumulated discharge ampere-hour throughput of the liquid cooling energy storage cabinet to be evaluated in the history time period and the set standard total throughput.
5. The multi-stage fire response and protection system for a liquid-cooled energy storage cabinet of claim 4, wherein the generating a unified multi-dimensional risk situation vector comprises the following steps: normalizing the electrochemical incentive index, the indirect stress incentive index and the environmental history incentive index corresponding to the liquid cooling energy storage cabinet to be evaluated to obtain the normalized electrochemical incentive index, the normalized indirect stress incentive index and the normalized environmental history incentive index; Combining the electrochemical inducement, the indirect stress inducement and the risk coupling coefficient between the environment history inducement and the corresponding risk, and the basic contribution to the dimension of the coupling matrix to generate a coupling matrix; And combining the normalized index with the coupling matrix through matrix multiplication, and calculating to obtain a three-dimensional risk situation vector corresponding to the liquid cooling energy storage cabinet to be evaluated.
6. The multi-stage fire response and protection system for a liquid cooled energy storage cabinet of claim 5, wherein the generating the dynamically changing safety threshold comprises the following steps: Obtaining an aging vulnerability factor, a cooling efficiency factor and an environmental temperature stress factor corresponding to the liquid cooling energy storage cabinet to be evaluated; and combining the first weight coefficient, the second weight coefficient, the third weight coefficient and the set basic safety threshold value, and calculating to obtain the corresponding safety threshold value.
7. The multi-stage fire response and protection system for a liquid-cooled energy storage cabinet according to claim 6, wherein the steps of obtaining the aging vulnerability factor, the cooling efficiency factor and the environmental temperature stress factor corresponding to the liquid-cooled energy storage cabinet to be evaluated are as follows: Based on the environmental history incentive index corresponding to the liquid cooling energy storage cabinet to be evaluated, combining the maximum allowable aging index limit value corresponding to the liquid cooling energy storage cabinet to be evaluated, and calculating to obtain the aging vulnerability factor corresponding to the liquid cooling energy storage cabinet to be evaluated; Acquiring the designed volume flow and the designed inlet-outlet temperature difference of a corresponding cooling system, and calculating to obtain a cooling efficiency factor corresponding to the liquid cooling energy storage cabinet to be evaluated based on the actual volume flow and the actual inlet-outlet temperature difference corresponding to each cooling branch at the current moment of the liquid cooling energy storage cabinet to be evaluated; And calculating to obtain the environmental temperature stress factor corresponding to the liquid cooling energy storage cabinet to be evaluated by combining the internal environmental temperature of the cabinet body corresponding to the current moment of the liquid cooling energy storage cabinet to be evaluated and the maximum temperature and the optimal temperature of the battery corresponding to the battery in the liquid cooling energy storage cabinet to be evaluated for long-term storage.
8. The multi-stage fire response and protection system for a liquid-cooled energy storage cabinet according to claim 7, wherein the evaluating whether the liquid-cooled energy storage cabinet to be evaluated exceeds the safe operating range comprises the following steps: calculating the modular length corresponding to the three-dimensional risk situation vector based on the multi-dimensional risk situation vector, namely the three-dimensional risk situation vector corresponding to the liquid cooling energy storage cabinet to be evaluated; And comparing the safety threshold corresponding to the current moment with the model length corresponding to the three-dimensional risk situation vector, and evaluating whether the liquid cooling energy storage cabinet to be evaluated exceeds the safety operation range.
9. The multi-stage fire response and protection system of the liquid-cooled energy storage cabinet according to claim 8, wherein the implementation is from early warning prompt to active intervention, and the specific process is as follows: Dividing corresponding risk grades by combining the modular length and the safety threshold value corresponding to the three-dimensional risk situation vector corresponding to the current moment; When the liquid cooling energy storage cabinet to be evaluated exceeds the safe operation range, generating and distributing structural early warning information; And when the structured early warning information is issued, calling and executing a regulation and control instruction which is completely matched with the current dominant risk dimension and the risk unit, so as to finish early warning prompt to active intervention.
