CN117199634B

CN117199634B - Household and storage integrated heat management method, system and storage medium

Info

Publication number: CN117199634B
Application number: CN202311452907.7A
Authority: CN
Inventors: 郭洋
Original assignee: Shenzhen Haichen Energy Storage Technology Co ltd; Xiamen Hithium Energy Storage Technology Co Ltd
Current assignee: Shenzhen Haichen Energy Storage Technology Co ltd; Xiamen Hithium Energy Storage Technology Co Ltd
Priority date: 2023-11-03
Filing date: 2023-11-03
Publication date: 2024-01-09
Anticipated expiration: 2043-11-03
Also published as: CN117199634A

Abstract

The invention discloses a household and storage integrated heat management method, a system and a storage medium, which are applied to a household and storage integrated machine, wherein the household and storage integrated machine comprises m energy storage batteries, and m is an integer greater than 1; the household and storage integrated heat management method comprises the following steps: acquiring the temperature of the energy storage battery i and a corresponding battery identifier, and acquiring a target temperature and a target battery identifier of the energy storage battery i; the battery identifier is used for uniquely identifying the energy storage battery; the energy storage battery i is any energy storage battery in m energy storage batteries; determining a target thermal management control parameter of the energy storage battery i according to the target temperature of the energy storage battery i and the target battery identifier; and controlling the energy storage battery i to perform thermal management operation according to the target thermal management control parameters so as to regulate the temperature of the energy storage battery i.

Description

Household and storage integrated heat management method, system and storage medium

Technical Field

The present invention relates to the field of battery thermal management, and in particular, to a method, a system, and a storage medium for thermal management of a household and a storage unit.

Background

At present, a household storage integrated machine is usually assembled with a household photovoltaic system to provide electric energy for household users. In the daytime, the electric energy generated by the photovoltaic is preferentially used by a local load, the redundant energy is stored in a storage battery, and the electric energy can be selectively combined into a power grid under the condition that the electric energy is still redundant; at night, when the photovoltaic system cannot generate electricity, the storage battery discharges to provide electric energy for a local load.

The heat management of the household and storage integrated machine generally performs operations such as heating or heat dissipation on all batteries in the integrated machine in a unified way, but different conditions may exist for different batteries along with the passage of service time, different heat management methods are needed, if the unified heating or heat dissipation is still adopted to realize the heat management of each battery, the heat management effect is poor, and the situation of accelerating the damage of the batteries may occur, so how to improve the heat management effect of the household and storage integrated machine becomes a problem to be solved urgently.

Disclosure of Invention

The invention provides a household and storage integrated heat management method, a household and storage integrated heat management system and a storage medium, which improve the heat management effect of a household and storage integrated machine.

In a first aspect, the invention provides a heat management method for a household and storage integrated machine, which is applied to the household and storage integrated machine, wherein the household and storage integrated machine comprises m energy storage batteries, and m is an integer greater than 1; the method comprises the following steps:

acquiring the temperature of an energy storage battery i and a corresponding battery identifier, and obtaining a target temperature and a target battery identifier of the energy storage battery i; the battery identifier is used for uniquely identifying the energy storage battery; the energy storage battery i is any energy storage battery in the m energy storage batteries;

Determining a target thermal management control parameter of the energy storage battery i according to the target temperature of the energy storage battery i and the target battery identifier;

and controlling the energy storage battery i to perform thermal management operation according to the target thermal management control parameter so as to regulate the temperature of the energy storage battery i.

In a second aspect, the invention provides a heat management system of a household and storage integrated machine, which is applied to the household and storage integrated machine, wherein the household and storage integrated machine comprises m energy storage batteries, and m is an integer greater than 1; the system comprises: an acquisition unit, a control unit, an operation unit, wherein,

the acquisition unit is used for acquiring the temperature of the energy storage battery i and a corresponding battery identifier to obtain a target temperature and a target battery identifier of the energy storage battery i; the battery identifier is used for uniquely identifying the energy storage battery; the energy storage battery i is any energy storage battery in the m energy storage batteries;

the control unit is used for determining a target thermal management control parameter of the energy storage battery i according to the target temperature of the energy storage battery i and the target battery identifier;

the operation unit is used for controlling the energy storage battery i to perform thermal management operation according to the target thermal management control parameter so as to adjust the temperature of the energy storage battery i.

In a third aspect, the present application provides an electronic device, including: a processor, a memory for storing one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the first aspect of the present application.

In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform part or all of the steps as described in the first aspect of the present application.

In a fifth aspect, the present application provides a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform part or all of the steps as described in the first aspect of the present application. The computer program product may be a software installation package.

By implementing the application, the method has the following beneficial effects:

it can be seen that the heat management method of the household and storage integrated machine described in the application is applied to the household and storage integrated machine, wherein the household and storage integrated machine comprises m energy storage batteries, and m is an integer greater than 1; the method comprises the following steps: acquiring the temperature of an energy storage battery i and a corresponding battery identifier, and obtaining a target temperature and a target battery identifier of the energy storage battery i; the battery identifier is used for uniquely identifying the energy storage battery; the energy storage battery i is any energy storage battery in the m energy storage batteries; determining a target thermal management control parameter of the energy storage battery i according to the target temperature of the energy storage battery i and the target battery identifier; and controlling the energy storage battery i to perform thermal management operation according to the target thermal management control parameters so as to adjust the temperature of the energy storage battery i, correspondingly adjusting the thermal management control parameters according to the difference of the temperature of the energy storage battery and the battery identifier, configuring a proper thermal management control parameter for each energy storage battery, performing thermal management operation on the energy storage battery by using the proper thermal management control parameters so as to improve the safety and the service life of the energy storage battery to the greatest extent, optimize the performance and the energy utilization of the energy storage battery, and improve the thermal management effect of the all-in-one machine.

