Vehicle-mounted charging system

Abstract

The vehicle-mounted charging system charges a battery mounted in an electric vehicle by means of power supplied from a residence. The vehicle-mounted charging system comprises: an outside world recognition unit mounted in the electric vehicle and detecting outside world information of the electric vehicle; an information acquisition unit that acquires device information of electrical devices installed in a house; a power consumption estimation unit that calculates, on the basis of the outside information and the device information, a power consumption estimation value for an electrical device provided in the residence when the battery is charged; and a charging power determination unit that determines a charging plan for the battery on the basis of the estimated power consumption value, the charging power determination unit determining the charging plan such that the sum of the charging power of the battery and the estimated power consumption value is lower than the upper limit value of the power that can be consumed in the residence.

Description

Technical Field

[0001] The present invention relates to an in-vehicle charging system. Background Art

[0002] Conventionally, a charging system is known which charges a battery of an electric vehicle using electric power supplied from the outside to a house (for example, refer to Patent Document 1). The house includes a power detection device provided between a distribution board and an in-house electric load, and an electric vehicle charger provided with a charging controller, a converter, a charging plug, etc. The charging controller always senses the power load condition of the in-house electric load through the power detection device.

[0003] When charging the battery of the electric vehicle, the plug of the electric vehicle charger is connected to the charging port of the electric vehicle. The charging controller provided in the electric vehicle charger receives signals regarding the battery state, etc. from the electric vehicle side through a communication antenna, calculates the charging power for the electric vehicle, and sends its control signal to the electric vehicle side. Prior Art Documents Patent Documents

[0004] [Patent Document 1] Japanese Patent No. 5168891 Summary of the Invention Technical Problem to be Solved by the Invention

[0005] However, in the device described in Patent Document 1, special devices such as a power detection device for detecting the power load condition of the in-house electric load and a charging controller for calculating the charging power are required on the house side. Technical Means for Solving the Technical Problem

[0006] The in-vehicle charging system according to an aspect of the present invention charges a battery mounted in an electric vehicle using electric power supplied from a house, and includes: an external recognition unit that is mounted in the electric vehicle and detects external information of the electric vehicle; an information acquisition unit that acquires device information of electrical equipment provided in the house; a power consumption estimation unit that calculates an estimated value of the power consumption of the electrical equipment provided in the house during battery charging based on the external information and the device information; and a charging power determination unit that determines a charging plan for the battery based on the estimated power consumption value, and the charging power determination unit determines the charging plan such that the sum of the charging power of the battery and the estimated power consumption value is lower than the upper limit value of the power that can be consumed in the house. Advantageous Effects of the Invention

[0007] According to the present invention, there is no need for a device in a residence to estimate power consumption or generate a charging plan. The electric vehicle alone can estimate the power consumption of the residence and generate a charging plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 FIG. is for explaining Embodiment 1 of the present invention. Figure 2 FIG. is a functional block diagram of an integrated controller. Figure 3 FIG. is for explaining the power consumption estimated by a power consumption estimation unit. Figure 4 FIG. is an example of power consumption prediction of a residence. Figure 5 FIG. is for explaining details of generating a charging plan. Figure 6 FIG. is a diagram showing an example of a charging plan. Figure 7 FIG. is a flowchart showing a series of operations in an in-vehicle charging system. Figure 8 FIG. is for showing Figure 7 FIG. is a flowchart showing detailed processing of information acquisition processing in step S202 shown in FIG. Figure 9 FIG. is a block diagram for explaining Embodiment 2 of the present invention. Figure 10 FIG. is a flowchart for explaining the operation of the in-vehicle charging system of Embodiment 2. Figure 11 FIG. is for showing Figure 10 FIG. is a flowchart showing an example of details of a charging plan correction process shown in step S220 of FIG. Figure 12 FIG. is a diagram showing a display example of an information presentation unit. Figure 13 FIG. is a diagram showing another example of a display example of an information presentation unit. Figure 14 FIG. is a block diagram for explaining Embodiment 3 of the present invention. Figure 15 FIG. is a flowchart for explaining Modification 1. Figure 16 FIG. is for explaining Modification 2. DETAILED DESCRIPTION OF THE INVENTION

[0009] Next, embodiments of the semiconductor device according to the present invention will be described with reference to the accompanying drawings. The following description and drawings are examples for explaining the present invention, and for clarity of explanation, appropriate omissions and simplifications are made. In addition, in the following description, the same or similar elements and processes are denoted by the same reference numerals, and repeated explanations may be omitted. The content described below always represents an example of the embodiments of the present invention, and the present invention is not limited to the following embodiments, and various other embodiments may also be implemented.

