Revenue calculation method and device of energy storage system, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a revenue calculation method and device of an energy storage system, electronic equipment and a storage medium, and relates to the technical field of energy management, and the method comprises the steps: obtaining first electric quantity data corresponding to a target time period from an electric quantity statistics device, acquiring second electric quantity data corresponding to the target time period from the battery management system, and acquiring power data corresponding to the target time period from the power change system; if the electric quantity statistical device is not abnormal, calculating a first energy income corresponding to the target time period according to the first electric quantity data; and if the electric quantity statistical device is abnormal, performing calculation according to the second electric quantity data and the power data to obtain a second energy income corresponding to the target time period, thereby ensuring the stability and accuracy of income calculation.

Description

Technical Field

[0001] The present invention relates to the field of energy management technology, and in particular to a method for calculating the revenue of an energy storage system, a device for calculating the revenue of an energy storage system, an electronic device, and a computer-readable storage medium. Background Art

[0002] An energy storage system is a device or system that can store and release energy. Its main purpose is to store energy when energy demand is low and release energy when demand is high, so as to balance the supply and demand of electricity, improve energy utilization efficiency, reduce energy waste, and support the stable access of renewable energy. Energy storage systems are widely used in power systems, transportation, industrial production, household electricity and other fields. Among them, for energy storage systems, the energy of the system can be calculated in terms of benefits during the process of storing and releasing energy. However, in the process of calculating benefits, when the data is abnormal, the actual benefits of the energy storage system cannot be calculated. Summary of the invention

[0003] The embodiments of the present invention provide a method, device, electronic device and computer-readable storage medium for calculating the revenue of an energy storage system, so as to solve or partially solve the problem that the energy storage system cannot effectively calculate the actual revenue.

[0004] The embodiment of the present invention discloses a revenue calculation method for an energy storage system, which is applied to an energy storage system, wherein the energy storage system at least includes an electric quantity statistics device, an energy management system, a power variation system, and a battery management system. The method includes:

[0005] Acquire first power data corresponding to the target time period from the power statistics device, acquire second power data corresponding to the target time period from the battery management system, and acquire power data corresponding to the target time period from the power change system;

[0006] If the power statistics device does not have any abnormality, calculating the first energy benefit corresponding to the target time period according to the first power data;

[0007] If the power statistics device is abnormal, a calculation is performed based on the second power data and the power data to obtain a second energy benefit corresponding to the target time period.

[0008] In some feasible implementations, the method further includes:

[0009] Detecting the electric quantity statistics device according to the first electric quantity data and the power data, and generating state information for characterizing the electric quantity statistics device;

[0010] The state information is used to indicate that the power statistics device is in one of the following states: no change in power data, a first abnormal state, and a second abnormal state.

[0011] In some feasible implementations, the first power data includes first charging data corresponding to the start of charging of the energy storage system in the target time period and second charging data corresponding to the end of charging, the power data includes the charging power and charging duration corresponding to the target time period, and the detecting the power statistics device according to the first power data and the power data to generate status information for characterizing the power statistics device includes:

[0012] taking the difference between the second charging data and the first charging data as a first actual charging amount during the target time period;

[0013] Determine an adjustment coefficient for the charging power, and calculate an estimated charging amount corresponding to the target time period using the charging power, the charging duration, and the adjustment coefficient;

[0014] The electric quantity statistics device is detected according to the first actual charged quantity and the charged estimated quantity, and status information for characterizing the electric quantity statistics device is generated.

[0015] In some feasible implementations, the adjustment coefficient includes at least an upper limit adjustment coefficient and a lower limit adjustment coefficient, the estimated charge amount includes an upper limit charge value corresponding to the upper limit adjustment coefficient and a lower limit charge value corresponding to the lower limit adjustment coefficient, and the detecting the power statistics device according to the first actual charge amount and the estimated charge amount to generate status information for characterizing the power statistics device includes:

[0016] If the first actual charged amount is less than the estimated charging lower limit, generating first state information for the power statistics device, wherein the first state information is used to indicate that the power statistics device is in a second abnormal state;

[0017] If the first actual charged amount is greater than the estimated upper limit of charging, second state information for the electric quantity statistics device is generated, where the second state information is used to indicate that the electric quantity statistics device is in a first abnormal state.

[0018] In some feasible implementations, the first power data includes first discharge data corresponding to the start of discharge of the energy storage system in the target time period and second discharge data corresponding to the end of discharge, and the power data includes discharge power and discharge duration corresponding to the target time period. The detecting of the power statistics device according to the first power data and the power data to generate status information for characterizing the power statistics device includes:

[0019] taking the difference between the second discharge data and the first discharge data as the first actual discharge amount during the target time period;

[0020] Determine an adjustment coefficient for the discharge power, and calculate an estimated discharge amount corresponding to the target time period using the discharge power, the discharge duration, and the adjustment coefficient;

[0021] The electric quantity statistics device is detected according to the first actual discharge quantity and the discharge estimated quantity, and state information for characterizing the electric quantity statistics device is generated.

[0022] In some feasible implementations, the adjustment coefficient includes at least an upper limit adjustment coefficient and a lower limit adjustment coefficient, the discharge estimated amount includes a discharge estimated upper limit value corresponding to the upper limit adjustment coefficient and a discharge estimated lower limit value corresponding to the lower limit adjustment coefficient, and the detecting the power statistics device according to the first actual discharge amount and the discharge estimated amount to generate status information for characterizing the power statistics device includes:

[0023] If the first actual discharge amount is less than the discharge estimation lower limit value, generating first state information for the power statistics device, wherein the first state information is used to indicate that the power statistics device is in a second abnormal state;

[0024] If the first actual discharge amount is greater than the discharge estimation upper limit value, second state information for the power statistics device is generated, where the second state information is used to indicate that the power statistics device is in a first abnormal state.

[0025] In some feasible implementations, the power data includes at least charging power, charging duration, discharging power and discharging duration, the second power data includes at least a second actual charging amount and a second actual discharging amount, and if the power statistics device is abnormal, calculating according to the second power data and the power data to obtain a second energy benefit corresponding to the target time period includes:

[0026] If the power statistics device is in the second abnormal state or the first abnormal state, the charging power and the charging duration are used to calculate the target charging amount corresponding to the power statistics device, and the discharging power and the discharging duration are used to calculate the target discharging amount corresponding to the power statistics device;

[0027] respectively calculating the difference between the first actual charge amount and the second actual charge amount and the target charge amount, and taking the actual charge amount with the smaller difference as the target charge amount corresponding to the power statistics device;

[0028] respectively calculating the difference between the first actual discharge amount and the second actual discharge amount and the target discharge amount, and taking the actual discharge amount with the smaller difference as the target discharge amount corresponding to the power statistics device;

[0029] Obtaining the charging electricity price and the discharging electricity price corresponding to the target time period;

[0030] The target charging amount and the charging electricity price, the target discharging amount and the discharging electricity price are used for calculation to obtain a second energy benefit corresponding to the target time period.