Drawings

In order to more clearly describe the embodiments of the present invention or the technical solutions in the background art, the following description will describe the drawings that are required to be used in the embodiments of the present invention or the background art.

Fig. 1 is a scene application diagram of a user storage all-in-one machine provided in an embodiment of the present application;

fig. 2 is a schematic diagram of a household and storage integrated machine according to an embodiment of the present application;

FIG. 3 is a flow chart of a method for thermal management of a consumer storage unit according to an embodiment of the present application;

FIG. 4 is a flow chart of another method of thermal management of a consumer storage unit provided in an embodiment of the present application;

FIG. 5 is a flow chart of yet another method of thermal management of a consumer storage unit provided in an embodiment of the present application;

FIG. 6 is a flow chart of yet another method of thermal management of a consumer storage unit provided in an embodiment of the present application;

fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

fig. 8 is a functional unit block diagram of a heat management system integrated with a user and a storage unit according to an embodiment of the present application.

Detailed Description

In order to better understand the embodiments of the present application, the following description will clearly and completely describe the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.

The terms "first," "second," "third," and "fourth" and the like in the description and in the claims of this application and in the drawings, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

First, related terms referred to in the present application will be explained:

Household storage all-in-one machine: the household and storage integrated machine is integrated equipment integrating a photovoltaic power generation system, an energy storage system and an intelligent power distribution system. The electric energy generated by the photovoltaic power generation system can be stored for needs at intervals, and meanwhile, the electric energy can be automatically switched to the mains supply to supply power, so that the continuity of household power utilization is ensured.

Energy management system (Energy Management System, EMS): the intelligent system integrates software and hardware and is used for monitoring, controlling and optimizing energy flow and energy consumption in an energy system. For example, in the field of electric vehicle charging piles, the energy management system can monitor the electric energy consumption condition of the charging pile and intelligently schedule the operation of the charging pile according to the user requirements and the power grid load condition so as to improve the charging efficiency and the power grid load balance.

Energy storage converter (Power Conversion System, PCS): the device for realizing the bidirectional conversion of the electric energy in the electrochemical energy storage system is connected between the battery system and the power grid, can convert the direct current of the storage battery into alternating current, and can be transmitted to the power grid or used for alternating current load, and can also rectify the alternating current of the power grid into direct current to charge the storage battery.

Battery management system (Battery Management System, BMS): the system is matched with the system for monitoring the state of the energy storage battery and is used for managing and monitoring the charging and discharging processes of the battery, and is mainly used for intelligently managing and maintaining the battery, so that the battery can provide stable and reliable performance in the service life of the battery, and meanwhile, the service life of the battery is prolonged to the greatest extent.

PID control algorithm: the full name is proportional-integral-derivative control algorithm, which is a common feedback control algorithm. The method comprises three parts of proportion (P), integral (I) and differential (D), wherein the three parts are closed-loop control, error signals are respectively processed, and then the processed signals are added to obtain control output. In practical applications, the PID controller is usually tuned by a certain parameter, so that the response of the system is fast and stable. For example, the performance of the control system may be varied by adjusting parameters such as proportional gain, integration time, and derivative time.

In reality, because of the strong timeliness and space nature of the energy required by people, in order to reasonably utilize the energy and improve the utilization rate of the energy, one energy form needs to be stored by one medium or device, or converted into another energy form, and then released in a specific energy form based on future application. Taking electrochemical energy storage as an example, a group of chemical batteries are arranged in the energy storage device, chemical elements in the batteries are mainly used as energy storage media, and the charge and discharge process is accompanied with chemical reaction or change of the energy storage media, namely, the electric energy generated by wind energy and solar energy is simply stored in the chemical batteries, and the stored electric quantity is released for use when the use of external electric energy reaches a peak or is transferred to a place where the electric quantity is short for use. The existing energy storage (i.e. energy storage) has wider application scenes, including the aspects of power generation side energy storage, power grid side energy storage, power utilization side energy storage and the like, and is applied to the energy storage container at the power grid side, and the functions mainly comprise peak regulation, frequency modulation and power grid blocking and peak regulation, so that peak clipping and valley filling of power utilization loads can be realized, namely, the energy storage battery is charged when the power utilization load is low, and the stored electric quantity is released in the peak period of the power utilization load, thereby realizing the balance between power generation and consumption.

In this embodiment of the application, mainly adopted is the small-size energy storage cabinet that is applied to the electricity side, and the function is mainly that the electric power is spontaneous to be used oneself, peak Gu Jiacha is set to be good for, capacity cost management and improves the power supply reliability. According to the different application scenes, the electricity-side energy storage can be divided into an industrial and commercial energy storage cabinet, a household energy storage device, an energy storage charging pile and the like, and is generally matched with the distributed photovoltaic. The energy storage can be used by industrial and commercial users for valley peak price difference arbitrage and capacity cost management. In the electric power market implementing peak-valley electricity price, the energy storage system is charged when the electricity price is low, and the energy storage system is discharged when the electricity price is high, so that peak-valley electricity price difference arbitrage is realized, and the electricity cost is reduced. In addition, the energy storage system is suitable for two industrial enterprises with electricity price, can store energy when electricity is used in low valley and discharge the energy when the electricity is used in peak load, so that peak power and the declared maximum demand are reduced, and the purpose of reducing the capacity electricity fee is achieved. The household photovoltaic distribution and storage can improve the spontaneous self-use level of the electric power. Due to high electricity prices and poor power supply stability, the photovoltaic installation requirements of users are pulled. Considering that the photovoltaic power generation is performed in daytime, and the load of a user is generally higher at night, the photovoltaic power can be better utilized through configuration of energy storage, the spontaneous self-use level is improved, and meanwhile the power consumption cost is reduced.

