CN117518018B - Energy storage power failure detection early warning system - Google Patents
Energy storage power failure detection early warning system Download PDFInfo
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- CN117518018B CN117518018B CN202410010949.3A CN202410010949A CN117518018B CN 117518018 B CN117518018 B CN 117518018B CN 202410010949 A CN202410010949 A CN 202410010949A CN 117518018 B CN117518018 B CN 117518018B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/40—Testing power supplies
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
Abstract
The invention belongs to the technical field of energy storage power supply supervision, in particular to an energy storage power supply fault detection early warning system, which comprises a processor, a charge-discharge voltage flow detection module, a power storage decision analysis module, a performance comprehensive evaluation module and a supervision early warning terminal, wherein the processor is used for detecting the power storage voltage flow of the energy storage power supply; according to the invention, the voltage flow performance condition of the energy storage power supply in the charge-discharge process is monitored through the charge-discharge voltage flow detection module, the voltage flow performance abnormal condition of the energy storage power supply in the charge-discharge process is accurately fed back, the storage electric performance of the energy storage power supply is analyzed through the storage electric decision analysis module, the electric abnormal condition of the energy storage power supply is accurately fed back, the safe and stable operation of the energy storage power supply is ensured through monitoring and reasonably analyzing and judging the operation risk and the environmental risk of the energy storage power supply, and the life state of the energy storage power supply is accurately judged through comprehensively evaluating the use performance of the energy storage power supply, so that the potential safety hazard and the use risk of the energy storage power supply are effectively reduced.
Description
Technical Field
The invention relates to the technical field of energy storage power supply supervision, in particular to an energy storage power supply fault detection and early warning system.
Background
Along with the transformation of energy structures and the continuous development of power systems, the energy storage power supply is widely applied in the power systems, is a high-capacity mobile power supply, is a machine capable of storing electric energy, can drive small-power electric appliances or charge various electric appliances, is a large-scale power supply group widely applied to outdoor travel, emergency disaster prevention and other scenes, has various interfaces, and supports the charging of products such as mobile phones, notebook computers, refrigerators and the like in mobile power scenes;
the problem of power supply interruption or instability caused by the failure of the energy storage power supply happens sometimes, so that the failure detection and early warning of the energy storage power supply are particularly important, the reasonable analysis and feedback early warning of the charge-discharge voltage current condition and the storage abnormality of the energy storage power supply are difficult at present, the risk of the operation and the environment of the energy storage power supply cannot be judged, the comprehensive evaluation of the life state of the energy storage power supply cannot be carried out, and the safety and stability of the operation of the energy storage power supply are not guaranteed;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide an energy storage power supply fault detection early warning system, which solves the problems that the prior art is difficult to reasonably analyze the charge-discharge voltage flow condition and the stored electricity abnormality of an energy storage power supply and feed back early warning, the risk of the operation and the environment of the energy storage power supply cannot be judged, the life state of the energy storage power supply cannot be comprehensively estimated, and the safety and stability of the operation of the energy storage power supply are not guaranteed.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an energy storage power failure detection early warning system comprises a processor, a charge-discharge voltage flow detection module, a power storage decision analysis module, a performance comprehensive evaluation module and a supervision early warning terminal; the charge-discharge voltage flow detection module monitors the voltage flow performance of the energy storage power supply in the charge and discharge process, generates a charge-discharge voltage flow qualified signal or a charge-discharge voltage flow unqualified signal through analysis, and sends the charge-discharge voltage flow unqualified signal to the supervision and early-warning terminal through the processor;
the power storage decision analysis module analyzes the power storage performance of the energy storage power supply, generates a power storage abnormal signal or a power storage normal signal through analysis, and sends the power storage abnormal signal to the supervision and early warning terminal through the processor; the performance comprehensive evaluation module is used for comprehensively evaluating the use performance of the energy storage power supply, judging the life state of the energy storage power supply, generating a performance comprehensive evaluation disqualification signal or a performance comprehensive evaluation qualification signal of the energy storage power supply, and transmitting the performance comprehensive evaluation disqualification signal to the supervision and early warning terminal through the processor.
Further, the processor is in communication connection with the power supply environment detection module and the power supply operation detection module, the power supply environment detection module detects the environment where the energy storage power supply is located, judges the environment risk state of the energy storage power supply, and sends judging information to the supervision and early warning terminal through the processor; the power supply operation detection module detects the operation abnormality of the energy storage power supply, judges the operation risk state of the energy storage power supply, and sends judgment information to the supervision and early warning terminal through the processor.