[0031] In some feasible implementations, the second power data includes at least a second actual charge amount and a second actual discharge amount, and if the power statistics device is abnormal, calculating according to the second power data and the power data to obtain a second energy benefit corresponding to the target time period includes:

[0032] If the electricity quantity statistics device is in a state where the electricity quantity data does not change, then obtaining the charging electricity price and the discharging electricity price corresponding to the target time period;

[0033] The second actual charge amount and the charge electricity price, as well as the second actual discharge amount and the discharge electricity price, are used to perform calculations to obtain a second energy benefit corresponding to the target time period.

[0034] In some feasible implementations, the first power data includes at least a first actual charge amount and a first actual discharge amount, and calculating the first energy benefit corresponding to the target time period according to the first power data includes:

[0035] Obtaining the charging electricity price and the discharging electricity price corresponding to the target time period;

[0036] The first actual charge amount and the charge electricity price, as well as the first actual discharge amount and the discharge electricity price, are used to perform calculations to obtain a first energy benefit corresponding to the target time period.

[0037] The embodiment of the present invention further discloses a revenue calculation device for an energy storage system, which is applied to an energy storage system. The energy storage system at least includes an electricity statistics device, an energy management system, a power change system, and a battery management system. The device includes:

[0038] A data acquisition module, used to acquire first power data corresponding to a target time period from the power statistics device, acquire second power data corresponding to the target time period from the battery management system, and acquire power data corresponding to the target time period from the power change system;

[0039] A first benefit calculation module, configured to calculate a first energy benefit corresponding to the target time period according to the first power data if the power statistics device does not have any abnormality;

[0040] The second benefit calculation module is used to calculate according to the second power data and the power data to obtain the second energy benefit corresponding to the target time period if the power statistics device is abnormal.

[0041] In some feasible implementations, the device further includes:

[0042] a detection module, configured to detect the electric quantity statistics device according to the first electric quantity data and the power data, and generate status information for characterizing the electric quantity statistics device;

[0043] The state information is used to indicate that the power statistics device is in one of the following states: no change in power data, a first abnormal state, and a second abnormal state.

[0044] In some feasible implementations, the first power data includes first charging data corresponding to the start of charging of the energy storage system in the target time period and second charging data corresponding to the end of charging, the power data includes the charging power and charging duration corresponding to the target time period, and the detection module is specifically used for:

[0045] taking the difference between the second charging data and the first charging data as a first actual charging amount during the target time period;

[0046] Determine an adjustment coefficient for the charging power, and calculate an estimated charging amount corresponding to the target time period using the charging power, the charging duration, and the adjustment coefficient;

[0047] The electric quantity statistics device is detected according to the first actual charged quantity and the charged estimated quantity, and status information for characterizing the electric quantity statistics device is generated.

[0048] In some feasible implementations, the adjustment coefficient includes at least an upper limit adjustment coefficient and a lower limit adjustment coefficient, the charging estimated value includes a charging upper limit value corresponding to the upper limit adjustment coefficient and a charging lower limit value corresponding to the lower limit adjustment coefficient, and the detection module is specifically used to:

[0049] If the first actual charged amount is less than the estimated charging lower limit, generating first state information for the power statistics device, wherein the first state information is used to indicate that the power statistics device is in a second abnormal state;

[0050] If the first actual charged amount is greater than the estimated upper limit of charging, second state information for the electric quantity statistics device is generated, where the second state information is used to indicate that the electric quantity statistics device is in a first abnormal state.

[0051] In some feasible implementations, the first electric quantity data includes first discharge data corresponding to the start of discharge of the energy storage system in the target time period and second discharge data corresponding to the end of discharge, the power data includes discharge power and discharge duration corresponding to the target time period, and the detection module is specifically used for:

[0052] taking the difference between the second discharge data and the first discharge data as the first actual discharge amount during the target time period;

[0053] Determine an adjustment coefficient for the discharge power, and calculate an estimated discharge amount corresponding to the target time period using the discharge power, the discharge duration, and the adjustment coefficient;

[0054] The electric quantity statistics device is detected according to the first actual discharge quantity and the discharge estimated quantity, and state information for characterizing the electric quantity statistics device is generated.

[0055] In some feasible implementations, the adjustment coefficient includes at least an upper limit adjustment coefficient and a lower limit adjustment coefficient, the discharge estimation amount includes a discharge estimation upper limit value corresponding to the upper limit adjustment coefficient and a discharge estimation lower limit value corresponding to the lower limit adjustment coefficient, and the detection module is specifically used for:

[0056] If the first actual discharge amount is less than the discharge estimation lower limit value, generating first state information for the power statistics device, wherein the first state information is used to indicate that the power statistics device is in a second abnormal state;

[0057] If the first actual discharge amount is greater than the discharge estimation upper limit value, second state information for the power statistics device is generated, where the second state information is used to indicate that the power statistics device is in a first abnormal state.

[0058] In some feasible implementations, the power data includes at least charging power, charging duration, discharging power, and discharging duration, the second power data includes at least a second actual charging amount and a second actual discharging amount, and the second revenue calculation module is specifically used for:

[0059] If the power statistics device is in the second abnormal state or the first abnormal state, the charging power and the charging duration are used to calculate the target charging amount corresponding to the power statistics device, and the discharging power and the discharging duration are used to calculate the target discharging amount corresponding to the power statistics device;

[0060] respectively calculating the difference between the first actual charge amount and the second actual charge amount and the target charge amount, and taking the actual charge amount with the smaller difference as the target charge amount corresponding to the power statistics device;

[0061] respectively calculating the difference between the first actual discharge amount and the second actual discharge amount and the target discharge amount, and taking the actual discharge amount with the smaller difference as the target discharge amount corresponding to the power statistics device;

[0062] Obtaining the charging electricity price and the discharging electricity price corresponding to the target time period;

[0063] The target charging amount and the charging electricity price, the target discharging amount and the discharging electricity price are used for calculation to obtain a second energy benefit corresponding to the target time period.

[0064] In some feasible implementations, the second power data includes at least a second actual charge amount and a second actual discharge amount, and the second revenue calculation module is specifically used to:

[0065] If the electricity quantity statistics device is in a state where the electricity quantity data does not change, then obtaining the charging electricity price and the discharging electricity price corresponding to the target time period;

[0066] The second actual charge amount and the charge electricity price, as well as the second actual discharge amount and the discharge electricity price, are used to perform calculations to obtain a second energy benefit corresponding to the target time period.

[0067] In some feasible implementations, the first power data includes at least a first actual charge amount and a first actual discharge amount, and the first revenue calculation module is specifically used to:

[0068] Obtaining the charging electricity price and the discharging electricity price corresponding to the target time period;

[0069] The first actual charge amount and the charge electricity price, as well as the first actual discharge amount and the discharge electricity price, are used to perform calculations to obtain a first energy benefit corresponding to the target time period.