Referring to fig. 1, fig. 1 is a scene application diagram of a user storage all-in-one machine provided in an embodiment of the present application. The application provides a household stores up all-in-one, this household stores up all-in-one including energy storage device 1, electric energy conversion device 2 (photovoltaic board), first user load 3 (street lamp) and second user load 4 (for example household appliances such as air conditioner) etc. energy storage device 1 is small-size tank, accessible hanging mode installs in outdoor wall. In particular, the photovoltaic panel can convert solar energy into electric energy during the low electricity price period, and the energy storage device 1 is used for storing the electric energy and supplying the electric energy to street lamps and household appliances for use during the electricity price peak or supplying power during the power failure/power outage of the power grid.

Referring to fig. 2, fig. 2 is a schematic diagram of a home storage integrated machine according to an embodiment of the present application. The household and storage integrated machine comprises m energy storage batteries, wherein m is an integer greater than 1.

Optionally, the household storage integrated machine may further include: the system comprises a battery management system BMS, an energy management system EMS, a photovoltaic power generation system, an energy storage converter PCS, a temperature management module and a power grid connection device; the temperature management module can comprise a fin assembly, an air cooling assembly, a liquid cooling assembly and a heating assembly; the devices form a household and storage integrated machine together, so that the integration of the photovoltaic power generation system and the storage battery system is realized, and reliable electric energy supply and energy management are provided for household users.

The energy storage battery is a core component of the household and storage integrated machine and is used for storing redundant electric energy generated by the photovoltaic power generation system, the energy storage battery can provide electric energy for families at night or when the photovoltaic power generation system cannot generate power, and the energy storage battery is used for storing and releasing the electric energy so as to realize balance of energy sources and matching of supply and demand.

The BMS can monitor parameters such as state, temperature and capacity of the battery, ensure safe operation and optimal performance of the battery, and monitor, protect and control the battery so as to prolong service life of the battery, improve efficiency and ensure safety performance of the battery.

The EMS is a system for overall management and optimization of energy flow and energy utilization for a consumer storage integrated machine. The EMS can monitor and control energy flow between the photovoltaic power generation system, the energy storage battery and the power grid, and intelligently schedule supply and use of energy according to energy demand and electricity price conditions of the home. The EMS has the functions of realizing the optimal configuration of energy, improving the energy utilization efficiency and reducing the energy cost.

The photovoltaic power generation system is used for converting solar energy into usable electric energy and providing an electric power source for the household storage integrated machine. The energy storage converter PCS is a device for controlling and managing the charging and discharging process of the energy storage battery. The energy storage battery stores electric energy generated by the photovoltaic power generation system, and converts the electric energy in the energy storage battery into alternating current for household use when needed. The PCS of the energy storage converter has the function of realizing energy conversion and management between the photovoltaic power generation system and the energy storage battery.

The temperature management module is used for monitoring and controlling the temperature of each component in the user storage integrated machine. The system can monitor the temperature of the energy storage battery, the PCS of the energy storage converter and other key components, and adjust heat dissipation or heating measures according to requirements so as to ensure that the system operates in a proper temperature range. The temperature management module is used for protecting equipment from overheat or supercooling, and improving the reliability and service life of the system.

The power grid connecting device is used for connecting the household storage integrated machine with a power grid to realize bidirectional flow of electric energy. The system can integrate the redundant electric energy in the household storage integrated machine into the power grid, and simultaneously acquire the electric energy from the power grid when needed. The power grid connection device has the functions of realizing interconnection and intercommunication between the household storage integrated machine and a power grid and realizing flexible scheduling and optimal utilization of energy.

The devices cooperate together to realize high-efficiency energy management and supply of the household and storage integrated machine.

Referring to fig. 3, fig. 3 is a flowchart of a method for heat management of a user and a storage unit according to an embodiment of the present application.

The method is applied to a household and storage integrated machine, wherein the household and storage integrated machine comprises m energy storage batteries, and m is an integer greater than 1; the method includes, but is not limited to, the steps of:

S201, acquiring the temperature of an energy storage battery i and a corresponding battery identifier, and obtaining a target temperature and a target battery identifier of the energy storage battery i; the battery identifier is used for uniquely identifying the energy storage battery; the energy storage battery i is any one of the m energy storage batteries.

It should be explained that, the all-in-one machine for household and storage in this embodiment may further include: battery management system BMS, energy management system EMS, photovoltaic power generation system, energy storage converter PCS, temperature management module, electric wire netting connecting device etc..

In an embodiment of the present application, the device for obtaining the temperature of the energy storage battery may include at least one of the following: the method of acquiring the battery identifier may be preset or detected in real time, without limitation, by a temperature sensor, a thermistor, an infrared sensor, etc.

In specific implementation, a temperature sensor can be installed in each energy storage battery, the temperature of each energy storage battery can be directly measured by using the temperature sensor, the output of each temperature sensor can be read by the BMS, specifically, the energy storage battery i is taken as an example, the temperature sensor can be installed in the energy storage battery i, and the output of the temperature sensor is read by the BMS, so that the temperature of the energy storage battery i is obtained.