Further, the specific analysis process of the power supply environment detection module comprises the following steps:
acquiring the environmental temperature, the environmental humidity, the environmental air pressure and the environmental illumination intensity of the environment where the energy storage power supply is located, calculating the difference value between the environmental temperature and a preset standard environmental temperature value, taking an absolute value to obtain an annular temperature analysis value, and acquiring an annular humidity analysis value, an annular pressure analysis value and an annular light analysis value in the same way; collecting smoke concentration data of the environment where the energy storage power supply is located, and carrying out numerical calculation on the smoke concentration data, the ring temperature analysis value, the ring humidity analysis value, the ring pressure analysis value and the ring light analysis value to obtain an environment detection value; and comparing the environment detection value with a preset environment detection threshold value, and judging that the energy storage power supply is in an environment early warning state if the environment detection value exceeds the preset environment detection threshold value.
Further, the specific operation process of the power supply operation detection module includes:
collecting real-time temperatures at a plurality of positions on an energy storage power supply, summing the deviation values of the real-time temperatures at the plurality of positions compared with the median value of a preset real-time temperature range, taking a mean value to obtain a stored temperature test value, comparing the real-time temperatures at the corresponding positions with the preset real-time temperature range in a numerical mode, marking the corresponding positions as energy storage different-temperature points if the real-time temperatures are not in the preset real-time temperature range, and marking the number of the energy storage different-temperature points as energy storage different-temperature decision values; the vibration detection data of the energy storage power supply are collected, and the vibration detection data, the energy storage abnormal temperature decision value and the stored temperature check value are subjected to numerical calculation to obtain a power supply operation value; and comparing the power supply operation value with a preset power supply operation threshold value, and judging an operation early warning state at the energy storage power supply if the power supply operation value exceeds the preset power supply operation threshold value.
Further, the specific operation process of the performance comprehensive evaluation module comprises the following steps:
acquiring the production interval duration and the charging frequency of the energy storage power supply, respectively carrying out numerical comparison on the production interval duration and the charging frequency as well as a preset production interval duration threshold value and a preset charging frequency threshold value, and if the production interval duration or the charging frequency exceeds the corresponding preset threshold value, generating a performance comprehensive evaluation disqualification signal of the energy storage power supply;
if the production interval duration and the charging frequency do not exceed the corresponding preset thresholds, acquiring an electricity storage abnormal value of the energy storage power supply through analysis, acquiring duration of the energy storage power supply in an environment early warning state and duration of the energy storage power supply in an operation early warning state in a historical operation process, marking the duration as a ring warning total time value and a traffic warning total time value respectively, acquiring a fault frequency of the energy storage power supply in the historical operation process, and carrying out numerical calculation on the fault frequency, the electricity storage abnormal value, the ring warning total time value and the traffic warning total time value to obtain an energy storage comprehensive evaluation value; comparing the energy storage comprehensive evaluation value with a preset energy storage comprehensive evaluation threshold value, and generating a performance comprehensive evaluation disqualification signal of the energy storage power supply if the energy storage comprehensive evaluation value exceeds the preset energy storage comprehensive evaluation threshold value; and if the energy storage comprehensive evaluation value does not exceed the preset energy storage comprehensive evaluation threshold value, generating a performance comprehensive evaluation qualified signal of the energy storage power supply.
Further, the analysis and acquisition method of the electricity storage abnormal value is as follows:
acquiring the time when the electric quantity of the energy storage power supply reaches a preset upper limit threshold value of electricity storage during charging, and calculating the time difference between the time when the charging is finished and the time when the electric quantity reaches the preset upper limit threshold value of electricity storage to obtain single overcharging time; summing all the single overcharge duration of the energy storage power supply in the historical operation process to obtain an overcharge analysis value, and carrying out average value calculation on all the single overcharge duration to obtain an overcharge differential analysis value;
acquiring the time when the electric quantity of the energy storage power supply starts to be lower than the lower limit threshold value of the electricity storage when the energy storage power supply is used, marking the time as a first time, acquiring the time when the electric quantity of the energy storage power supply starts to be recovered to the lower limit threshold value of the electricity storage and marking the time as a second time, and calculating the time difference between the second time and the first time to obtain the duration of low electricity; summing all low-electricity duration time of the energy storage power supply in the historical operation process to obtain a low-electricity time analysis value, and carrying out average value calculation on all low-electricity duration time to obtain a low-electricity different analysis value; and carrying out numerical calculation on the overcharge-time analysis value, the overcharge-abnormal analysis value, the low-electricity analysis value and the low-electricity abnormal analysis value of the energy storage power supply to obtain the electricity storage abnormal value.