[0070] The embodiment of the present invention further discloses an electronic device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

[0071] The memory is used to store computer programs;

[0072] The processor is used to implement the method described in the embodiment of the present invention when executing the program stored in the memory.

[0073] The embodiment of the present invention further discloses a computer-readable storage medium having instructions stored thereon, which, when executed by one or more processors, enables the processors to execute the method described in the embodiment of the present invention.

[0074] The embodiments of the present invention include the following advantages:

[0075] In an embodiment of the present invention, the energy storage system may include an electric quantity statistics device, an energy management system, a power change system, and a battery management system, wherein the electric quantity statistics device may be used to determine the first electric quantity data of the energy storage system, and the battery management system may be used to record the second electric quantity data of the energy storage system. During the operation of the energy storage system, the power change system may be used to record the power data corresponding to the energy storage system. When calculating the corresponding benefit of the energy storage system, the first electric quantity data corresponding to the target time period may be obtained from the electric quantity statistics device, and the second electric quantity data corresponding to the target time period may be obtained from the battery management system, and the power data corresponding to the target time period may be obtained from the power change system. If the electric quantity statistics device is normal, the first energy benefit corresponding to the target time period is calculated according to the first electric quantity data; if the electric quantity statistics device is abnormal, the second energy benefit corresponding to the target time period is calculated according to the second electric quantity data and the power data, so as to obtain the second energy benefit corresponding to the target time period. Therefore, in the process of calculating the benefit, when the system is abnormal, the corresponding benefit can still be calculated according to the data recorded by the power change system and the battery management system, thereby ensuring the stability and accuracy of the benefit calculation. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 is a flowchart of a method for calculating the revenue of an energy storage system provided in an embodiment of the present invention;

[0077] Figure 2 is a schematic diagram of an application scenario provided in an embodiment of the present invention;

[0078] Figure 3 is a structural block diagram of a revenue calculation device for an energy storage system provided in an embodiment of the present invention;

[0079] Figure 4 It is a block diagram of an electronic device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0080] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0081] As an example, an energy storage system can usually be designed as a system that can both charge and discharge, that is, the energy storage system can receive electrical energy from an external power source and store it (the charging process), and then release the stored electrical energy when needed (the discharging process). This bidirectional energy flow capability is one of the core functions of the energy storage system. Among them, the energy storage system receives electrical energy by connecting to the power grid, solar panels, wind turbines or other power sources, and the received electrical energy is stored in the system's energy storage devices, such as batteries, flywheels, compressed air or molten salt. When electrical energy is needed, the energy storage system releases the stored energy, usually by converting DC power into AC power through an inverter to meet the needs of the power grid or load.

[0082] Among them, when calculating the benefits of the energy storage system, the benefits can often be calculated through the difference in electricity prices. In the process of calculating the benefits, the energy usage is an important basis for the calculation. Once there is a data error in the usage, it will lead to serious deviations in the results of the benefit calculation.

[0083] In this regard, in an embodiment of the present invention, applied to an energy storage system, the energy storage system may include an electric quantity statistics device, an energy management system, a power change system and a battery management system, wherein the electric quantity statistics device may be used to determine the first electric quantity data of the energy storage system, and the battery management system may be used to record the second electric quantity data of the energy storage system. During the operation of the energy storage system, the power change system may be used to record the power data corresponding to the energy storage system. When calculating the corresponding benefit of the energy storage system, the first electric quantity data corresponding to the target time period may be obtained from the electric quantity statistics device, and the second electric quantity data corresponding to the target time period may be obtained from the battery management system, and the power data corresponding to the target time period may be obtained from the power change system. If the electric quantity statistics device is not abnormal, the first energy benefit corresponding to the target time period is calculated according to the first electric quantity data; if the electric quantity statistics device is abnormal, the calculation is performed according to the second electric quantity data and the power data to obtain the second energy benefit corresponding to the target time period. Therefore, in the process of calculating the benefit, when the system is abnormal, the corresponding benefit can still be calculated through the data recorded by the power change system and the battery management system, thereby ensuring the stability and accuracy of the benefit calculation.

[0084] Reference Figure 1 , shows a flow chart of the steps of a method for calculating the revenue of an energy storage system provided in an embodiment of the present invention, which is applied to an energy storage system, wherein the energy storage system at least includes an electricity statistics device, an energy management system, a power change system, and a battery management system, and specifically may include the following steps:

[0085] Step 101, obtaining first power data corresponding to a target time period from the power statistics device, obtaining second power data corresponding to the target time period from the battery management system, and obtaining power data corresponding to the target time period from the power change system;

[0086] Optionally, the energy storage system may include an electricity statistics device, an energy management system, a power change system, and a battery management system. Among them, the electricity statistics device can be used to determine the actual charging data and discharging data of the energy storage system in the corresponding time period, and the battery management system can be used to record the energy storage system to estimate the corresponding charging data and discharging data of the energy storage system in the corresponding time period; the energy management system can be used to control and protect the energy and control strategies of the energy storage system, as well as to calculate the benefits; the power change system can be used to record the discharge power, charging power, discharge time, and charging time of the energy storage system, so that through the mutual cooperation between the various systems, the charging and discharging of energy can be effectively managed to ensure the rational use of energy.

[0087] During the operation of the energy storage system, when it is necessary to calculate the profit of the corresponding time period, the first power data of the corresponding time period can be obtained from the power statistics device, the second power data corresponding to the corresponding time period can be obtained from the battery management system, and the power data corresponding to the target time period can be obtained from the power change system. Then, it can be judged whether the power statistics device is abnormal based on the first power data, the second power data and the power data. If the power statistics device is abnormal, the first power data may not be suitable for profit calculation, and it is necessary to re-determine the appropriate power data for profit calculation, so as to ensure the accuracy of profit calculation.

[0088] In some feasible implementations, the electric quantity statistics device can be detected according to the first electric quantity data and the power data to generate status information for characterizing the electric quantity statistics device. The status information is used to characterize that the electric quantity statistics device is in one of the following states: no change in electric quantity data, a first abnormal state, and a second abnormal state. The first abnormal state can characterize that the value recorded by the electric quantity statistics device changes too little, and the second abnormal state can characterize that the value recorded by the electric quantity statistics device changes too much. That is, whether the reading of the electric quantity statistics device does not change at all, changes too much, or changes too little, it can be determined that the electric quantity statistics device is abnormal, and the first electric quantity data counted by it may not be suitable for profit calculation, and further judgment and detection are required to ensure the accuracy and rationality of profit calculation.

[0089] It should be noted that the electricity quantity counting device may be a device such as an electricity meter for counting electricity quantity readings. The electricity meter may count the readings corresponding to the charging current and the discharging current. During the counting process, the reading corresponding to the charging current may be set to a positive value, and the reading corresponding to the discharging current may be set to a negative value, thereby counting the corresponding charging and discharging amounts of the energy storage system during the charging and discharging processes.

