WO2023198462A1

WO2023198462A1 - Method for determining a charging power for charging a battery of a vehicle by means of a charging device

Info

Publication number: WO2023198462A1
Application number: PCT/EP2023/058231
Authority: WO
Inventors: Michael Hilsch; Robert Kaps; Benedikt Alt
Original assignee: Robert Bosch Gmbh
Priority date: 2022-04-13
Filing date: 2023-03-30
Publication date: 2023-10-19
Also published as: DE102022203739A1

Abstract

The invention relates to a method for determining a charging power for charging a battery (32) of a vehicle (30) by means of a charging device (12), wherein the charging device (12) is electrically connectable, in particular connected, to a photovoltaic system (14) and a consumer system (20), comprising the following steps: – determining first power information regarding a power provided by the photovoltaic system (14) using a physical model; – reading in second power information regarding a power drawn by means of the consumer system (20); and – determining the charging power on the basis of the first power information and the second power information by means of a computing unit (28), wherein the determined charging power represents a surplus of the provided power in order to charge the battery (32) of the vehicle (30) with the determined charging power by means of the charging device (12).

Description

title

Method for determining a charging power for charging a battery of a vehicle using a charging device

The invention relates to a method for determining a charging power for charging a battery of a vehicle by means of a charging device, a computing unit, a charging device and a system, as well as a corresponding computer program and a storage medium.

State of the art

In 2020 it turned out that around 89 percent of house roofs in Germany are not yet equipped with a photovoltaic system. In order to make greater use of this potential for generating renewable energy, the legislature plans to require a photovoltaic system to be included in both new buildings and renovations of old buildings. In addition, in recent years, the legislature has paid several hundred million euros in subsidies to private households so that appropriate charging facilities (so-called wallboxes) for battery-electric vehicles can be created in private environments. Both measures are an essential part of transforming mobility and help reduce dependence on fossil fuels. In this context, when operating photovoltaic systems, charging stations and battery-electric vehicles together, one should ensure that a high proportion of the available solar energy is actually consumed by the vehicle or other electrical devices in private households and that unnecessary amounts of energy do not have to be purchased from the power grid. If a so-called surplus of electrical power nevertheless arises, this power is fed into the power grid and compensated for.

Assuming that the battery-electric vehicle can absorb the solar energy generated during the day, there are different strategies for operating the wallbox, which differ in their complexity, the effort required for implementation and ultimately also in the acquisition costs differentiate. In the simplest case, it is a time-based control in which the charging device is switched on at a certain time and switched off again a few hours later. During this period, the battery in the vehicle is charged with constant electrical power. Of course, it can happen that fluctuations in the solar power generated are not taken into account and, for example, in the event of drops due to cloud formation, corresponding electrical power has to be purchased. In addition, excess solar energy cannot be absorbed by the vehicle's battery. If you also have a measuring device available with which you can determine the solar energy generated and the energy fed into the power grid, the charging power for the battery-electric vehicle can be adjusted very well and you can then ensure that your own consumption is optimized. However, with this controlled approach, the new measuring device leads to significantly higher system complexity and significantly higher acquisition costs.

DE 10 2013 002 078 A1 discloses a method for charging an electrical energy storage device of a vehicle. The energy storage device is coupled to a charging device. At least one charging profile is determined and set depending on user specifications and boundary conditions. According to the invention, the energy storage device is charged at least with electrical solar energy generated from solar radiation by means of a solar system of the charging device, with at least one departure time specified by the user and, as a boundary condition, an available amount of solar energy being taken into account when determining and setting the charging profile.

Disclosure of the invention

According to a first aspect, the subject of the present invention is a method for determining a charging power for charging a battery of a vehicle by means of a charging device according to claim 1. Here, the charging device is electrically connectable, in particular electrically connected, to a photovoltaic system and a consumer system.

The method includes a step of determining first performance information regarding a power provided by the photovoltaic system using a physical model. The method further comprises a step of reading in second performance information relating to a power purchased using the consumer system.

The method further comprises a step of determining the charging power based on the first power information and the second power information using a computing unit, wherein the determined charging power represents an excess of the power provided in order to charge the battery of the vehicle with the determined charging power using the charging device.

According to a second aspect, the subject of the present invention is a computing unit for determining a charging power for charging a battery of a vehicle by means of a charging device according to claim 8.