Further, the specific operation process of the charge-discharge voltage flow detection module comprises the following steps:
acquiring a voltage curve and a current curve of the energy storage power supply in the charging or discharging process of the energy storage power supply, and acquiring a voltage fluctuation value and a current fluctuation value of the corresponding charging or discharging process based on the voltage curve and the current curve; respectively carrying out numerical comparison on the voltage fluctuation value and the current fluctuation value and a preset voltage fluctuation threshold value and a preset current fluctuation threshold value, and if the voltage fluctuation value or the current fluctuation value exceeds the corresponding preset threshold value, generating a charging and discharging voltage current disqualification signal corresponding to a charging or discharging process;
if the voltage fluctuation value and the current fluctuation value do not exceed the corresponding preset thresholds, placing a voltage curve into a rectangular coordinate system positioned in a first quadrant, drawing two voltage threshold straight lines parallel to an X axis in the rectangular coordinate system, marking the time length of the voltage curve which is not positioned in the two voltage threshold straight lines as a pressure difference time length, and carrying out ratio calculation on the pressure difference time length and the total time length corresponding to the charging or discharging process to obtain a pressure difference time analysis value; similarly, obtaining a flow abnormal time analysis value;
performing numerical calculation on the voltage fluctuation value, the current fluctuation value, the voltage abnormal analysis value and the current abnormal analysis value to obtain a charge-discharge unstable value, performing numerical comparison on the charge-discharge unstable value and a preset charge-discharge unstable threshold value, and generating a charge-discharge voltage flow disqualification signal corresponding to a charge or discharge process if the charge-discharge unstable value exceeds the preset charge-discharge unstable threshold value; if the charge-discharge unstable value does not exceed the preset charge-discharge unstable threshold value, a charge-discharge voltage flow qualification signal corresponding to the charge or discharge process is generated.
Further, the specific analysis process of the power storage decision analysis module comprises the following steps:
when the energy storage power supply is charged, acquiring electric quantity duty ratio data of the energy storage power supply at the beginning of charging and marking the electric quantity duty ratio data as initial electric detection data, and acquiring electric quantity duty ratio data of the energy storage power supply at the end of charging and marking the electric quantity duty ratio data as terminal electric detection data, and obtaining electric energy required by the current charging process and marking the electric energy as electric demand data based on the terminal electric detection data and the initial electric detection data;
the method comprises the steps of obtaining actual power consumption of an energy storage power supply in the current charging process, marking the actual power consumption as a charging actual measurement value, carrying out difference value calculation on the charging actual measurement value and electricity demand data, taking an absolute value to obtain a charging bias measurement value, carrying out summation calculation on all the charging bias measurement values in unit time, and taking an average value to obtain a charging bias measurement value; comparing the charging deviation value with a preset charging deviation threshold value in a numerical value manner, and generating a power storage abnormal signal if the charging deviation value exceeds the preset charging deviation threshold value; if the charging deviation value does not exceed the preset charging deviation threshold value, generating a power storage normal signal.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the voltage flow performance condition of the energy storage power supply in the charging and discharging process is monitored through the charging and discharging voltage flow detection module, so that the abnormal voltage flow performance condition of the energy storage power supply in the charging and discharging process can be accurately fed back, and the safe and stable operation of the energy storage power supply is ensured; the electricity storage performance of the energy storage power supply is analyzed through the electricity storage decision analysis module, and the electricity storage abnormal condition of the energy storage power supply can be accurately fed back through analysis to generate an electricity storage abnormal signal or an electricity storage normal signal, so that the safe and stable operation of the energy storage power supply is further ensured;
2. in the invention, the operation risk and the environmental risk of the energy storage power supply are monitored, reasonably analyzed and judged through the power supply environment detection module and the power supply operation detection module, the safe and stable operation of the energy storage power supply is ensured, the service performance of the energy storage power supply is comprehensively evaluated through the performance comprehensive evaluation module, the life state of the energy storage power supply is judged, the comprehensive evaluation of the life state of the energy storage battery is realized, and the potential safety hazard and the use risk of the energy storage power supply are effectively reduced.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a system block diagram of the second and third embodiments of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one: as shown in fig. 1, the energy storage power failure detection and early warning system provided by the invention comprises a processor, a charge-discharge voltage flow detection module, a power storage decision analysis module, a performance comprehensive evaluation module and a supervision and early warning terminal, wherein the processor is in communication connection with the charge-discharge voltage flow detection module, the power storage decision analysis module, the performance comprehensive evaluation module and the supervision and early warning terminal;