Then, the battery identifiers of all the energy storage batteries may be preset, the battery identifier of the energy storage battery i is read by the BMS, and further, the obtained target temperature and target battery identifier of the energy storage battery i may be transmitted to the EMS by the BMS.

S202, determining a target heat management control parameter of the energy storage battery i according to the target temperature of the energy storage battery i and the target battery identifier.

In an embodiment of the present application, the thermal management control parameter may include at least one of: the heat dissipation rate, the heating rate, the cooling mode, the heating mode, and the like are not limited herein.

In a specific implementation, the EMS may determine the target thermal management control parameter of the energy storage battery i according to the target temperature and the target battery identifier of the energy storage battery i, and then send the target thermal management control parameter to the BMS through the EMS.

Optionally, referring to fig. 4, in step S202, the determining the target thermal management control parameter of the energy storage battery i according to the target temperature of the energy storage battery i and the target battery identifier may further include the steps shown in fig. 4:

a1, acquiring a first thermal management control strategy set corresponding to the target battery identifier, wherein the first thermal management control strategy set comprises a plurality of thermal management control strategies, each thermal management control strategy corresponds to a temperature range, and each thermal management control strategy comprises at least one reference thermal management control parameter;

A2, acquiring a target thermal management control strategy corresponding to the target temperature from the first thermal management control strategy set, and acquiring a target reference thermal management control parameter corresponding to the target thermal management control strategy; and determining the target thermal management control parameters of the energy storage battery i according to the target reference thermal management control parameters.

In an embodiment of the present application, the thermal management control policy may include at least one of: temperature limiting policies, temperature balancing policies, power limiting policies, etc., are not limited herein.

In a specific implementation, the EMS may acquire a first thermal management control policy set corresponding to the target battery identifier, a mapping relationship between a preset battery identifier and the thermal management control policy set may be stored in advance, the first thermal management control policy set corresponding to the target battery identifier may be determined based on the mapping relationship, specifically, the battery identifiers may be grouped according to a usage time length in a grouping mapping manner, and one thermal management control policy set may be allocated to each group, and energy storage batteries in the same group share the same thermal management control policy set, so that the thermal management control policy set may be configured according to characteristics and requirements of different groups.

And then, acquiring a target thermal management control strategy corresponding to the target temperature from the first thermal management control strategy set, wherein in particular, as the first thermal management control strategy set has a plurality of thermal management control strategies and each thermal management control strategy corresponds to one temperature range, the corresponding target thermal management control strategy can be obtained only by judging which temperature range the target temperature is in, further, acquiring a target reference thermal management control parameter corresponding to the target thermal management control strategy, in particular, as each thermal management control strategy comprises at least one reference thermal management control parameter, and meanwhile, the thermal management control strategy is determined according to the temperature range, the mapping relation between the preset temperature range and the reference thermal management control parameter can be prestored, and the target reference thermal management control parameter corresponding to the temperature range is determined based on the mapping relation, thereby obtaining the target reference thermal management control parameter corresponding to the target thermal management control strategy, and then determining the target thermal management control parameter of the energy storage battery i according to the target reference thermal management control parameter.

For example, for one energy storage battery a, the EMS may obtain the temperature a and the battery identifier a of the energy storage battery a through the BMS, firstly, the EMS may determine a first thermal management control policy set where the thermal management policies required by the energy storage battery a are located according to the battery identifier a, secondly, the EMS may select a corresponding thermal management control policy from the first thermal management control policy set according to the location range of the temperature a, then, the EMS may determine a target reference thermal management control parameter corresponding to the temperature range based on the mapping relation between a preset temperature range and the reference thermal management control parameter, thereby obtaining a target reference thermal management control parameter corresponding to the target thermal management control policy, and finally, the EMS may determine the thermal management control parameter of the energy storage battery a by referring to the thermal management control parameter.

Therefore, the EMS determines the target thermal management control parameters of the energy storage batteries according to the target temperature and the target battery identifier of the energy storage batteries, and the thermal management control parameters can be customized for each energy storage battery according to the target temperature and the identifier of each energy storage battery, so that the thermal management requirements or certain specific requirements of each energy storage battery can be better met, and the thermal management effect and performance are improved.

Optionally, in step A2, the determining the target thermal management control parameter of the energy storage battery i according to the target reference thermal management control parameter may further include the following steps:

b1, acquiring a target internal environment parameter and a target external environment parameter of the energy storage battery i;

b2, determining a first influence coefficient corresponding to the target internal environment parameter;

b3, determining a second influence coefficient corresponding to the target external environment parameter;

and B4, adjusting the target reference thermal management control parameter according to the first influence coefficient and the second influence coefficient to obtain the target thermal management control parameter.

In an embodiment of the present application, the internal environment parameters may include at least one of the following: the internal temperature of the energy storage battery, the voltage of the energy storage battery, the current of the energy storage battery, the internal pressure of the energy storage battery, the power of the energy storage battery, etc., are not limited herein, and the external environmental parameters may include at least one of the following: ambient temperature, atmospheric pressure, air humidity, etc., are not limited herein.