According to a third aspect, the subject of the present invention is a charging device for charging a battery of a vehicle according to claim 9.

According to a fourth aspect, the subject of the present invention is a system for charging a battery of a vehicle according to claim 10.

According to a further aspect, the subject of the present invention is a computer program and a machine-readable storage medium.

The vehicle comprises a battery which is designed to at least partially supply a drive unit, in particular an electric motor, of the vehicle with electrical energy. It is conceivable that the vehicle is a battery-electric vehicle or a hybrid vehicle. The vehicle may be a land vehicle, an aircraft or a watercraft. For example, the vehicle is a car, a truck, an e-bike, an electrically powered helicopter or an electrically powered boat.

The vehicle includes a charging interface, which is electrically connectable to a charging interface of the charging device in order to charge or discharge the battery of the vehicle. The charging device comprises at least one further charging interface in order to connect the charging device directly or indirectly to the photovoltaic system and/or the consumer system. The charging device is preferably designed as a wallbox. It is conceivable that the charging device is arranged on an infrastructure element or a building.

The photovoltaic system includes one or more photovoltaic modules and an inverter. The photovoltaic modules are arranged, for example, on a roof of a building. The photovoltaic system is designed to provide electrical power generated by the photovoltaic modules and converted into alternating current by means of the inverter. The photovoltaic system can also include one or more electrical storage units, for example battery storage, which are designed to absorb or remove power provided in particular by photovoltaic modules of the photovoltaic system and to temporarily store it. The storage unit of the photovoltaic system is designed to provide the stored electrical energy to the charging device.

The consumer system includes one or more consumers different from the vehicle, which are preferably arranged on or in the building. The consumer system can also include one or more electrical storage units, for example battery storage, which are designed to absorb or remove and store power provided in particular by the photovoltaic system. The storage unit of the consumer system is designed to provide the stored electrical energy to the charging device.

Preferably, the charging device, the photovoltaic system and the consumer system are indirectly electrically connected or connected to one another by means of a distribution unit, in particular arranged on or in the building.

Determining the first performance information using a physical model is preferably a calculation of the performance information that is independent of sensory detection of a power actually provided by the photovoltaic system. That is, in other words, this Determining the first performance information is preferably carried out as an alternative to detecting or measuring the power actually provided by the photovoltaic system. An excess of power provided can be understood to mean a difference between the power provided by the photovoltaic system and the power consumed by the consumer system, the difference preferably being positive.

The first performance information preferably includes information regarding a power expected to be provided by the photovoltaic system, in particular at one or more predetermined times. The performance information can therefore include a predicted or predicted performance or a predicted or predicted time course of a future performance of the photovoltaic system. The first performance information is in particular a digital or analog signal which represents the power provided by the photovoltaic system.

In the context of the present application, a physical model can be understood as an algorithm or a mathematical function or mapping, which is set up to adapt one or more input variables using one or more physical relationships to one provided by the photovoltaic system, in particular presumably to represent performance.

Reading in the second performance information relating to the power consumed by the consumer system can include reading in or reading out the second performance information from a storage medium.

It is conceivable that the second performance information is provided by means of user input. It is also conceivable that the second performance information is determined or calculated using a model for the consumer system. It is also conceivable that the power consumed by the consumer system is detected or measured by sensors and provided to the computing unit as second performance information.

The second performance information preferably includes information regarding a service that is expected to be purchased by the consumer system, in particular at one or more predetermined times. The performance information can therefore be a predicted or predicted performance or include a predicted or predicted time course of a service of the consumer system that will be purchased in the future. The second performance information is in particular a digital or analog signal which represents the power consumed by the consumer system.

Determining the charging power based on the determined first power information and the read-in second power information is preferably a calculation of the charging power depending on the power provided by the photovoltaic system and the power taken by the consumer system. That is, in other words, the first and second power information represent input variables for determining the charging power.

The determined charging power is preferably a power that is expected to be available as excess power, in particular at one or more predetermined times, for charging the battery of the vehicle. The determined charging power can also include a predicted or predicted time course of a charging power that will be available for charging in the future. It is conceivable that the determined, expectedly available charging power differs from an actual excess of charging power.