[0090] In a specific implementation, the first power data may include first charging data corresponding to the start of charging of the energy storage system in the target time period and second charging data corresponding to the end of charging, and the power data includes the charging power and charging duration corresponding to the target time period. The difference between the second charging data and the first charging data may be used as the first actual charging amount of the target time period, and then the adjustment coefficient for the charging power may be determined. The charging estimated amount corresponding to the target time period may be calculated using the charging power, the charging duration and the adjustment coefficient, and then the power statistics device may be detected according to the first actual charging amount and the charging estimated amount to generate status information for characterizing the power statistics device.

[0091] Among them, the adjustment coefficient includes at least an upper limit adjustment coefficient and a lower limit adjustment coefficient, and the charging valuation amount includes a charging upper limit value corresponding to the upper limit adjustment coefficient and a charging lower limit value corresponding to the lower limit adjustment coefficient. Specifically, the charging upper limit value is calculated according to the charging power, the charging time and the upper limit adjustment coefficient, and the charging lower limit value is calculated according to the charging power, the charging time and the lower limit adjustment coefficient. After the corresponding threshold is calculated according to the adjustment coefficient, the first actual charging amount can be compared with the charging upper limit and the recurring lower limit respectively, and the abnormal state of the power statistics device can be judged based on the judgment result. If the first actual charging amount is less than the estimated charging lower limit, first state information for the power statistics device is generated, and the first state information is used to characterize that the power statistics device is in the second abnormal state; if the first actual charging amount is greater than the estimated charging upper limit, second state information for the power statistics device is generated, and the second state information is used to characterize that the power statistics device is in the first abnormal state, so that the corresponding charging data is estimated through the relevant data recorded by the power change system, and the estimated charging data is compared with the actual charging data recorded by the power statistics device, so as to effectively detect the abnormal state corresponding to the power statistics device during the charging process of the energy storage system, so as to adjust the profit calculation strategy based on the abnormal state and ensure the accuracy of the profit calculation.

[0092] In addition, the first electric quantity data includes the first discharge data corresponding to the start of discharge of the energy storage system in the target time period and the second discharge data corresponding to the end of discharge, and the power data includes the discharge power and discharge duration corresponding to the target time period. The difference between the second discharge data and the first discharge data can be used as the first actual discharge quantity of the target time period, and then the adjustment coefficient for the discharge power is determined. The discharge estimated quantity corresponding to the target time period is calculated using the discharge power, discharge duration and the adjustment coefficient, and then the electric quantity statistics device is detected according to the first actual discharge quantity and the discharge estimated quantity to generate a change value for characterizing the electric quantity statistics device.

[0093] Among them, the adjustment coefficient includes at least an upper limit adjustment coefficient and a lower limit adjustment coefficient, and the discharge estimation amount includes a discharge estimation upper limit value corresponding to the upper limit adjustment coefficient and a discharge estimation lower limit value corresponding to the lower limit adjustment coefficient. Specifically, the discharge upper limit value is calculated according to the discharge power, the discharge time and the upper limit adjustment coefficient, and the discharge lower limit value is calculated according to the discharge power, the discharge time and the lower limit adjustment coefficient. After calculating the corresponding threshold value according to the adjustment coefficient, the first actual discharge amount can be compared with the discharge upper limit value and the recurrence lower limit value respectively, and the abnormal state of the power statistics device can be judged based on the judgment result. If the first actual discharge amount is less than the discharge estimated lower limit value, the first state information for the power statistics device is generated, and the first state information is used to characterize that the power statistics device is in the second abnormal state; if the first actual discharge amount is greater than the discharge estimated upper limit value, the second state information for the power statistics device is generated, and the second state information is used to characterize that the power statistics device is in the first abnormal state, so that the corresponding discharge data is estimated through the relevant data recorded by the power change system, and the estimated discharge data is compared with the actual discharge data recorded by the power statistics device, which can effectively detect the abnormal state corresponding to the power statistics device during the discharge process of the energy storage system, so as to adjust the profit calculation strategy based on the abnormal state and ensure the accuracy of the profit calculation.

[0094] Among them, the charging data can be the charging reading of the electric meter, and the charging data can be used to characterize the charging amount of the energy storage system corresponding to the target time period; the discharging data can be the discharging reading of the electric meter, and the discharging data can be used to characterize the discharging amount of the energy storage system corresponding to the target time period; the charging power can be used to characterize the corresponding power when the energy storage system performs the corresponding charging operation in the target time period, the charging duration can be the duration of the continuous use of the charging power, the discharging power can be used to characterize the corresponding power when the energy storage system performs the corresponding discharging operation in the target time period, the discharging duration can be the duration of the continuous use of the discharging power, etc., and the present invention is not limited to this.

[0095] In one example, assuming that the corresponding charging reading of the meter at the beginning of charging in the target time period is Q1, and the corresponding charging reading at the end of charging is Q2, then the actual charging amount in the target time period is Q2-Q1, and correspondingly, the corresponding discharge reading at the beginning of discharging is Q3, and the corresponding discharge reading at the end of discharging is Q4, then the actual discharge amount in the target time period is Q4-Q3. For the power change system, in the case of charging, the recorded charging power can be P1, and the duration can be T1; in the case of discharging, the recorded discharge power can be P2, and the duration can be T2. Among them, the adjustment coefficient can be set to 1.1 and 0.9, among which 1.1 can be the upper limit adjustment coefficient, and 0.9 can be the lower limit adjustment coefficient.

[0096] Based on the above data, assuming that Q2-Q1=680, and P1*T1*1.1=660, that is, the actual charge amount is larger than the estimated charge amount, indicating that the meter is in a state of excessive change value; assuming that Q2-Q1=510, and P1*T1*1.1=540, that is, the actual charge amount is smaller than the estimated charge amount, indicating that the meter is in a state of too small change value. It should be noted that for the discharge process, it can also be judged based on the corresponding processing process, so that the corresponding power data can be estimated through the relevant data recorded by the power change system, and the estimated power data can be compared with the actual discharge data recorded by the power statistics device, which can effectively detect the abnormal state of the power statistics device during the operation of the energy storage system, so as to adjust the profit calculation strategy based on the abnormal state and ensure the accuracy of the profit calculation.

[0097] Step 102: if the power statistics device does not have any abnormality, calculate the first energy benefit corresponding to the target time period according to the first power data;

[0098] In the process of calculating the benefits, the benefits corresponding to the energy storage system can be directly calculated based on the first power data recorded by the power statistics device. Wherein, the first power data at least includes the first actual charge amount and the first actual discharge amount, and the first energy benefit corresponding to the target time period can be obtained by obtaining the charging electricity price and the discharge electricity price corresponding to the target time period, and then using the first actual charge amount and the charging electricity price, and the first actual discharge amount and the discharge electricity price for calculation, so that when the energy storage system is operating normally, the benefits can be calculated through the meter reading and the electricity price.