In specific implementation, the target internal environment parameter of the energy storage battery i can be obtained through the BMS, the target external environment parameter of the energy storage battery i can be obtained, then, the mapping relation between the preset internal environment parameter and the influence coefficient can be preset, the first influence coefficient corresponding to the target internal environment parameter is determined based on the mapping relation, the numerical range of the first influence coefficient is generally-0.3, likewise, the mapping relation between the preset external environment parameter and the influence coefficient can be preset, the second influence coefficient corresponding to the external environment parameter is determined based on the mapping relation, the numerical range of the second influence coefficient is generally-0.12, further, the target reference thermal management control parameter is adjusted according to the first influence coefficient and the second influence coefficient, and the target thermal management control parameter is obtained specifically as follows:

target thermal management control parameter= (1+first influence coefficient) × (1+second influence coefficient) ×target reference thermal management control parameter

Therefore, the target internal environment parameters and the target external environment parameters of the energy storage battery are obtained through the BMS, further, a first influence coefficient corresponding to the target internal environment parameters and a second influence coefficient corresponding to the target external environment parameters are obtained, the target reference thermal management control parameters are adjusted according to the first influence coefficient and the second influence coefficient, and the target thermal management control parameters are obtained, so that the target reference thermal management control parameters are adjusted by combining the target internal environment parameters and the target external environment parameters of the energy storage battery, the finally obtained target thermal management control parameters more meet the current internal and external environment requirements of the energy storage battery, more accurate thermal management control of the energy storage battery is facilitated, and meanwhile, the working efficiency of the energy storage battery can be guaranteed on the basis of guaranteeing safety.

Optionally, in step 203, the obtaining the target reference thermal management control parameter corresponding to the target thermal management control policy may further include the following steps:

c1, acquiring default reference thermal management control parameters corresponding to the target thermal management control strategy;

c2, acquiring target working parameters of the energy storage battery i;

c3, determining a target optimization coefficient corresponding to the target working parameter;

and C4, optimizing the default reference thermal management control parameters according to the target optimization coefficient to obtain the target reference thermal management control parameters.

In this embodiment of the present application, the default reference thermal management control parameter may be default or preset in advance for the all-in-one home storage machine, and the working parameters of the energy storage battery may include at least one of the following: the capacity of the energy storage battery, the voltage of the energy storage battery, the charge and discharge efficiency of the energy storage battery, the cycle life of the energy storage battery, the self-discharge rate of the energy storage battery, and the like are not limited herein.

In a specific implementation, the heating rate may be used as a thermal management control parameter, the EMS obtains a default reference thermal management control parameter corresponding to the target thermal management control policy, specifically, a mapping relationship between a preset thermal management control policy and the reference thermal management control parameter may be preset, the default reference thermal management control parameter corresponding to the target thermal management control policy is determined based on the mapping relationship, the BMS may obtain a target working parameter of the energy storage battery i, and specifically, the charging and discharging efficiency may be used as the target working parameter of the energy storage battery i.

Next, the EMS may determine a target optimization coefficient corresponding to the target operating parameter, specifically, a mapping relationship between a preset operating parameter and the optimization coefficient may be preset, and the target optimization coefficient corresponding to the target operating parameter is determined based on the mapping relationship, and further, optimization processing is performed on a default reference thermal management control parameter according to the target optimization coefficient, so as to obtain a target reference thermal management control parameter, which specifically includes:

target reference thermal management control parameter= (1+target optimization coefficient) ×default reference thermal management control parameter

In this way, the EMS obtains the corresponding default reference thermal management control parameter through the target thermal management control strategy, then the BMS obtains the target working parameter of the energy storage battery, then the EMS can determine the target optimization coefficient corresponding to the target working parameter, the target optimization coefficient is used for optimizing the default reference thermal management control parameter to obtain the target reference thermal management control parameter, the overall performance of the system can be improved by optimizing the default reference thermal management control parameter, the optimized parameter can better adapt to the thermal management requirement of the energy storage battery, the aging speed of the energy storage battery can be reduced, and the service life of the energy storage battery can be prolonged, so that the system resource is saved.

Optionally, step 202, the determining a target thermal management control parameter of the energy storage battery i according to the target temperature of the energy storage battery i and the target battery identifier may include the following steps:

d1, acquiring a target thermal management control algorithm corresponding to the target temperature;

d2, acquiring target algorithm control parameters of the target thermal management control algorithm corresponding to the target battery identifier;

and D3, determining the target thermal management control parameters of the energy storage battery i according to the target thermal management control algorithm and the target algorithm control parameters.

In an embodiment of the present application, the thermal management control algorithm may include at least one of: temperature limiting algorithms, PID control algorithms, etc., are not limited herein.

In a specific implementation, the EMS may acquire a target thermal management control algorithm corresponding to the target temperature, for example, a temperature limiting algorithm may be used as a target thermal management control algorithm to thermally manage the energy storage battery when the target temperature is in a low temperature range, and a PID control algorithm may be used as a target thermal management control algorithm to thermally manage the energy storage battery when the target temperature is in a high temperature range.

Then, the target algorithm control parameter of the target thermal management control algorithm corresponding to the target battery identifier is obtained, further, the target thermal management control parameter of the energy storage battery i is determined according to the target thermal management control algorithm and the target algorithm control parameter, specifically, a thermal management control parameter information comparison table of the energy storage battery is set in the EMS, the thermal management control parameters corresponding to different thermal management control algorithms and algorithm control parameters are also different, and the target thermal management control parameter of the energy storage battery i can be obtained by searching in the thermal management control parameter information comparison table by the EMS according to the target thermal management control algorithm and the target algorithm control parameter.