Advantageously, the charging power is based on a difference between the power provided by the photovoltaic system, in particular expected, and the power taken, particularly expected, by means of the consumer system. It is conceivable that a power difference between the power expected to be provided by the photovoltaic system and the power expected to be consumed by the consumer system is determined for one or more predetermined points in time. It is conceivable that a power difference between the power expected to be provided by the photovoltaic system and the power actually consumed by the consumer system is determined at one or more predetermined times.

The computing unit can have one or more hardware and/or software

Have interfaces to the first performance information and/or the second Receive performance information. The computing unit can have one or more hardware and/or software modules in order to determine or calculate the first performance information and/or the second performance information and/or the charging power. The computing unit can have a hardware and/or software interface in order to output a signal with information regarding the determined charging power.

The computing unit can be arranged on the charging device, in particular integrated into the charging device. The computing unit can also be arranged away from the charging device, for example within a building, or be part of a cloud computing environment. The computing unit arranged away from the charging device is connected to the charging device wirelessly or by wire in order to transmit an analog or digital signal with information regarding the determined charging power to the charging device.

Through the method according to the invention and the computing unit according to the invention, it is now possible to provide a charging strategy for charging a vehicle battery, according to which an expected excess power of a photovoltaic system is used for charging. The present approach makes it possible to dispense with technically complex and expensive power measurement units, for example for measuring the power provided by the photovoltaic system or taken from the consumer system. At the same time, by using the physical model, the present approach offers the advantage over purely time-based controls of the charging power that the determined charging power corresponds with a higher probability or higher accuracy to the actual excess power actually provided by the photovoltaic system. This allows additional power consumption from a supply network or additional feeds into the supply network to be reduced.

It is advantageous if the charging power is determined taking into account at least one charging property of the charging device, the at least one charging property being selected from: maximum charging power of the charging device, predetermined charging power levels of the charging device. When determining the charging power, preference is given to both the maximum charging power of the charging device and a first charging property and predetermined ones Charging power levels of the charging device are taken into account as a second charging characteristic. Taking into account the maximum charging power of the charging device can include reducing the determined charging power to the maximum charging power if the determined charging power is greater than the maximum charging power. Taking into account the predetermined charging power levels of the charging device can include increasing or reducing the determined charging power to that of the predetermined charging power levels that deviates minimally, positively or negatively, from the determined charging power. This configuration allows typical non-linear characteristics of the charging device, such as power limitations and quantization steps for voltage and charging current, to be taken into account when determining the charging power.

It is also advantageous if the physical model is set up to determine the first performance information taking into account at least one input variable, the at least one input variable being selected from: spatial position of the photovoltaic system, orientation of the photovoltaic system, day and/or time and/or time zone , Overall efficiency T _tot of the photovoltaic system, Effective area A _e ff of the photovoltaic system, dP Maximum area-specific power density — .

The physical model preferably includes the determination of a dot product from a first vector and a second vector. The first vector represents or describes an angle of incidence of sun rays on the earth's surface for a predetermined spatial position of the photovoltaic system, a predetermined date and a predetermined time. The second vector represents or describes a predetermined spatial orientation of the photovoltaic system relative to the earth's surface.

With this configuration, essential influencing factors on the available excess of solar power can be taken into account, with the physical model being able to be implemented numerically efficiently at the same time in a computing unit assigned to the charging device.

It is also advantageous if the physical model is set up to provide the first performance information taking weather information into account determine. The weather information can be information regarding current weather or weather expected to occur at a predetermined time, in particular at a spatial position or a location of the photovoltaic system. The weather information can, for example, include information regarding precipitation and/or cloudiness. This configuration allows the power expected to be provided by the photovoltaic system to be estimated more reliably. The weather information can be provided to the computing unit, for example, by a local weather station or a database.

It is also advantageous if the read-in second performance information is determined using a consumer model that includes a, in particular expected, purchased service for one or more consumers of the consumer system.

The consumer model can have expected services received for individual consumers for specified points in time or times or time windows, in particular on specified days of the week, optionally at specified months or seasons.

The anticipated services included by the consumer model may be based on one or more user inputs from one or more users. It is conceivable that power values for different times, days, months are entered using a user interface, for example based on estimated values for the consumer's respective power consumption (e.g. maximum values for the power according to a consumer data sheet).