the charging and discharging voltage flow detection module monitors the voltage flow performance condition of the energy storage power supply in the charging and discharging process, generates a charging and discharging voltage flow qualified signal or a charging and discharging voltage flow unqualified signal through analysis, and sends the charging and discharging voltage flow unqualified signal to the monitoring and early warning terminal through the processor, so that the abnormal voltage flow performance condition of the energy storage power supply in the charging and discharging process can be accurately fed back, reasonable countermeasures can be made in time, and safe and stable operation of the energy storage power supply is ensured; the specific operation process of the charge-discharge voltage flow detection module is as follows:
acquiring a voltage curve and a current curve of the energy storage power supply in the charging or discharging process of the energy storage power supply, and acquiring a voltage fluctuation value and a current fluctuation value of the corresponding charging or discharging process based on the voltage curve and the current curve; the voltage fluctuation value and the current fluctuation value are data values representing the voltage stability abnormality degree and the current stability abnormality degree in the corresponding charging or discharging process, and the larger the values of the voltage fluctuation value and the current fluctuation value are, the more abnormal the voltage flow performance of the energy storage power supply in the corresponding charging or discharging process is indicated; respectively carrying out numerical comparison on the voltage fluctuation value and the current fluctuation value and a preset voltage fluctuation threshold value and a preset current fluctuation threshold value, and if the voltage fluctuation value or the current fluctuation value exceeds the corresponding preset threshold value, generating a charging and discharging voltage current disqualification signal corresponding to a charging or discharging process;
if the voltage fluctuation value and the current fluctuation value do not exceed the corresponding preset thresholds, placing a voltage curve into a rectangular coordinate system positioned in a first quadrant, wherein an X axis of the rectangular coordinate system represents time, and a Y axis represents the voltage value; drawing two voltage threshold straight lines parallel to the X axis in a rectangular coordinate system, namely a voltage upper limit threshold straight line and a voltage lower limit threshold curve, wherein if the voltage curve is always positioned between the two voltage threshold straight lines, the voltage corresponding to the charging or discharging process is indicated to be better; marking the time length of the voltage curve which is not in the two voltage threshold lines as pressure difference time length, and calculating the ratio of the pressure difference time length to the total time length of the corresponding charging or discharging process to obtain a pressure difference time analysis value; similarly, obtaining a flow abnormal time analysis value;
by the formulaCarrying out numerical calculation on a voltage fluctuation value FR, a current fluctuation value FG, a voltage abnormal analysis value FQ and a current abnormal analysis value FP to obtain a charge-discharge unstable value FK, wherein ed1, ed2, ed3 and ed4 are preset weight coefficients, and the values of ed1, ed2, ed3 and ed4 are all larger than zero; and, the larger the value of the charge-discharge unsteady value FK, the worse the voltage flow performance of the energy storage power supply in the corresponding charge or discharge process is indicated; comparing the charge-discharge unstable value FK with a preset charge-discharge unstable threshold value, and generating a charge-discharge voltage flow disqualification signal corresponding to the charge or discharge process if the charge-discharge unstable value FK exceeds the preset charge-discharge unstable threshold value; if the charge-discharge unstable value FK does not exceed the preset charge-discharge unstable threshold value, a charge-discharge voltage flow qualification signal corresponding to the charge or discharge process is generated.
The power storage decision analysis module analyzes the power storage performance of the energy storage power supply, generates a power storage abnormal signal or a power storage normal signal through analysis, and sends the power storage abnormal signal to the supervision and early warning terminal through the processor, so that the power storage abnormal condition of the energy storage power supply can be accurately fed back, the energy storage power supply can be timely checked and maintained, the risk of continuous use of the energy storage power supply is judged, and the safe and stable operation of the energy storage power supply is further ensured; the specific analysis process of the electricity storage decision analysis module is as follows:
when the energy storage power supply is charged, acquiring electric quantity duty ratio data of the energy storage power supply at the beginning of charging and marking the electric quantity duty ratio data as initial electric detection data, and acquiring electric quantity duty ratio data of the energy storage power supply at the end of charging and marking the electric quantity duty ratio data as terminal electric detection data, and obtaining electric energy required by the current charging process and marking the electric energy as electric demand data based on the terminal electric detection data and the initial electric detection data;
the method comprises the steps of obtaining actual power consumption of an energy storage power supply in the current charging process, marking the actual power consumption as a charging actual measurement value, carrying out difference value calculation on the charging actual measurement value and electricity demand data, and taking an absolute value to obtain a charging bias measurement value, wherein the charging bias measurement value is in a reasonable range; summing all the charging bias measurement values in unit time, and taking an average value to obtain a charging bias value; comparing the charging deviation value with a preset charging deviation threshold value in a numerical value manner, and generating a power storage abnormal signal if the charging deviation value exceeds the preset charging deviation threshold value; if the charging deviation value does not exceed the preset charging deviation threshold value, generating a power storage normal signal.