In this way, the temperature of the energy storage battery and the battery identifier determine the corresponding target thermal management control algorithm and the target algorithm control parameter, so that the energy storage battery can be more accurately adapted to the characteristics and working states of different batteries, the efficiency and performance of the thermal management of the energy storage battery can be improved through the accurate matching of the thermal management control parameters, in addition, the target thermal management control parameter of the energy storage battery is searched in the thermal management control parameter information comparison table according to the target thermal management control algorithm and the target algorithm control parameter, the parameter setting and adjusting process can be simplified, the EMS only needs to search the corresponding parameter according to the temperature and the identifier of the energy storage battery, the reaction time of the EMS can be accelerated simply, conveniently and quickly, and the system resource is saved.

Optionally, referring to fig. 5, in step D2, the obtaining the target algorithm control parameter of the target thermal management control algorithm corresponding to the target battery identifier may include the steps shown in fig. 5:

e1, determining initial algorithm control parameters corresponding to the target battery identifier;

e2, determining a target temperature change parameter of the energy storage battery i in a preset time period;

e3, determining a target shrinkage factor corresponding to the target temperature change parameter;

And E4, carrying out parameter adjustment on the initial algorithm control parameters according to the target contraction factors to obtain the target algorithm control parameters.

In an embodiment of the present application, the initial algorithm control parameters may include at least one of the following: temperature threshold, rate of temperature adjustment, power threshold, temperature control strategy, etc., without limitation, the preset time period may be preset or system default.

In a specific implementation, an initial algorithm control parameter corresponding to a target battery identifier may be determined first, specifically, a thermal management control parameter information comparison table may be searched to obtain an initial algorithm control parameter corresponding to the target battery identifier in the table, a temperature adjustment rate may be adopted as the initial algorithm control parameter, then a target temperature change parameter of the energy storage battery i in a preset time period may be determined, specifically, temperature data of the energy storage battery i in the preset time period may be obtained through the BMS, the obtained temperature data may be analyzed, and may include statistical analysis, trend analysis, fluctuation analysis, and the like, and the target temperature change parameter of the energy storage battery i in the preset time period may be determined according to an analysis result of the temperature data and sent to the EMS.

Further, the EMS may determine a target shrinkage factor corresponding to the target temperature change parameter, specifically, a mapping relationship between a preset temperature change parameter and a shrinkage factor may be preset, the target shrinkage factor corresponding to the target temperature change parameter is determined based on the mapping relationship, a numerical range of the target shrinkage factor is generally-0.3-0, and parameter adjustment is performed on an initial algorithm control parameter according to the target shrinkage factor, so as to obtain a target algorithm control parameter, which is specifically as follows:

target algorithm control parameter= (1+target shrink factor) ×initial algorithm control parameter

In this way, the EMS determines the corresponding initial algorithm control parameter through the target battery identifier, then the BMS determines the target temperature change parameter of the energy storage battery in the preset time period, the EMS determines the target shrinkage factor corresponding to the target temperature change parameter, the EMS carries out parameter adjustment on the initial algorithm control parameter according to the target shrinkage factor to obtain the target algorithm control parameter, through the cooperative work of the EMS and the BMS, the accurate initial algorithm control parameter and the target temperature change parameter can be obtained according to the identifier and the real-time temperature data of the battery, the characteristics and the working states of different batteries can be more accurately adapted, the accuracy of the thermal management control is improved, in addition, the initial algorithm control parameter can be adaptively adjusted through the target shrinkage factor, the thermal management control strategy can be adjusted in real time according to the actual working state and the environmental change of the battery, and the self-adaption and the stability of the system are improved.

S203, controlling the energy storage battery i to perform thermal management operation according to the target thermal management control parameter so as to adjust the temperature of the energy storage battery i.

In the embodiment of the present application, the thermal management operation may be a heating operation or a cooling operation or a maintaining operation.

In a specific implementation, the BMS may control the energy storage battery i to perform a thermal management operation according to the target thermal management control parameter, and adjust the temperature of the energy storage battery i, for example, may control the fin assembly in the temperature management module to perform work according to the target thermal management control parameter, perform heat dissipation on the energy storage battery i, and adjust the temperature of the energy storage battery i.

Optionally, referring to fig. 6, in step 203, the controlling the energy storage battery to perform the thermal management operation according to the target thermal management control parameter may include the steps shown in fig. 6:

31. acquiring the temperature of each energy storage battery except the energy storage battery i in the m energy storage batteries to obtain m-1 temperatures;

32. determining the temperature difference between the m-1 temperatures and the energy storage battery i to obtain m-1 temperature differences;

33. determining a target mean square error of the m-1 temperature differences;

34. determining a target adjustment parameter corresponding to the target mean square error;

35. Adjusting the target thermal management control parameters according to the target adjustment parameters to obtain actual thermal management control parameters;

36. and controlling the energy storage battery i to perform thermal management operation according to the actual thermal management control parameters.

In the embodiment of the application, the temperature sensor can be used for detecting the temperature of the energy storage battery.

In a specific embodiment, a temperature sensor may be installed in each of the m energy storage batteries, the temperature sensor may directly measure the temperature of the energy storage battery, and transmit data to the BMS for processing and analysis, so as to obtain the temperature of each of the m energy storage batteries except the energy storage battery i, obtain m-1 temperatures, and the BMS may calculate the temperature difference between the m-1 temperatures and the energy storage battery i, so as to obtain m-1 temperature differences.