As an alternative to a consumer model, sensory detection or measurement of a power actually consumed by the consumer system can also be provided. According to a further alternative, a power consumed by these consumers can be detected by sensors for one or more consumers of the consumer system and the power consumed by these consumers can be determined for one or more further consumers of the consumer system using a consumer model. The consumer model can include a lookup table or be based on a data-based model such as Multilayer Perceptron. The lookup table is particularly user-friendly.

The consumer model can be part of a software and/or hardware module of the computing unit. It is also conceivable that the consumer model is implemented away from the computing unit, for example in a cloud computing environment. In this case, the power determined using the consumer model is transferred to the computing unit. Due to the increased storage resources provided by the cloud computing environment, high-time resolution consumer models can also be realized.

This configuration allows reproducible processes in electrical consumers, especially in private households, to be taken into account when photovoltaic surplus charging, thereby increasing the accuracy of the control.

It is also advantageous if the method includes a step of charging the battery of the vehicle with the determined charging power by means of the charging device, wherein, in particular, additional power is provided to the charging device by means of a power supply unit only if the determined charging power is greater than a difference between a power actually provided by the photovoltaic system and a power actually consumed by the consumer system, or a power consumption unit additional power is provided by the charging device if the determined charging power is smaller than the difference between the power actually provided by the photovoltaic system and that by the consumer system actual performance taken.

That is, in other words, in the event that the determined charging power, which represents an expectedly available surplus of power provided by the photovoltaic system, deviates from the actually available surplus, or there is no surplus at all, either additional power are provided by the power supply unit to the charging device or power is provided by the charging device to the power consumption unit become. The power consumption unit and/or power consumption unit can be a local storage unit, for example an electrical storage unit such as a battery. It is also conceivable that the power consumption unit and/or power consumption unit is designed as an electrical supply network, fed by one or more power plants. This configuration ensures that the vehicle is actually charged with the determined charging power, regardless of whether the actual excess power corresponds to the determined excess power.

Also advantageous is a computer program product or computer program with program code, which can be stored on a machine-readable carrier or storage medium such as a semiconductor memory, a hard drive memory or an optical memory and for carrying out, implementing and / or controlling the steps of the method according to one of the embodiments described above is used, especially if the program product or program is executed on a computer or a computing unit.

The invention will be explained in more detail below with reference to the drawings.

Show this

1 shows a schematic representation of an electrical network for a photovoltaic surplus charging of a vehicle;

Fig. 2 is a block diagram of a control system;

Fig. 3 is a block diagram of a control with the control path according to Fig. 2;

Fig. 4 is a schematic representation of a coordinate system for defining solar azimuth and solar elevation;

5 shows a schematic representation of a coordinate system for defining longitude and latitude; and 6 shows a flowchart of a method for determining a charging power for charging a battery of a vehicle.

Fig. 1 shows a schematic representation of an electrical network, which enables photovoltaic excess charging of a battery-electric vehicle 30, for example on a residential building 10.

A charging device 12 designed as a wallbox 12, a photovoltaic system 14 with photovoltaic modules 16 and an inverter 18, and a consumer system 20 with one or more electrical consumers are arranged on the residential building 10. Furthermore, the residential building 10 includes an electrical distribution unit 22.

The photovoltaic system 14 is designed to provide electrical power generated by the photovoltaic modules 16 and converted into alternating current by means of the inverter 18 to the consumer system 20, the charging device 12 and / or to a supply network 26 that electrically connects the residential building 10 to a power plant. For this purpose, the distribution unit 22 comprises a plurality of electrical interfaces which are designed to provide an electrical connection between the distribution unit 22 and the inverter 18, between the distribution unit 22 and the consumer system 20, between the distribution unit 22 and the charging device 12 and between the distribution unit 22 and the supply network 26 to enable. According to the present exemplary embodiment, the charging device 10 is electrically connected to the photovoltaic system 14 and the consumer system 20 indirectly via the distribution unit 22.

The charging device 12 is assigned a computing unit 28, which can be arranged on the charging device 12, in particular integrated into the charging device 12. It is also conceivable that the computing unit 28 is arranged away from the charging device 12, for example within the residential building, or is part of a cloud computing environment.