The performance comprehensive evaluation module comprehensively evaluates the service performance of the energy storage power supply, judges the life state of the energy storage power supply, generates a performance comprehensive evaluation disqualification signal or a performance comprehensive evaluation qualification signal of the energy storage power supply, and sends the performance comprehensive evaluation disqualification signal to the supervision and early warning terminal through the processor, so that the life state of the energy storage battery can be comprehensively evaluated, and a manager can discard the energy storage battery in time, thereby effectively reducing potential safety hazards; the specific operation process of the performance comprehensive evaluation module is as follows:
acquiring the production interval duration and the charging frequency of the energy storage power supply, wherein the production interval duration is a data value representing the interval duration of the production date from the current date, and the charging frequency is a data value representing the charging frequency of the energy storage power supply in the historical operation process; respectively comparing the production interval duration and the charging frequency with a preset production interval duration threshold value and a preset charging frequency threshold value, and if the production interval duration or the charging frequency exceeds the corresponding preset threshold value, indicating that the life state of the energy storage power supply is poor, generating a performance comprehensive evaluation disqualification signal of the energy storage power supply;
if the production interval duration and the charging frequency do not exceed the corresponding preset thresholds, obtaining the electricity storage abnormal value of the energy storage power supply through analysis, wherein the electricity storage abnormal value is specifically: acquiring the time when the electric quantity of the energy storage power supply reaches a preset upper limit threshold value of electricity storage during charging, and calculating the time difference between the time when the charging is finished and the time when the electric quantity reaches the preset upper limit threshold value of electricity storage to obtain single overcharging time; summing all the single overcharge duration of the energy storage power supply in the historical operation process to obtain an overcharge analysis value, and carrying out average value calculation on all the single overcharge duration to obtain an overcharge differential analysis value;
acquiring the time when the electric quantity of the energy storage power supply starts to be lower than the lower limit threshold value of the electricity storage when the energy storage power supply is used, marking the time as a first time, acquiring the time when the electric quantity of the energy storage power supply starts to be recovered to the lower limit threshold value of the electricity storage and marking the time as a second time, and calculating the time difference between the second time and the first time to obtain the duration of low electricity; summing all low-electricity duration time of the energy storage power supply in the historical operation process to obtain a low-electricity time analysis value, and carrying out average value calculation on all low-electricity duration time to obtain a low-electricity different analysis value;
by the formulaPerforming numerical calculation on the overcharge-time analysis value CF, the overcharge-time abnormal analysis value CR, the low-electricity analysis value CP and the low-electricity abnormal analysis value CK of the energy storage power supply to obtain an electricity storage abnormal value CY; wherein, hp1, hp2, hp3, hp4 are preset proportionality coefficients, hp2 > hp4 > hp1 > hp3 > 0; and, the larger the value of the stored electricity abnormal value CY, the worse the life state of the energy storage power supply is indicated;
the method comprises the steps of obtaining the duration of an energy storage power supply in an environment early warning state and the duration of the energy storage power supply in an operation early warning state in a historical operation process, marking the duration as a ring warning total time value and a traffic warning total time value respectively, obtaining the fault frequency of the energy storage power supply in the historical operation process, and carrying out numerical calculation on the fault frequency WR, the electricity storage abnormal value WK, the ring warning total time value WQ and the traffic warning total time value WD through a formula WP=b1+b2+WK+b3+WQ+b4; wherein b1, b2, b3 and b4 are preset proportionality coefficients, b1 > b2 > b4 > b3 > 0; and the larger the value of the energy storage comprehensive evaluation value WP is, the worse the life state of the energy storage power supply is indicated in the comprehensive aspect, and the larger the safety risk of continuous use is;
comparing the energy storage comprehensive evaluation value WP with a preset energy storage comprehensive evaluation threshold value, and if the energy storage comprehensive evaluation value WP exceeds the preset energy storage comprehensive evaluation threshold value, indicating that the life state of the energy storage power supply is poor in integration, generating a performance comprehensive evaluation disqualification signal of the energy storage power supply; if the energy storage comprehensive evaluation value WP does not exceed the preset energy storage comprehensive evaluation threshold value, indicating that the life state of the energy storage power supply is good in combination, generating a performance comprehensive evaluation qualified signal of the energy storage power supply.