Then, the BMS can calculate the target mean square error of m-1 temperature differences, determine the target adjustment parameters corresponding to the target mean square error, specifically, a mapping relation between the preset mean square error and the target adjustment parameters can be stored in advance, then the target adjustment parameters corresponding to the target mean square error can be determined based on the mapping relation, the value range of the adjustment parameters can be-0.12, and then the target thermal management control parameters are adjusted according to the target adjustment parameters, so that the actual thermal management control parameters are obtained:

Actual thermal management control parameter= (1+target adjustment parameter) ×target thermal management control parameter

Further, the energy storage battery i is controlled by the BMS to perform a thermal management operation with the actual thermal management control parameters. In this way, the temperature of each energy storage battery except the energy storage battery i in m energy storage batteries is obtained through the BMS, m-1 temperatures are obtained, the temperature difference between the m-1 temperatures and the energy storage battery i is determined, m-1 temperature differences are obtained, the target mean square error of the m-1 temperature differences is calculated, corresponding target adjustment parameters are obtained according to the target mean square error, the target adjustment parameters are used for adjusting target thermal management control parameters to obtain actual thermal management control parameters, the temperature difference between the energy storage batteries i and other batteries is calculated, and the temperature is adjusted according to the target mean square error, so that the temperature equilibrium of the whole energy storage system can be realized, the temperature difference between the batteries can be reduced, the thermal management strategy is optimized through the target mean square error of the temperature difference, the target adjustment parameters are used for adjusting the thermal management control parameters, the temperature of the batteries can be controlled better, and the thermal management effect is improved.

It can be seen that the heat management method for a household and storage integrated machine described in the embodiments of the present application is applied to a household and storage integrated machine, where the household and storage integrated machine includes m energy storage batteries, and m is an integer greater than 1; the method comprises the following steps: acquiring the temperature of an energy storage battery i and a corresponding battery identifier, and obtaining a target temperature and a target battery identifier of the energy storage battery i; the battery identifier is used for uniquely identifying the energy storage battery; the energy storage battery i is any energy storage battery in the m energy storage batteries; determining a target thermal management control parameter of the energy storage battery i according to the target temperature of the energy storage battery i and the target battery identifier; and controlling the energy storage battery i to perform thermal management operation according to the target thermal management control parameters so as to adjust the temperature of the energy storage battery i, correspondingly adjusting the thermal management control parameters according to the difference of the temperature of the energy storage battery and the battery identifier, configuring a proper thermal management control parameter for each energy storage battery, performing thermal management operation on the energy storage battery by using the proper thermal management control parameters so as to improve the safety and the service life of the energy storage battery to the greatest extent, optimize the performance and the energy utilization of the energy storage battery, and improve the thermal management effect of the all-in-one machine.

Referring to fig. 7, fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application, where the electronic device includes a processor, a memory, a communication interface, and one or more programs, and the processor, the memory, and the communication interface are connected to each other through a bus. The electronic equipment is applied to a household and storage integrated machine, wherein the household and storage integrated machine comprises m energy storage batteries, and m is an integer greater than 1; the one or more programs are stored in the memory and configured to be executed by the processor, and in an embodiment of the present application, the program includes instructions for performing the steps of:

Optionally, in said determining a target thermal management control parameter of said energy storage battery i from said target temperature of said energy storage battery i and said target battery identifier, the above procedure further comprises instructions for performing the steps of:

acquiring a first thermal management control strategy set corresponding to the target battery identifier, wherein the first thermal management control strategy set comprises a plurality of thermal management control strategies, each thermal management control strategy corresponds to a temperature range, and each thermal management control strategy comprises at least one reference thermal management control parameter;

acquiring a target thermal management control strategy corresponding to the target temperature from the first thermal management control strategy set, and acquiring a target reference thermal management control parameter corresponding to the target thermal management control strategy; and determining the target thermal management control parameters of the energy storage battery i according to the target reference thermal management control parameters.

Optionally, in the determining the target thermal management control parameter of the energy storage battery i according to the target reference thermal management control parameter, the program further includes instructions for:

acquiring a target internal environment parameter and a target external environment parameter of the energy storage battery i;

Determining a first influence coefficient corresponding to the target internal environment parameter;

determining a second influence coefficient corresponding to the target external environment parameter;

and adjusting the target reference thermal management control parameter according to the first influence coefficient and the second influence coefficient to obtain the target thermal management control parameter.

Optionally, in the aspect of obtaining the target reference thermal management control parameter corresponding to the target thermal management control policy, the program further includes instructions for executing the following steps:

acquiring default reference thermal management control parameters corresponding to the target thermal management control strategy;

acquiring a target working parameter of the energy storage battery i;

determining a target optimization coefficient corresponding to the target working parameter;

and carrying out optimization processing on the default reference thermal management control parameters according to the target optimization coefficient to obtain the target reference thermal management control parameters.

Optionally, in the controlling the energy storage battery to perform thermal management operation with the target thermal management control parameter, the program further includes instructions for:

acquiring the temperature of each energy storage battery except the energy storage battery i in the m energy storage batteries to obtain m-1 temperatures;

Determining the temperature difference between the m-1 temperatures and the energy storage battery i to obtain m-1 temperature differences;

determining a target mean square error of the m-1 temperature differences;

determining a target adjustment parameter corresponding to the target mean square error;

adjusting the target thermal management control parameters according to the target adjustment parameters to obtain actual thermal management control parameters;

and controlling the energy storage battery i to perform thermal management operation according to the actual thermal management control parameters.

acquiring a target thermal management control algorithm corresponding to the target temperature;

acquiring target algorithm control parameters of the target thermal management control algorithm corresponding to the target battery identifier;

and determining the target thermal management control parameters of the energy storage battery i according to the target thermal management control algorithm and the target algorithm control parameters.