[0099] In some feasible implementations, the electricity price can be divided into different prices according to the time of electricity use. For example, the electricity price can be divided into peak (peak), flat and valley time periods (the valley period is 0:00-8:00, the flat period is 8:00-10:00, 12:00-14:00, 19:00-24:00, and the peak period is 10:00-12:00, 14:00-19:00), etc. The energy management system can set the above-mentioned time periods, charge and discharge states, and charge and discharge powers, and set the electricity price Rg (valley price), Rp (flat price), Rf (peak price), etc. corresponding to each time period.

[0100] For example: during the valley period from 0:00 to 8:00, the electricity price is Rg, and the charging power is 300kW.

[0101] During the peak period from 10:00 to 12:00, the electricity price is Rf, the discharge power is 300kW.

[0102] During the flat period from 12:00 to 14:00, the electricity price is Rp, charging, and the power is 300kW.

[0103] During the peak period from 14:00 to 19:00, the electricity price is Rf, charging, and the power is 300kW.

[0104] Based on the above electricity price setting, when the electricity meter operates normally, for the target time period, the meter data recorded at the start of charging can be obtained as Q1, and the meter data recorded at the end of charging can be obtained as Q2; the meter data recorded at the start of discharging can be obtained as Q3, and the meter data recorded at the end of discharging can be obtained as Q4, and the electricity price of the time period can be substituted into the corresponding time period.

[0105] From this, we can conclude that the profit calculation method for one cycle is S = [(Q2-Q1)*Rf-(Q4-Q3)*Rg].

[0106] Accordingly, if the income corresponding to multiple time periods is calculated, the income corresponding to each time period can be accumulated to obtain the total income corresponding to multiple time periods:

[0107] Sx=[(Q2-Q1)*Rf-(Q4-Q3)*Rg]+....+[(Qn2-Qn1)*Rf-(Qn4-Qn3)*Rg]

[0108] Step 103: If the power statistics device is abnormal, a calculation is performed based on the second power data and the power data to obtain a second energy benefit corresponding to the target time period.

[0109] In an embodiment of the present invention, when an abnormality is detected in the power statistics device, the power data representing the statistics may be inaccurate, and further detection can be performed to determine what kind of power data to use for profit calculation. Therefore, in the process of calculating the profit, when the system has an abnormality, the corresponding profit can still be calculated through the data recorded by the power change system and the battery management system, thereby ensuring the stability and accuracy of the profit calculation.

[0110] Among them, the power data at least includes charging power, charging time, discharging power and discharging time, and the second electric quantity data at least includes the second actual charging quantity and the second actual discharging quantity. If the electric quantity statistics device is in the second abnormal state or the first abnormal state, the charging power and the charging time can be used to calculate the target charging quantity corresponding to the electric quantity statistics device, and the discharging power and the discharging time can be used to calculate the target discharging quantity corresponding to the electric quantity statistics device, and then the difference between the first actual charging quantity and the second actual charging quantity and the target charging quantity is calculated respectively, and the actual charging quantity with the smaller difference is used as the target charging quantity corresponding to the electric quantity statistics device, and the difference between the first actual discharging quantity and the second actual discharging quantity and the target discharging quantity is calculated respectively, and the actual discharging quantity with the smaller difference is used as the target discharging quantity corresponding to the electric quantity statistics device. After determining the target discharging quantity and the target charging quantity, the charging electricity price and the discharging electricity price corresponding to the target time period can be obtained, and then the target charging quantity and the charging electricity price, and the target discharging quantity and the discharging electricity price are used for calculation to obtain the second energy benefit corresponding to the target time period.

[0111] In addition, if the electricity statistics device is in a state where the electricity data does not change, the charging electricity price and the discharging electricity price corresponding to the target time period are obtained, and then the second actual charging amount and the charging electricity price, and the second actual discharging amount and the discharging electricity price are used for calculation to obtain the second energy benefit corresponding to the target time period. Therefore, when the meter reading does not change, the benefit calculation can be performed based on the electricity data recorded by the electricity management system to ensure the stability and accuracy of the benefit calculation.

[0112] It should be noted that, for the process of profit calculation, reference can be made to the description in the aforementioned embodiments, which will not be repeated here. The embodiments of the present invention include but are not limited to the above examples. It can be understood that in practical applications, the corresponding numerical values ​​can also be adjusted according to actual needs, and the present invention does not limit this.

[0113] In an embodiment of the present invention, the energy storage system may include an electric quantity statistics device, an energy management system, a power change system, and a battery management system, wherein the electric quantity statistics device may be used to determine the first electric quantity data of the energy storage system, and the battery management system may be used to record the second electric quantity data of the energy storage system. During the operation of the energy storage system, the power change system may be used to record the power data corresponding to the energy storage system. When calculating the corresponding benefit of the energy storage system, the first electric quantity data corresponding to the target time period may be obtained from the electric quantity statistics device, and the second electric quantity data corresponding to the target time period may be obtained from the battery management system, and the power data corresponding to the target time period may be obtained from the power change system. If the electric quantity statistics device is normal, the first energy benefit corresponding to the target time period is calculated according to the first electric quantity data; if the electric quantity statistics device is abnormal, the second energy benefit corresponding to the target time period is calculated according to the second electric quantity data and the power data, so as to obtain the second energy benefit corresponding to the target time period. Therefore, in the process of calculating the benefit, when the system is abnormal, the corresponding benefit can still be calculated according to the data recorded by the power change system and the battery management system, thereby ensuring the stability and accuracy of the benefit calculation.

[0114] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, the following examples are used for exemplary description:

[0115] Reference Figure 2 , showing a schematic diagram of an application scenario provided in an embodiment of the present invention. According to actual regulations, the electricity price can be divided into peak (peak), flat and valley time periods (such as valley period is 0:00-8:00, flat period is 8:00-10:00, 12:00-14:00, 19:00-24:00, peak period is 10:00-12:00, 14:00-19:00). Under normal circumstances, the electricity consumption data is counted by the electricity meter.

[0116] In the process of calculating the benefits of the energy storage system, the EMS system can set the above-mentioned time periods, states and charging and discharging powers, and set the electricity prices Rg (valley price), Rp (flat price), and Rf (peak price) for each time period.

[0117] For example: during the valley period from 0:00 to 8:00, the electricity price is Rg, and the charging power is 300kW.

[0118] During the peak period from 10:00 to 12:00, the electricity price is Rf, the discharge power is 300kW.

[0119] During the flat period from 12:00 to 14:00, the electricity price is Rp, charging, and the power is 300kW.

[0120] During the peak period from 14:00 to 19:00, the electricity price is Rf, charging, and the power is 300kW.