Embodiment two: as shown in fig. 2, the difference between the present embodiment and embodiment 1 is that the processor is communicatively connected with the power supply environment detection module, the power supply environment detection module detects the environment where the energy storage power supply is located, determines the environment risk state of the energy storage power supply, and sends the determination information to the supervision and early warning terminal through the processor, so that the manager can grasp the environment risk state of the energy storage power supply in detail, and thus make corresponding regulation measures in time, and further ensure safe and stable operation of the energy storage power supply; the specific analysis process of the power supply environment detection module is as follows:
acquiring the environmental temperature, the environmental humidity, the environmental air pressure and the environmental illumination intensity of the environment where the energy storage power supply is located, calculating the difference value between the environmental temperature and a preset standard environmental temperature value, taking an absolute value to obtain an annular temperature analysis value, and acquiring an annular humidity analysis value, an annular pressure analysis value and an annular light analysis value in the same way; collecting smoke concentration data of an environment where an energy storage power supply is located;
by the formulaPerforming numerical calculation on smoke concentration data GY, a ring temperature analysis value GW, a ring humidity analysis value GS, a ring pressure analysis value GP and a ring light analysis value GR to obtain an environment detection value GK; wherein, hy1, hy2, hy3, hy4 and hy5 are preset proportionality coefficients, and the values of hy1, hy2, hy3, hy4 and hy5 are all larger than zero;
the magnitude of the environment detection value GK is in a direct proportion relation with the smoke concentration data GY, the ring temperature analysis value GW, the ring humidity analysis value GS, the ring pressure analysis value GP and the ring light analysis value GR, and the larger the magnitude of the environment detection value GK is, the worse the environment performance of the energy storage source is, and the safety operation of the energy storage source is not facilitated; and comparing the environment detection value with a preset environment detection threshold value, and judging that the energy storage power supply is in an environment early warning state if the environment detection value exceeds the preset environment detection threshold value, which indicates that the environment where the energy storage power supply is positioned is poor in performance.
Embodiment III: as shown in fig. 2, the difference between the present embodiment and embodiments 1 and 2 is that the processor is in communication connection with the power operation detection module, the power operation detection module detects the operation abnormality of the energy storage power supply, determines the operation risk state of the energy storage power supply, and sends the determination information to the monitoring and early warning terminal through the processor, so that the manager can grasp the operation abnormality of the energy storage power supply in detail, thereby making corresponding regulation measures in time, and reducing the potential safety hazard in the operation process of the energy storage power supply; the specific operation process of the power supply operation detection module is as follows:
collecting real-time temperatures at a plurality of positions on an energy storage power supply, summing the deviation values of the real-time temperatures at the plurality of positions compared with the median value of a preset real-time temperature range, taking a mean value to obtain a stored temperature test value, comparing the real-time temperatures at the corresponding positions with the preset real-time temperature range in a numerical mode, marking the corresponding positions as energy storage different-temperature points if the real-time temperatures are not in the preset real-time temperature range, and marking the number of the energy storage different-temperature points as energy storage different-temperature decision values; the vibration detection data are data magnitude values representing the vibration of the energy storage power supply due to impact or the influence of the operation of the energy storage power supply;
performing numerical calculation on the vibration detection data YZ, the energy storage abnormal temperature decision value YR and the energy storage temperature test value YF through a formula YK=a1×YZ+ (a2×YR+a3×YF)/2 to obtain a power supply running value YK; wherein a1, a2 and a3 are preset proportionality coefficients, a2 > a3 > a1 > 0; and the larger the value of the power supply operation value YK is, the worse the operation condition of the energy storage power supply is, and the larger the operation risk is; and comparing the power supply operation value YK with a preset power supply operation threshold value, and judging an operation early warning state at the energy storage power supply if the power supply operation value YK exceeds the preset power supply operation threshold value, which indicates that the operation risk of the energy storage power supply is large.