Optionally, in the acquiring the target algorithm control parameter of the target thermal management control algorithm corresponding to the target battery identifier, the program further includes instructions for:

Determining initial algorithm control parameters corresponding to the target battery identifier;

determining a target temperature change parameter of the energy storage battery i in a preset time period;

determining a target contraction factor corresponding to the target temperature variation parameter;

and carrying out parameter adjustment on the initial algorithm control parameters according to the target contraction factors to obtain the target algorithm control parameters.

Referring to fig. 8, fig. 8 is a functional unit block diagram of a heat management system 800 with integrated household and storage provided in an embodiment of the present application, and the heat management system 800 with integrated household and storage is applied to a all-in-one household and storage machine, where the all-in-one household and storage machine includes m energy storage batteries, and m is an integer greater than 1; the system comprises: an acquisition unit 801, a control unit 802, an operation unit 803, wherein,

the obtaining unit 801 is configured to obtain a temperature of the energy storage battery i and a corresponding battery identifier, so as to obtain a target temperature and a target battery identifier of the energy storage battery i; the battery identifier is used for uniquely identifying the energy storage battery; the energy storage battery i is any energy storage battery in the m energy storage batteries;

the control unit 802 is configured to determine a target thermal management control parameter of the energy storage battery i according to the target temperature of the energy storage battery i and the target battery identifier;

The operation unit 803 is configured to control the energy storage battery i to perform a thermal management operation with the target thermal management control parameter, so as to adjust the temperature of the energy storage battery i.

Optionally, in the determining the target thermal management control parameter of the energy storage battery i according to the target temperature of the energy storage battery i and the target battery identifier, the control unit 802 is specifically configured to:

Optionally, in the determining the target thermal management control parameter of the energy storage battery i according to the target reference thermal management control parameter, the control unit 802 is specifically configured to:

Optionally, in the aspect of acquiring the target reference thermal management control parameter corresponding to the target thermal management control policy, the control unit 802 is specifically configured to:

acquiring a target working parameter of the energy storage battery i;

Optionally, in the aspect of controlling the energy storage battery to perform a thermal management operation according to the target thermal management control parameter, the operation unit 803 is specifically configured to:

determining a target mean square error of the m-1 temperature differences;

Optionally, in the aspect of acquiring a target algorithm control parameter of the target thermal management control algorithm corresponding to the target battery identifier, the control unit 802 is specifically configured to:

In a specific implementation, the acquiring unit 801, the control unit 802, and the operating unit 803 described in the embodiments of the present invention may also execute other embodiments described in the user-storage integrated thermal management method provided in the embodiments of the present invention, which are not described herein.

The embodiment of the application also provides a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, where the computer program causes a computer to execute part or all of the steps of any one of the methods described in the embodiments of the method, where the computer includes an electronic device.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods described in the method embodiments above. The computer program product may be a software installation package, said computer comprising an electronic device.

It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of 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.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The foregoing has outlined rather broadly the more detailed description of embodiments of the present application, wherein specific examples are provided herein to illustrate the principles and embodiments of the present application, the above examples being provided solely to assist in the understanding of the methods of the present application and the core ideas thereof; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims

1. The household and storage integrated heat management method is characterized by being applied to a household and storage integrated machine, wherein the household and storage integrated machine comprises m energy storage batteries, and m is an integer greater than 1; the method comprises the following steps:

controlling the energy storage battery i to perform thermal management operation according to the target thermal management control parameter so as to adjust the temperature of the energy storage battery i;

Wherein upon said determining a target thermal management control parameter for said energy storage battery i based on said target temperature of said energy storage battery i and said target battery identifier,

acquiring a target thermal management control strategy corresponding to the target temperature from the first thermal management control strategy set, and acquiring a target reference thermal management control parameter corresponding to the target thermal management control strategy; determining target thermal management control parameters of the energy storage battery i according to the target reference thermal management control parameters;

wherein when the target thermal management control parameter of the energy storage battery i is determined according to the target reference thermal management control parameter,

Adjusting the target reference thermal management control parameter according to the first influence coefficient and the second influence coefficient to obtain the target thermal management control parameter;

or, in said determining a target thermal management control parameter for said energy storage battery i based on said target temperature of said energy storage battery i and said target battery identifier,

determining a target thermal management control parameter of the energy storage battery i according to the target thermal management control algorithm and the target algorithm control parameter;

wherein upon said obtaining a target algorithm control parameter of said target thermal management control algorithm corresponding to said target battery identifier,

2. The method of claim 1, wherein the obtaining the target reference thermal management control parameter corresponding to the target thermal management control policy comprises:

acquiring a target working parameter of the energy storage battery i;

3. The method of any of claims 1-2, wherein the controlling the energy storage battery to perform thermal management operations at the target thermal management control parameter comprises:

determining a target mean square error of the m-1 temperature differences;

4. The heat management system is characterized by being applied to a household and storage integrated machine, wherein the household and storage integrated machine comprises m energy storage batteries, and m is an integer greater than 1; the system comprises: an acquisition unit, a control unit, an operation unit, wherein,

parameter adjustment is carried out on the initial algorithm control parameters according to the target contraction factors, and the target algorithm control parameters are obtained;

5. An electronic device, comprising: a processor, a memory for storing one or more programs and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-3.

6. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of claims 1-3.