[0121] 1. When the EMS (Energy Management System) detects that the meter is normal:

[0122] The revenue is calculated by obtaining the difference in the data recorded by the electric meter and the electricity price of the corresponding time period: the data Q1 recorded by the electric meter is obtained at the beginning of charging, and the data Q2 recorded by the electric meter is obtained at the end of charging; the data Q3 recorded by the electric meter is obtained at the beginning of discharging, and the data Q4 recorded by the electric meter is obtained at the end of discharging, and the electricity price of the corresponding time period is substituted in the corresponding time period. The revenue calculation method for one cycle is:

[0123] S=[(Q2-Q1)*Rf-(Q4-Q3)*Rg]

[0124] Multiple cycles can be accumulated based on

[0125] Sx=[(Q2-Q1)*Rf-(Q4-Q3)*Rg]+....+[(Qn2-Qn1)*Rf-(Qn4-Qn3)*Rg]

[0126] 2. When an abnormality is detected in the meter, the abnormality judgment method and situation are as follows:

[0127] ① If the EMS detection system is fault-free but the meter data remains unchanged, the revenue can be recorded by obtaining and recording the BMS estimated power difference and the corresponding time period for electricity price statistics;

[0128] ② The change value is too large, and it is judged as P (charging or discharging power) * T (PCS (Power Conversion System) charging or discharging power time) * A (the system can be adjusted, such as 1.1); for example, Q2-Q1=680, and P*T*A=300*2*1.1=660.

[0129] ③ The change value is too small, and it is judged as P (charging or discharging power) * T (PCS charging or discharging power time) * A (the system can be adjusted, for example 0.9), for example Q2-Q1=510, and P*T*A=300*2*0.9=540.

[0130] When the EMS detection system has no faults but the meter data has not changed, this is done by obtaining BMS (Battery Management System) data to replace the corresponding Q1, Q2, Q3, Q4, etc.

[0131] When the change value is too large or too small, the power estimated by the BMS in the time period can be obtained and compared with the power meter power situation in the time period and the power situation recorded by the BMS, and the data close to PT (P is the charging and discharging power in the corresponding time period, and T is the operating time in the corresponding time period) is selected for profit calculation.

[0132] It should be noted that, for the sake of simplicity, the method embodiments are described as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0133] Reference Figure 3 , shows a structural block diagram of a revenue calculation device for an energy storage system provided in an embodiment of the present invention, which is applied to an energy storage system. The energy storage system includes at least an electricity statistics device, an energy management system, a power change system, and a battery management system, and may specifically include the following modules:

[0134] The data acquisition module 301 is used to acquire first power data corresponding to the target time period from the power statistics device, acquire second power data corresponding to the target time period from the battery management system, and acquire power data corresponding to the target time period from the power change system;

[0135] A first benefit calculation module 302 is configured to calculate a first energy benefit corresponding to the target time period according to the first power data if the power statistics device does not have any abnormality;

[0136] The second benefit calculation module 303 is used to calculate according to the second power data and the power data to obtain the second energy benefit corresponding to the target time period if the power statistics device is abnormal.

[0137] In some feasible implementations, the device further includes:

[0138] a detection module, configured to detect the electric quantity statistics device according to the first electric quantity data and the power data, and generate status information for characterizing the electric quantity statistics device;

[0139] The state information is used to indicate that the power statistics device is in one of the following states: no change in power data, a first abnormal state, and a second abnormal state.

[0140] In some feasible implementations, the first power data includes first charging data corresponding to the start of charging of the energy storage system in the target time period and second charging data corresponding to the end of charging, the power data includes the charging power and charging duration corresponding to the target time period, and the detection module is specifically used to:

[0141] taking the difference between the second charging data and the first charging data as a first actual charging amount during the target time period;

[0142] Determine an adjustment coefficient for the charging power, and calculate an estimated charging amount corresponding to the target time period using the charging power, the charging duration, and the adjustment coefficient;

[0143] The electric quantity statistics device is detected according to the first actual charged quantity and the charged estimated quantity, and status information for characterizing the electric quantity statistics device is generated.

[0144] In some feasible implementations, the adjustment coefficient includes at least an upper limit adjustment coefficient and a lower limit adjustment coefficient, the charging estimated value includes a charging upper limit value corresponding to the upper limit adjustment coefficient and a charging lower limit value corresponding to the lower limit adjustment coefficient, and the detection module is specifically used to:

[0145] If the first actual charged amount is less than the estimated lower limit of the charged amount, generating first state information for the electric quantity statistics device, wherein the first state information is used to indicate that the electric quantity statistics device is in a second abnormal state;

[0146] If the first actual charged amount is greater than the estimated upper limit of charging, second state information for the electric quantity statistics device is generated, where the second state information is used to indicate that the electric quantity statistics device is in a first abnormal state.

[0147] In some feasible implementations, the first electric quantity data includes first discharge data corresponding to the start of discharge of the energy storage system in the target time period and second discharge data corresponding to the end of discharge, the power data includes discharge power and discharge duration corresponding to the target time period, and the detection module is specifically used for:

[0148] taking the difference between the second discharge data and the first discharge data as the first actual discharge amount during the target time period;

[0149] Determine an adjustment coefficient for the discharge power, and calculate an estimated discharge amount corresponding to the target time period using the discharge power, the discharge duration, and the adjustment coefficient;

[0150] The electric quantity statistics device is detected according to the first actual discharge quantity and the discharge estimated quantity, and state information for characterizing the electric quantity statistics device is generated.

[0151] In some feasible implementations, the adjustment coefficient includes at least an upper limit adjustment coefficient and a lower limit adjustment coefficient, the discharge estimation amount includes a discharge estimation upper limit value corresponding to the upper limit adjustment coefficient and a discharge estimation lower limit value corresponding to the lower limit adjustment coefficient, and the detection module is specifically used for:

[0152] If the first actual discharge amount is less than the discharge estimation lower limit value, generating first state information for the power statistics device, wherein the first state information is used to indicate that the power statistics device is in a second abnormal state;

[0153] If the first actual discharge amount is greater than the discharge estimation upper limit value, second state information for the power statistics device is generated, where the second state information is used to indicate that the power statistics device is in a first abnormal state.

[0154] In some feasible implementations, the power data includes at least charging power, charging duration, discharging power and discharging duration, the second power data includes at least a second actual charging amount and a second actual discharging amount, and the second revenue calculation module 303 is specifically used to:

[0155] If the power statistics device is in the second abnormal state or the first abnormal state, the charging power and the charging duration are used to calculate the target charging amount corresponding to the power statistics device, and the discharging power and the discharging duration are used to calculate the target discharging amount corresponding to the power statistics device;

[0156] respectively calculating the difference between the first actual charge amount and the second actual charge amount and the target charge amount, and taking the actual charge amount with the smaller difference as the target charge amount corresponding to the power statistics device;

[0157] respectively calculating the difference between the first actual discharge amount and the second actual discharge amount and the target discharge amount, and taking the actual discharge amount with the smaller difference as the target discharge amount corresponding to the power statistics device;

[0158] Obtaining the charging electricity price and the discharging electricity price corresponding to the target time period;

[0159] The target charging amount and the charging electricity price, the target discharging amount and the discharging electricity price are used for calculation to obtain a second energy benefit corresponding to the target time period.