The computing unit 28 is set up to determine a charging power for charging a battery 32 of the vehicle 30 using the charging device 12. For this The computing unit 28 includes a processor, a storage medium with a computer program, and at least one communication interface. The computer program includes commands which, when executed by the processor, cause a charging power for charging the battery 32 of the vehicle 30 to be determined according to the method described below.

For this purpose, the computing unit 28 is set up to determine first performance information regarding a power provided by the photovoltaic system 14 using a physical model described in more detail with the aid of FIGS. 4 and 5. Furthermore, the computing unit 28 is set up to read in second performance information regarding a power consumed by the consumer system 20. Furthermore, the computing unit 28 is set up to determine the charging power based on the first power information and the second power information. Here, the determined charging power represents an excess of the power provided in order to charge the battery 32 of the vehicle 30 with the determined charging power using the charging device 12.

2 shows a block diagram of a control section 34 on which the charging of the vehicle 30 is based with the determined charging power. The spreader section 34 has the charging power P _batt:re f determined by means of the computing unit 28 as the manipulated variable or control intervention and the control variable is one from the supply network 26 provided or a service purchased by means of the supply network or exported into the supply network assigned to P _grid .

Here, the power P _grid , which is exported into the supply network 26 or imported from the supply network 26, corresponds, in simplified terms, to a difference between a power Psoiar actually provided by the photovoltaic system 16 and the charging power P _batt , by means of which the battery 32 of the vehicle 30 is charged , as well as the power P _CO nsumer> actually consumed by the consumer system 20, which corresponds to the current consumption of all other electrical devices in the residential building 10:

Pgrid Psoiar Pbatt Pconsumer

Furthermore, the control path 34 takes into account a first charging property 36 of the charging device 12 and a second charging property 38 of the charging device 12. The first charging property 36 represents a maximum charging power of the charging device 12, which can be provided by the charging device 12 for charging the battery 32 of the vehicle 30, for example 11 kW. The charging device 12 is set up to charge the battery 32 of the vehicle 30 with the maximum charging power if the determined charging power P _batt:re f exceeds the maximum charging power.

The second charging property 38 represents predetermined charging power levels of the charging device 12, according to which the charging power that can be provided for charging the battery 32 of the vehicle 30 is discretized, for example 1.4 kW, 3.7 kW, 7.4 kW, 11 kW. The charging device 12 is set up to charge the battery 32 of the vehicle 30 with a charging power which deviates minimally in magnitude or positively or negatively from the determined charging power.

That is, in other words, the control path 34 takes into account typical non-linear characteristics of the charging device 12 such as power limitations and quantization steps for voltage and charging current. The non-linear properties of the charging device 12 or wallbox 12 preferably include a quantization of the charging current or the charging power and a lower limit at zero (i.e. no feedback from the vehicle 30 into the charging device 12 or into an electrical network of the residential building 10) as well as a upper limit, which is given by an electrical design of the charging device 12.

3 shows a block diagram of a control with the control path according to FIG the control algorithm 42, a physical model 44 and a consumer model.

The goal of model-based control is to best estimate the power that is likely to be available for the battery-electric vehicle. Under the two conditions that the solar power that is likely to be available can be calculated, for example, with the help of time, date and current weather data and the most important others Consumers in the household are also largely familiar (e.g. time-based control of a heating system and estimated value for the corresponding power consumption), the reference value for the charging power of the battery-electric vehicle can be estimated as follows:

Pbatt ref Psolar.prd Pconsumer ,prd

That is, in other words, the power P _CO nsumer,prd predicted using the consumer model is subtracted from the charging power for the vehicle determined using the physical model.

According to this embodiment of the invention, the physical model 44 is designed as a simplified model which contains the most important physical relationships for determining or estimating the solar power expected to be provided by the photovoltaic system

P _{so ia} r,prd includes and at the same time can be implemented particularly easily in a software function for a charging device.

The physical model 44 is set up to map one or more input variables using one or more physical relationships to a solar power Psoiar.prd that is expected to be provided by the photovoltaic system.