10. The multi-stage fire response and protection system of the liquid cooling energy storage cabinet according to claim 9, wherein the actual effect of the adjustment and control measures is quantitatively evaluated, and the specific process is as follows: After the secondary response is executed, starting an evaluation window with preset duration, carrying out high-frequency acquisition on multi-source data corresponding to the liquid cooling energy storage cabinet to be evaluated in the evaluation window, calculating corresponding risk situation vector module length and surmounting degree in a fixed period, and further calculating corresponding risk module length attenuation rate in the evaluation window; And acquiring the surmounting degree of each time point of the second half section corresponding to the evaluation window, and combining the set risk module length attenuation rate threshold value to evaluate the actual effect of the regulation and control measures.

Description

Multistage fire response and protection system of liquid cooling energy storage cabinet Technical Field The invention relates to the technical field of energy storage system safety protection, in particular to a multistage fire response and protection system of a liquid cooling energy storage cabinet. Background Along with the expansion of the electrochemical energy storage scale, the liquid cooling energy storage cabinet has increasingly prominent fire risk due to high energy density and large heat dissipation requirement. The traditional monitoring means depend on a single threshold value for alarm, complex fault scenes of multi-cause coupling and state evolution are difficult to deal with, missing report, false report or response lag easily occur, and for this reason, development of an intelligent fire response system capable of fusing multi-source data, dynamically evaluating risks and realizing hierarchical accurate intervention is needed to improve the intrinsic safety level of an energy storage system. The prior art discloses a liquid cooling cabinet fire-fighting method, a liquid cooling cabinet fire-fighting system and a liquid cooling cabinet, wherein the liquid cooling cabinet fire-fighting method, the liquid cooling cabinet fire-fighting system and the liquid cooling cabinet are characterized in that by performing independent fire-fighting when a battery Bao Re in the liquid cooling cabinet is out of control, detecting and exhausting air and extinguishing fire when a liquid cooling cabinet fire disaster occurs, the independent battery pack can be extinguished when the battery pack is abnormally ignited, the influence of the ignited battery pack on other intact battery packs is avoided, the influence of the traditional fire-extinguishing mode on other intact battery packs is also avoided, and alarming and fire-extinguishing are performed when the fire disaster occurs or is about to occur in the liquid cooling cabinet, so that the fire disaster is treated in the first time, the loss is reduced, and the multi-stage fire protection of independent fire-fighting, combustible gas detection and air exhaust of the battery pack and water fire-fighting submerged fire-fighting is realized. Aiming at the scheme, at least the following technical problems exist: 1. The scheme lacks a multi-dimensional and prospective quantitative analysis process for fire risks of the liquid cooling energy storage cabinet, mainly relies on obvious afterphenomena such as temperature rise, combustible gas concentration or smoke generation and the like as the only basis for triggering alarm and action, lacks synchronous acquisition and comprehensive analysis for multi-source parameters such as voltage fluctuation, internal resistance change, temperature inconsistency, cooling efficiency real-time state, electric connection point temperature, historical environment accumulated damage and the like, causes that a system is triggered only when thermal runaway or fire occurs or enters an irreversible stage, and cannot identify risks and send out early warning at an earlier stage, namely when potential causes such as abnormal electrochemical state, thermal management performance decline or long-term environmental stress accumulation and the like are just displayed, so that the key time for early intervention and event upgrading prevention is lost. 2. The scheme lacks a dynamic and comprehensive risk assessment model and a self-adaptive safety decision boundary, the action logic of the scheme is based on static thresholds such as a fixed first preset value and a fixed second preset value, the process of normalizing and fusing multiple types of inducement indexes into a unified risk situation vector is lacking, the capability of calculating the dynamic safety threshold in real time according to the aging degree of equipment, the current cooling efficiency and the environmental stress is lacking, the complexity and the evolution state of the real risk cannot be accurately reflected by the response decision of the system, and two adverse situations can occur, namely, firstly, when the performance of the equipment is reduced or the environment is severe but the parameters do not reach the fixed threshold, the system blindly considers safety to cause missing report, and secondly, when some transient disturbance or non-critical parameter fluctuation reaches the fixed threshold, the system excessively reacts to cause false report. 3. The scheme lacks a grading and targeting accurate response mechanism and closed-loop assessment and optimization capability of response effects, response measures are relatively single and general, for example, exhaust and power-off are executed after a gas concentration threshold is reached, differentiation and accurate regulation instruction library aiming at different leading risk sources (such as specific cooling branch failure and internal resistance surge of a specific battery cluster) are lacking, meanwhile