The working principle of the invention is as follows: when the energy storage power supply charging and discharging system is used, the charging and discharging voltage flow detection module is used for monitoring the voltage flow performance condition of the energy storage power supply in the charging and discharging process, and the charging and discharging voltage flow qualification signal or the charging and discharging voltage flow disqualification signal is generated through analysis, so that the abnormal voltage flow performance condition of the energy storage power supply in the charging and discharging process can be accurately fed back, and the safe and stable operation of the energy storage power supply is ensured; the electricity storage performance of the energy storage power supply is analyzed through the electricity storage decision analysis module, and the electricity storage abnormal condition of the energy storage power supply can be accurately fed back through analysis to generate an electricity storage abnormal signal or an electricity storage normal signal, so that the safe and stable operation of the energy storage power supply is further ensured; and comprehensively evaluating the service performance of the energy storage power supply through the performance comprehensive evaluation module, judging the life state of the energy storage power supply, generating a performance comprehensive evaluation disqualification signal or a performance comprehensive evaluation qualification signal of the energy storage power supply, comprehensively and comprehensively evaluating the life state of the energy storage battery, scrapping the energy storage power supply with poor life state in time, and effectively reducing the potential safety hazard and the use risk of the energy storage power supply.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (3)
1. The energy storage power supply fault detection early warning system is characterized by comprising a processor, a charge-discharge voltage flow detection module, a power storage decision analysis module, a performance comprehensive evaluation module and a supervision early warning terminal; the charge-discharge voltage flow detection module monitors the voltage flow performance of the energy storage power supply in the charge and discharge process, generates a charge-discharge voltage flow qualified signal or a charge-discharge voltage flow unqualified signal through analysis, and sends the charge-discharge voltage flow unqualified signal to the supervision and early-warning terminal through the processor;
the power storage decision analysis module analyzes the power storage performance of the energy storage power supply, generates a power storage abnormal signal or a power storage normal signal through analysis, and sends the power storage abnormal signal to the supervision and early warning terminal through the processor; the performance comprehensive evaluation module is used for comprehensively evaluating the use performance of the energy storage power supply, judging the life state of the energy storage power supply, generating a performance comprehensive evaluation disqualification signal or a performance comprehensive evaluation qualification signal of the energy storage power supply, and transmitting the performance comprehensive evaluation disqualification signal to the supervision and early warning terminal through the processor;
the specific operation process of the performance comprehensive evaluation module comprises the following steps:
acquiring the production interval duration and the charging frequency of an energy storage power supply, wherein the production interval duration is a data value representing the interval time size of the production date from the current date; respectively carrying out numerical comparison on the production interval duration and the charging frequency and a preset production interval duration threshold value and a preset charging frequency threshold value, and generating a performance comprehensive evaluation disqualification signal of the energy storage power supply if the production interval duration or the charging frequency exceeds the corresponding preset threshold value;
if the production interval duration and the charging frequency do not exceed the corresponding preset thresholds, acquiring an electricity storage abnormal value of the energy storage power supply through analysis, acquiring duration of the energy storage power supply in an environment early warning state and duration of the energy storage power supply in an operation early warning state in a historical operation process, marking the duration as a ring warning total time value and a traffic warning total time value respectively, acquiring a fault frequency of the energy storage power supply in the historical operation process, and carrying out numerical calculation on the fault frequency, the electricity storage abnormal value, the ring warning total time value and the traffic warning total time value to obtain an energy storage comprehensive evaluation value; comparing the energy storage comprehensive evaluation value with a preset energy storage comprehensive evaluation threshold value, and generating a performance comprehensive evaluation disqualification signal of the energy storage power supply if the energy storage comprehensive evaluation value exceeds the preset energy storage comprehensive evaluation threshold value; if the energy storage comprehensive evaluation value does not exceed the preset energy storage comprehensive evaluation threshold value, generating a performance comprehensive evaluation qualified signal of the energy storage power supply;
the processor is in communication connection with the power supply environment detection module and the power supply operation detection module, the power supply environment detection module detects the environment where the energy storage power supply is located, judges the environment risk state of the energy storage power supply, and sends judging information to the supervision and early warning terminal through the processor; the power supply operation detection module detects the operation abnormality of the energy storage power supply, judges the operation risk state of the energy storage power supply, and sends judgment information to the supervision and early warning terminal through the processor;
the specific analysis process of the power supply environment detection module comprises the following steps:
acquiring the environmental temperature, the environmental humidity, the environmental air pressure and the environmental illumination intensity of the environment where the energy storage power supply is located, calculating the difference value between the environmental temperature and a preset standard environmental temperature value, taking an absolute value to obtain an annular temperature analysis value, and acquiring an annular humidity analysis value, an annular pressure analysis value and an annular light analysis value in the same way; collecting smoke concentration data of the environment where the energy storage power supply is located, and carrying out numerical calculation on the smoke concentration data, the ring temperature analysis value, the ring humidity analysis value, the ring pressure analysis value and the ring light analysis value to obtain an environment detection value; comparing the environment detection value with a preset environment detection threshold value, and judging that the energy storage power supply is in an environment early warning state if the environment detection value exceeds the preset environment detection threshold value;