In particular, the physical model 44 is set up to determine the power expected to be provided by the photovoltaic system depending on one or more, in particular a combination, of the following input variables:

Spatial position of the photovoltaic system, preferably represented by a latitude <p and a longitude A,

Time LZ and/or time zone ZZ and/or Julian day/, orientation of the photovoltaic system, preferably represented by an azimuth angle a' _s and an elevation angle y' _s

Weather information r] _weather ,

Overall efficiency T _tot of the photovoltaic system,

Effective area A _e ff of the photovoltaic system, dP

Maximum area-specific power density —

. The determination of the solar power P _soiar , prd according to the physical model 44 is preferably based on a calculation of a dot product of a first vector and a second vector, which are preferably standardized unit vectors. The first vector represents or describes an angle of incidence of sun rays on the earth's surface for a predetermined spatial position of the photovoltaic system, a predetermined date and a predetermined time. The second vector represents or describes a predetermined spatial orientation of the photovoltaic system relative to the earth's surface.

The determined or calculated dot product represents an efficiency rh _oc for the photovoltaic system arranged at the specified spatial position and aligned according to the specified spatial orientation on the specified date at the specified time. In other words, the result from this scalar product describes an efficiency rh _oc for the location and orientation of the photovoltaic system, which has a dP specified maximum possible area-specific power density - which can ideally be converted into electrical power per area in the photovoltaic system, reduced accordingly.

The power expected to be provided by the photovoltaic system assuming ideal weather conditions

corresponds to a product of the maximum possible area-specific dP

Power density — , an effective area A _e ff of the photovoltaic system, efficiency r _loc and an overall efficiency _riges . Here, the overall efficiency T _tot represents one or more individual efficiencies of one or more photovoltaic modules of the photovoltaic system as well as an efficiency of an inverter of the photovoltaic system.

Taking into account weather information regarding current or expected weather conditions at the specified location of the photovoltaic system

corresponds to a product of the power expected to be provided by the photovoltaic system assuming ideal weather conditions and one the efficiency representing the weather information rj _weather . The weather information can be provided, for example, by a local weather station or a database. The efficiency ri _weather , which represents the weather information, decreases as the degree of cloudiness increases and/or the onset of precipitation and/or the light intensity decreases. This allows the local weather influence on solar output to be taken into account.

Fig. 4 shows a schematic representation of a coordinate system for defining solar azimuth and solar elevation in order to determine the first vector. The first vector represents an angle of incidence of sun rays on the earth's surface for a given spatial position of the photovoltaic system, a given date and a given time. That is, in other words, the first vector describes a line of sight 50 between an observer 48 on the earth positioned at the predetermined spatial position at the predetermined date and time and the sun 46.

The first vector is determined using the solar elevation y _s and the solar azimuth a _s . To define the solar elevation y _s and the solar azimuth a _s , a relative spherical coordinate system and a point on a horizontal plane at which the photovoltaic system is arranged on the earth's surface are considered.

The solar azimuth a _s according to 00 h 00 h

indicates the projected direction on the horizontal plane. The solar elevation y _s according to y _s = arcsin (COS(ÜJ) * cos(<p) * cos(3) + sin(<p) * sin(3)) indicates the height above the horizontal plane.

This means that the two angular quantities solar elevation y _s and solar azimuth a _s depend on the hour angle, the latitude <p, the solar declination 8 and the true time IVOZ. This allows the solar elevation y _s and Solar azimuth a _s can be determined using a position of the observer 48 or a spatial position of the photovoltaic system, the specified date and the specified time.

The spatial position of the photovoltaic system is specified using a second coordinate system that describes the spatial position on the earth's surface. The geographical coordinates longitude A and latitude <p are assigned to the second coordinate system, which refer to the center of the earth as the origin. The location of the photovoltaic system can be determined by specifying a longitude A and a latitude <p.

In addition to a temporal change or a course of the sun's position during a day, an observer 48 at a given location on Earth also perceives a change in this course over the year. As is well known, this fact can be explained by a movement of the Earth around the Sun and an inclination of the Earth relative to a plane of motion associated with this movement, which is also referred to as the ecliptic plane.