[0160] In some feasible implementations, the second power data includes at least a second actual charge amount and a second actual discharge amount, and the second revenue calculation module 303 is specifically used to:

[0161] If the electricity quantity statistics device is in a state where the electricity quantity data does not change, then obtaining the charging electricity price and the discharging electricity price corresponding to the target time period;

[0162] The second actual charge amount and the charge electricity price, as well as the second actual discharge amount and the discharge electricity price, are used to perform calculations to obtain a second energy benefit corresponding to the target time period.

[0163] In some feasible implementations, the first power data includes at least a first actual charge amount and a first actual discharge amount, and the first revenue calculation module 302 is specifically used to:

[0164] Obtaining the charging electricity price and the discharging electricity price corresponding to the target time period;

[0165] The first actual charge amount and the charge electricity price, as well as the first actual discharge amount and the discharge electricity price, are used to perform calculations to obtain a first energy benefit corresponding to the target time period.

[0166] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0167] In addition, an embodiment of the present invention further provides an electronic device, including: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, the various processes of the above-mentioned energy storage system profit calculation method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0168] The embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, each process of the above-mentioned energy storage system benefit calculation method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it is not repeated here. The computer-readable storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0169] Figure 4 A schematic diagram of the hardware structure of an electronic device for implementing various embodiments of the present invention.

[0170] The electronic device 400 includes but is not limited to: a radio frequency unit 401, a network module 402, an audio output unit 403, an input unit 404, a sensor 405, a display unit 406, a user input unit 407, an interface unit 408, a memory 409, a processor 410, and a power supply 411. Those skilled in the art will appreciate that the electronic device structure involved in the embodiments of the present invention does not constitute a limitation on the electronic device, and the electronic device may include more or fewer components than shown in the figure, or combine certain components, or arrange components differently. In the embodiments of the present invention, the electronic device includes but is not limited to a mobile phone, a tablet computer, a laptop computer, a PDA, a vehicle-mounted terminal, a wearable device, and a pedometer.

[0171] It should be understood that in the embodiment of the present invention, the radio frequency unit 401 can be used for receiving and sending signals during information transmission or communication. Specifically, after receiving downlink data from the base station, it is sent to the processor 410 for processing; in addition, uplink data is sent to the base station. Generally, the radio frequency unit 401 includes but is not limited to an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, etc. In addition, the radio frequency unit 401 can also communicate with the network and other devices through a wireless communication system.

[0172] The electronic device provides users with wireless broadband Internet access through the network module 402, such as helping users to send and receive emails, browse web pages, and access streaming media.

[0173] The audio output unit 403 can convert the audio data received by the RF unit 401 or the network module 402 or stored in the memory 409 into an audio signal and output it as sound. Moreover, the audio output unit 403 can also provide audio output related to a specific function performed by the electronic device 400 (for example, a call signal reception sound, a message reception sound, etc.). The audio output unit 403 includes a speaker, a buzzer, a receiver, etc.

[0174] The input unit 404 is used to receive audio or video signals. The input unit 404 may include a graphics processor (GPU) 4041 and a microphone 4042, and the graphics processor 4041 processes the image data of a static picture or video obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The processed image frame can be displayed on the display unit 406. The image frame processed by the graphics processor 4041 can be stored in the memory 409 (or other storage medium) or sent via the radio frequency unit 401 or the network module 402. The microphone 4042 can receive sound and can process such sound into audio data. The processed audio data can be converted into a format output that can be sent to a mobile communication base station via the radio frequency unit 401 in the case of a telephone call mode.

[0175] The electronic device 400 also includes at least one sensor 405, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 4061 according to the brightness of the ambient light, and the proximity sensor can turn off the display panel 4061 and / or the backlight when the electronic device 400 is moved to the ear. As a type of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), and can detect the magnitude and direction of gravity when stationary, which can be used to identify the posture of the electronic device (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tapping), etc.; the sensor 405 can also include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, etc., which will not be repeated here.

[0176] The display unit 406 is used to display information input by the user or information provided to the user. The display unit 406 may include a display panel 4061, which may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.

[0177] The user input unit 407 can be used to receive input digital or character information, and to generate key signal input related to user settings and function control of the electronic device. Specifically, the user input unit 407 includes a touch panel 4071 and other input devices 4072. The touch panel 4071, also known as a touch screen, can collect the user's touch operation on or near it (such as the user's operation on the touch panel 4071 or near the touch panel 4071 using any suitable object or accessory such as a finger, stylus, etc.). The touch panel 4071 may include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into the contact point coordinates, and then sends it to the processor 410, receives the command sent by the processor 410 and executes it. In addition, the touch panel 4071 can be implemented using various types such as resistive, capacitive, infrared and surface acoustic waves. In addition to the touch panel 4071, the user input unit 407 may also include other input devices 4072. Specifically, other input devices 4072 may include but are not limited to a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail here.

[0178] Further, the touch panel 4071 may be covered on the display panel 4061. When the touch panel 4071 detects a touch operation on or near it, it is transmitted to the processor 410 to determine the type of the touch event, and then the processor 410 provides a corresponding visual output on the display panel 4061 according to the type of the touch event. It can be understood that in one embodiment, the touch panel 4071 and the display panel 4061 are used as two independent components to implement the input and output functions of the electronic device, but in some embodiments, the touch panel 4071 and the display panel 4061 can be integrated to implement the input and output functions of the electronic device, which is not limited here.

[0179] The interface unit 408 is an interface for connecting an external device to the electronic device 400. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, an audio input / output (I / O) port, a video I / O port, a headphone port, etc. The interface unit 408 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the electronic device 400 or may be used to transmit data between the electronic device 400 and an external device.

[0180] The memory 409 can be used to store software programs and various data. The memory 409 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory 409 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0181] The processor 410 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. It executes various functions of the electronic device and processes data by running or executing software programs and / or modules stored in the memory 409, and calling data stored in the memory 409, so as to monitor the electronic device as a whole. The processor 410 may include one or more processing units; preferably, the processor 410 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, etc., and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 410.

[0182] The electronic device 400 may also include a power supply 411 (such as a battery) for supplying power to each component. Preferably, the power supply 411 may be logically connected to the processor 410 through a power management system, thereby implementing functions such as charging, discharging, and power consumption management through the power management system.

[0183] In addition, the electronic device 400 includes some functional modules not shown, which will not be described in detail here.

[0184] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0185] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0186] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation modes, which are merely illustrative rather than restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the present invention and the claims, all of which are within the protection of the present invention.

[0187] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the embodiments of the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0188] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0189] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0190] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0191] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0192] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical disks.