the specific operation process of the power supply operation detection module comprises the following steps:
collecting real-time temperatures at a plurality of positions on an energy storage power supply, summing the deviation values of the real-time temperatures at the plurality of positions compared with the median value of a preset real-time temperature range, taking a mean value to obtain a stored temperature test value, comparing the real-time temperatures at the corresponding positions with the preset real-time temperature range in a numerical mode, marking the corresponding positions as energy storage different-temperature points if the real-time temperatures are not in the preset real-time temperature range, and marking the number of the energy storage different-temperature points as energy storage different-temperature decision values; the vibration detection data of the energy storage power supply are collected, and the vibration detection data, the energy storage abnormal temperature decision value and the stored temperature check value are subjected to numerical calculation to obtain a power supply operation value; comparing the power supply operation value with a preset power supply operation threshold value, and judging an operation early warning state at the energy storage power supply if the power supply operation value exceeds the preset power supply operation threshold value;
the analysis and acquisition method of the electricity storage abnormal value is as follows:
acquiring the time when the electric quantity of the energy storage power supply reaches a preset upper limit threshold value of electricity storage during charging, and calculating the time difference between the time when the charging is finished and the time when the electric quantity reaches the preset upper limit threshold value of electricity storage to obtain single overcharging time; summing all the single overcharge duration of the energy storage power supply in the historical operation process to obtain an overcharge analysis value, and carrying out average value calculation on all the single overcharge duration to obtain an overcharge differential analysis value;
acquiring the time when the electric quantity of the energy storage power supply starts to be lower than the lower limit threshold value of the electricity storage when the energy storage power supply is used, marking the time as a first time, acquiring the time when the electric quantity of the energy storage power supply starts to be recovered to the lower limit threshold value of the electricity storage and marking the time as a second time, and calculating the time difference between the second time and the first time to obtain the duration of low electricity; summing all low-electricity duration time of the energy storage power supply in the historical operation process to obtain a low-electricity time analysis value, and carrying out average value calculation on all low-electricity duration time to obtain a low-electricity different analysis value; and carrying out numerical calculation on the overcharge-time analysis value, the overcharge-abnormal analysis value, the low-electricity analysis value and the low-electricity abnormal analysis value of the energy storage power supply to obtain the electricity storage abnormal value.
2. The energy storage power failure detection and early warning system according to claim 1, wherein the specific operation process of the charge-discharge voltage flow detection module comprises:
acquiring a voltage curve and a current curve of the energy storage power supply in the charging or discharging process of the energy storage power supply, and acquiring a voltage fluctuation value and a current fluctuation value of the corresponding charging or discharging process based on the voltage curve and the current curve; respectively carrying out numerical comparison on the voltage fluctuation value and the current fluctuation value and a preset voltage fluctuation threshold value and a preset current fluctuation threshold value, and if the voltage fluctuation value or the current fluctuation value exceeds the corresponding preset threshold value, generating a charging and discharging voltage current disqualification signal corresponding to a charging or discharging process;
if the voltage fluctuation value and the current fluctuation value do not exceed the corresponding preset thresholds, placing a voltage curve into a rectangular coordinate system positioned in a first quadrant, drawing two voltage threshold straight lines parallel to an X axis in the rectangular coordinate system, marking the time length of the voltage curve which is not positioned in the two voltage threshold straight lines as a pressure difference time length, and carrying out ratio calculation on the pressure difference time length and the total time length corresponding to the charging or discharging process to obtain a pressure difference time analysis value; similarly, obtaining a flow abnormal time analysis value;
performing numerical calculation on the voltage fluctuation value, the current fluctuation value, the voltage abnormal analysis value and the current abnormal analysis value to obtain a charge-discharge unstable value, performing numerical comparison on the charge-discharge unstable value and a preset charge-discharge unstable threshold value, and generating a charge-discharge voltage flow disqualification signal corresponding to a charge or discharge process if the charge-discharge unstable value exceeds the preset charge-discharge unstable threshold value; if the charge-discharge unstable value does not exceed the preset charge-discharge unstable threshold value, a charge-discharge voltage flow qualification signal corresponding to the charge or discharge process is generated.
3. The energy storage power failure detection and early warning system according to claim 1, wherein the specific analysis process of the electricity storage decision analysis module comprises:
when the energy storage power supply is charged, acquiring electric quantity duty ratio data of the energy storage power supply at the beginning of charging and marking the electric quantity duty ratio data as initial electric detection data, and acquiring electric quantity duty ratio data of the energy storage power supply at the end of charging and marking the electric quantity duty ratio data as terminal electric detection data, and obtaining electric energy required by the current charging process and marking the electric energy as electric demand data based on the terminal electric detection data and the initial electric detection data;
the method comprises the steps of obtaining actual power consumption of an energy storage power supply in the current charging process, marking the actual power consumption as a charging actual measurement value, carrying out difference value calculation on the charging actual measurement value and electricity demand data, taking an absolute value to obtain a charging bias measurement value, carrying out summation calculation on all the charging bias measurement values in unit time, and taking an average value to obtain a charging bias measurement value; if the charging deviation value exceeds a preset charging deviation threshold value, generating a power storage abnormal signal; if the charging deviation value does not exceed the preset charging deviation threshold value, generating a power storage normal signal.
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