The solar declination 8 can be determined using the following relationship:

8 = arcsin (A ■ sin (J ¹ — B + C ■ sin(/' — D)

The parameter A describes the earth's tilt in radians. In the present model, the constant B determines that the solar declination reaches its maximum value on December 21st. The constants C and D represent correction values for effects that arise both from interactions with other celestial bodies and from effects inside the Earth. The parameter J' describes a normalization for the Julian day J:

360°

365.25 days

The Julian day describes the continuous counting of days since the first of January in the year zero and can therefore be determined from the current date. The true local time IVOZ describes the current time depending on the position of the sun: mln

WOZ = LZ — ZZ + 4-j- ■ A + Add

The parameters LZ and ZZ describe the current time and a time zone for the location of the photovoltaic system. The parameter A indicates the longitude for this location as described above. The Zgl parameter in turn describes a correction term for the true local time WOZ, which depends on the respective date:

/360\/360\/360

Zgl = E sm 2 — (/ - 81) - F eos — (/ - 81) - G sin — (/ - 81) y 365 ) y365 ) y365 where the parameters E, F and G represent constant numerical values.

Finally, the true local time can be converted into the so-called hour angle as follows:

0) = (12: 00/1 - WOZ) ■ 15 - h

5 shows a schematic representation of a coordinate system for defining longitude and latitude in order to determine the second vector. The second vector represents a given spatial orientation of the photovoltaic system relative to the earth's surface. In particular, the second vector is perpendicular to an effective area A _e ff of the photovoltaic system. The second vector can be determined in the relative spherical coordinate system using a further azimuth angle a' _s and a further elevation angle y' _s . The further azimuth angle a' _s and the further elevation angle y' _s can be determined, for example, using trigonometric relationships from an inclination and an orientation of a roof on which the photovoltaic system is arranged.

The determination of the scalar product is preferably preceded by a step of transforming the first and second vectors from the relative spherical coordinate system into a common, in particular Cartesian, coordinate system. The consumer model includes, in particular, a service that is expected to be purchased for one or more consumers of the consumer system. The consumer model includes information regarding a, in particular expected, service P _CO nsumer,prci of one or more, in particular a totality, of the consumers of the consumer system for one or more predetermined points in time or time windows or periods. For this purpose, the consumer model includes, for example, a lookup table. The lookup table can show expected services for individual consumers, such as heat pumps, stoves, ovens, dishwashers, etc. for specified times or times or time windows. Such large consumers in a household have a certain probability of having a reproducible power consumption or power requirement at certain times.

Furthermore, the lookup table can show expected services for individual or all consumers for specified points in time or times or time windows on specified days of the week. This makes it possible to take into account that power consumption or performance requirements can differ, for example, between working days and weekend days.

Furthermore, the lookup table can have expected recorded services for individual or all consumers for predetermined points in time or times or time windows on predetermined days of the week in predetermined months or seasons. This allows seasonal differences to be taken into account.

According to a further embodiment, the power actually consumed by the consumer system can be determined from a measurement of the power P _grid taken from the electrical supply network or delivered to the electrical supply network, for example at a house connection point. For this purpose, the charging power P _batt determined according to the present investigation procedure and the power P _{so iar} provided by the photovoltaic system are deducted from the power P _grid . It is then possible to calculate the power consumed by the consumer system P _consU mer = Psoiar ~ Pbatt ~ Pgrid or a difference between consumer power and solar power P _CO nsumer ~ Psoiar = -Pbatt ~ Pgna, provided P _{so iar} is not known. In the case of an adaptive consumer model, existing values in individual cells of a lookup table are replaced by new values if, for example, a new performance value P _CO nsumer or P _CO nsumer ~ Psoiar has been determined at a certain time. An associated adaptation speed of replacing old with new power values can be selected such that power consumption, which is based in particular on reproducible processes in a household, can be reliably recorded.

6 shows a flowchart of the method 100 for determining a charging power for charging a battery of a vehicle using a charging device.

In step 110, first performance information regarding a power provided by the photovoltaic system is determined using a physical model by means of a computing unit.

In step 120, second performance information relating to a power consumed by the consumer system is read in using the computing unit.

In step 130, the charging power is determined based on the first power information and the second power information using the computing unit.

Here, in step 132, a power difference is determined between the power provided by the photovoltaic system and the power consumed by the consumer system.