[0193] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for calculating the income of an energy storage system, characterized in that: Applied to an energy storage system, the energy storage system at least includes an electric quantity statistics device, an energy management system, a power variation system and a battery management system, the method includes: Acquire first power data corresponding to the target time period from the power statistics device, acquire second power data corresponding to the target time period from the battery management system, and acquire power data corresponding to the target time period from the power change system; If the power statistics device does not have any abnormality, calculating the first energy benefit corresponding to the target time period according to the first power data; If the power statistics device is abnormal, a calculation is performed based on the second power data and the power data to obtain a second energy benefit corresponding to the target time period.

2. The method according to claim 1, characterized in that The method further comprises: Detecting the electric quantity statistics device according to the first electric quantity data and the power data, and generating state information for characterizing the electric quantity statistics device; The state information is used to indicate that the power statistics device is in one of the following states: no change in power data, a first abnormal state, and a second abnormal state.

3. The method according to claim 2, characterized in that The first electric quantity data includes first charging data corresponding to the start of charging of the energy storage system in the target time period and second charging data corresponding to the end of charging, and the power data includes charging power and charging duration corresponding to the target time period. The detecting of the electric quantity statistics device according to the first electric quantity data and the power data to generate status information for characterizing the electric quantity statistics device includes: taking the difference between the second charging data and the first charging data as a first actual charging amount during the target time period; Determine an adjustment coefficient for the charging power, and calculate an estimated charging amount corresponding to the target time period using the charging power, the charging duration, and the adjustment coefficient; The electric quantity statistics device is detected according to the first actual charged quantity and the charged estimated quantity, and status information for characterizing the electric quantity statistics device is generated.

4. The method according to claim 3, characterized in that The adjustment coefficient includes at least an upper limit adjustment coefficient and a lower limit adjustment coefficient, the estimated charge amount includes an upper limit charge value corresponding to the upper limit adjustment coefficient and a lower limit charge value corresponding to the lower limit adjustment coefficient, and the detecting the power statistics device according to the first actual charge amount and the estimated charge amount to generate status information for characterizing the power statistics device includes: If the first actual charged amount is less than the estimated lower limit of the charged amount, generating first state information for the electric quantity statistics device, wherein the first state information is used to indicate that the electric quantity statistics device is in a second abnormal state; If the first actual charged amount is greater than the estimated upper limit of charging, second state information for the electric quantity statistics device is generated, where the second state information is used to indicate that the electric quantity statistics device is in a first abnormal state.

5. The method according to claim 2, characterized in that: The first electric quantity data includes first discharge data corresponding to the start of discharge of the energy storage system in the target time period and second discharge data corresponding to the end of discharge, and the power data includes discharge power and discharge duration corresponding to the target time period. The detecting of the electric quantity statistics device according to the first electric quantity data and the power data to generate status information for characterizing the electric quantity statistics device includes: taking the difference between the second discharge data and the first discharge data as the first actual discharge amount during the target time period; Determine an adjustment coefficient for the discharge power, and calculate an estimated discharge amount corresponding to the target time period using the discharge power, the discharge duration, and the adjustment coefficient; The electric quantity statistics device is detected according to the first actual discharge quantity and the discharge estimated quantity, and state information for characterizing the electric quantity statistics device is generated.

6. The method according to claim 5, characterized in that The adjustment coefficient includes at least an upper limit adjustment coefficient and a lower limit adjustment coefficient, the discharge estimated amount includes a discharge estimated upper limit value corresponding to the upper limit adjustment coefficient and a discharge estimated lower limit value corresponding to the lower limit adjustment coefficient, and the detecting the electric quantity statistics device according to the first actual discharge amount and the discharge estimated amount to generate state information for characterizing the electric quantity statistics device includes: If the first actual discharge amount is less than the discharge estimation lower limit value, generating first state information for the power statistics device, wherein the first state information is used to indicate that the power statistics device is in a second abnormal state; If the first actual discharge amount is greater than the discharge estimation upper limit value, second state information for the power statistics device is generated, where the second state information is used to indicate that the power statistics device is in a first abnormal state.

7. The method according to claim 4 or 6, characterized in that: The power data at least includes charging power, charging duration, discharging power and discharging duration, the second electric quantity data at least includes a second actual charging quantity and a second actual discharging quantity, and if the electric quantity statistics device is abnormal, calculating according to the second electric quantity data and the power data to obtain a second energy benefit corresponding to the target time period includes: If the power statistics device is in the second abnormal state or the first abnormal state, the charging power and the charging duration are used to calculate the target charging amount corresponding to the power statistics device, and the discharging power and the discharging duration are used to calculate the target discharging amount corresponding to the power statistics device; respectively calculating the difference between the first actual charge amount and the second actual charge amount and the target charge amount, and taking the actual charge amount with the smaller difference as the target charge amount corresponding to the power statistics device; respectively calculating the difference between the first actual discharge amount and the second actual discharge amount and the target discharge amount, and taking the actual discharge amount with the smaller difference as the target discharge amount corresponding to the power statistics device; Obtaining the charging electricity price and the discharging electricity price corresponding to the target time period; The target charging amount and the charging electricity price, the target discharging amount and the discharging electricity price are used for calculation to obtain a second energy benefit corresponding to the target time period.

8. The method according to claim 2, characterized in that: The second power data at least includes a second actual charge amount and a second actual discharge amount. If the power statistics device is abnormal, a calculation is performed based on the second power data and the power data to obtain a second energy benefit corresponding to the target time period, including: If the electricity quantity statistics device is in a state where the electricity quantity data does not change, then obtaining the charging electricity price and the discharging electricity price corresponding to the target time period; The second actual charge amount and the charge electricity price, as well as the second actual discharge amount and the discharge electricity price, are used to perform calculations to obtain a second energy benefit corresponding to the target time period.

9. The method according to claim 1, characterized in that: The first power data includes at least a first actual charge amount and a first actual discharge amount, and calculating the first energy benefit corresponding to the target time period according to the first power data includes: Obtaining the charging electricity price and the discharging electricity price corresponding to the target time period; The first actual charge amount and the charge electricity price, as well as the first actual discharge amount and the discharge electricity price, are used to perform calculations to obtain a first energy benefit corresponding to the target time period.

10. A revenue calculation device for an energy storage system, characterized in that: Applied to an energy storage system, the energy storage system at least includes an electric quantity statistics device, an energy management system, a power variation system and a battery management system, and the device includes: A data acquisition module, used to acquire first power data corresponding to a target time period from the power statistics device, acquire second power data corresponding to the target time period from the battery management system, and acquire power data corresponding to the target time period from the power change system; A first benefit calculation module, configured to calculate a first energy benefit corresponding to the target time period according to the first power data if the power statistics device does not have any abnormality; The second benefit calculation module is used to calculate according to the second power data and the power data to obtain the second energy benefit corresponding to the target time period if the power statistics device is abnormal.

11. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; The memory is used to store computer programs; The processor is used to implement the method according to any one of claims 1 to 9 when executing the program stored in the memory.

12. A computer-readable storage medium having instructions stored thereon, which, when executed by one or more processors, cause the processors to perform the method according to any one of claims 1 to 9.

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