Furthermore, in step 134, the charging power is determined based on the determined power difference and taking into account a first charging characteristic of the charging device and a second charging characteristic of the charging device. The first charging characteristic represents a maximum charging power of the charging device. The second charging characteristic represents predetermined charging power levels of the charging device. In step 140, the battery of the vehicle is charged with the determined charging power using the charging device. Here, additional power is provided to the charging device by means of a power supply unit if the determined charging power is greater than a power difference between a power actually provided by the photovoltaic system and a power actually consumed by the consumer system. Alternatively, additional power is provided to a power consumption unit by means of the charging device if the determined charging power is smaller than the power difference between the power actually provided by the photovoltaic system and the power actually consumed by the consumer system.

Claims

Expectations

1. Method (100) for determining a charging power for charging a battery (32) of a vehicle (30) by means of a charging device (12), the charging device (12) being electrically connectable to a photovoltaic system (14) and a consumer system (20). , in particular, is associated with the following steps:

Determining (110) first performance information regarding a power provided by the photovoltaic system (14) using a physical model (44);

Reading in (120) second performance information relating to a power consumed by the consumer system (20); and determining (130) the charging power based on the first power information and the second power information by means of a computing unit (28), wherein the determined charging power represents an excess of the power provided in order to charge the battery (32) of the vehicle (30) with the determined charging power to be charged using the charging device (12).

2. Method (100) according to claim 1, characterized in that the charging power is based on a difference between the power provided by the photovoltaic system (14), in particular presumably, and the power taken, in particular presumably, by means of the consumer system (20).

3. Method (100) according to claim 1 or 2, characterized in that the charging power is determined taking into account at least one charging property of the charging device (12), the at least one charging property (36, 38) being selected from: Maximum charging power of the charging device ( 12), predetermined charging power levels of the charging device (12).

4. Method (100) according to one of the preceding claims, characterized in that the physical model (44) is set up to take the first performance information into account at least one To determine the input variable, the at least one input variable being selected from:

Spatial position of the photovoltaic system (14),

Alignment of the photovoltaic system (14),

day and/or time and/or time zone,

Overall efficiency T _tot of the photovoltaic system (14),

Effective area A _e ff of the photovoltaic system (14), dP

Maximum area-specific power density — . Method (100) according to one of the preceding claims, characterized in that the physical model (44) is set up to determine the first performance information taking weather information into account. Method (100) according to one of the preceding claims, characterized in that the read-in second performance information is determined using a consumer model which includes a, in particular expected, purchased power for one or more consumers of the consumer system (20). Method (100) according to one of the preceding claims, characterized by a step (140) of charging the battery (32) of the vehicle (30) with the determined charging power by means of the charging device (12), wherein the charging device (12) is provided with additional power by means of a Power supply unit (24) is provided if the determined charging power is greater than a difference between a power actually provided by the photovoltaic system (14) and a power actually consumed by the consumer system (20), or a power consumption unit (24) provides additional power by means of the charging device (12) is provided if the determined charging power is smaller than the difference between the power actually provided by the photovoltaic system (14) and the power actually consumed by the consumer system (20). Computing unit (28) for determining a charging power for charging a battery (32) of a vehicle (30) by means of a charging device (12), the charging device (12) having a photovoltaic system (14) and a Consumer system (20) is electrically connectable, in particular connected, and the computing unit (28) is set up to determine first performance information regarding a power provided by the photovoltaic system (14) using a physical model (44), second performance information regarding a means to read in the power taken from the consumer system (20) and to determine the charging power based on the first power information and the second power information, the determined charging power representing an excess of the power provided in order to charge the battery (32) of the vehicle (30) with the determined To charge charging power using the charging device (12). Charging device (12) for charging a battery (32) of a vehicle, the charging device (12) being electrically connectable, in particular connected, to a photovoltaic system (14) and a consumer system (20), comprising a computing unit (28) according to claim 8, and is designed to charge the battery (32) of the vehicle (30) with the charging power determined by the computing unit (28). System for charging a battery (32) of a vehicle, the system comprising a charging device (12) which is electrically connectable, in particular connected, to a photovoltaic system (14) and a consumer system (20) and a computing unit (28) according to claim 8, wherein the Computing unit (28) is arranged away from the charging device (12) and the charging device (12) is designed to charge the battery (32) of the vehicle (30) with the charging power determined by the arithmetic unit (28). Computer program which, when executed on a computer or a computing unit (28), is set up to execute and/or control all steps of a method (100) according to one of claims 1 to 7. Machine-readable storage medium with a computer program stored thereon according to claim 11.