[0010] (Embodiment 1) Figure 1 FIG. 1 shows the device structure of the electric vehicle 1 and the house 2 in Embodiment 1 of the present invention. The house 2 buys and sells electricity from the power company through the power system 21. The distribution board 24 installed in the house 2 is connected to the power system 21 through the electricity meter 22 for measuring the bought and sold electricity and the amperage breaker 23 for cutting off the power supply when the power capacity contracted with the power company is exceeded. The distribution board 24 distributes power to the electrical loads 25 and the sockets 26 used in the house 2.

[0011] The electric vehicle 1 has an in-vehicle charging system 10 including an in-vehicle charger 12 and a battery 11 for driving the vehicle. The in-vehicle charger 12 includes a charger controller 13 for controlling the voltage and current when charging the battery 11. The battery 11 includes a battery sensor 14 for monitoring the battery state.

[0012] The in-vehicle charging system 10 further includes an integrated controller 110, an external recognition unit 120, and an information acquisition unit 130. The integrated controller 110, the external recognition unit 120, and the information acquisition unit 130 are configured to be able to communicate with the charger controller 13 and the battery sensor 14 via the communication bus 16. The details of the integrated controller 110, the external recognition unit 120, and the information acquisition unit 130 will be described below. In addition, the integrated controller 110 includes an arithmetic unit composed of a CPU or the like and a storage unit composed of memories such as RAM and ROM, a hard disk, a recording medium such as a CD-ROM, and functions as the integrated controller 110 by executing the programs stored in the storage unit.

[0013] When charging the battery 11 of the electric vehicle 1, the in-vehicle charger 12 is connected to the socket 26 of the house 2 through the charging cable 27. Although not shown in the figure, the charging cable 27 includes a control box. The control box confirms the connection state with the electric vehicle 1 and notifies information such as whether power supply is possible and the current value that can be provided to the electric vehicle 1 to the charger controller 13 and the integrated controller 110. As described below, the integrated controller 110 generates a charging plan when charging the battery.

[0014] The charger controller 13 obtains the charging status and temperature of the battery 11 through the battery sensor 14. When the charger controller 13 is notified that it can be powered through the charging cable 27, the in-vehicle charger 12 charges the battery 11. The charger controller 13 controls the voltage and current of the in-vehicle charger 12 based on the charging plan generated by the integrated controller 110 and the obtained charging status and temperature of the battery 11 to charge the battery 11.

[0015] <External recognition unit 120> The external recognition unit 120 is an in-vehicle sensor provided in the electric vehicle 1. For example, in addition to temperature sensors, illuminance sensors, humidity sensors, rain sensors, etc., it also includes cameras, radars, GPS (Global Positioning System) devices, acceleration sensors, etc. The detection information of the temperature sensor, illuminance sensor, and humidity sensor is used to calculate and correct the power consumption of electrical loads 25 such as air conditioners and refrigerators used in the residence 2. The rain sensor is used to estimate the operating status of electrical loads 25 such as lighting and washing dryers. The cameras and radars are used to detect the garage and covered parking lot provided in the residence 2. These detections are performed when it is recognized that the vehicle is in motion or outdoors. The GPS device is used to detect the position information of the electric vehicle 1. The acceleration sensor is used for, for example, earthquake detection, and charging is stopped when an earthquake is detected.

[0016] <Information acquisition unit 130> The information acquisition unit 130 is constituted by, for example, a human-machine interface provided in the electric vehicle 1 and includes an input unit. As the human-machine interface, for example, a touch panel type display device is preferable. In addition to various settings and adjustments of the driving characteristics and comfort devices of the electric vehicle 1, this human-machine interface can also be used as a navigation system and an audio system. By operating the input unit of the information acquisition unit 130, the user can provide information to the in-vehicle charging system 10 through the information acquisition unit 130 while in the state of riding in the electric vehicle 1. The user operates the input unit of the information acquisition unit 130 and inputs information related to the electrical load 25 that consumes power into the in-vehicle charging system 10. The input information is stored in the storage unit of the above-mentioned integrated controller 110.

[0017] The information regarding the electrical load 25 includes: the contract capacity signed with the power company, which is the upper limit of the power capacity of the residence 2; whether there is a plan in the contract for the electricity fee to vary according to time periods, and the time periods and fees; the residence information including the floor plan and structure of the residence 2, the type of residence such as a single-family house or an apartment, and hot water supply, heating equipment, etc.; the home appliance product information of the residence 2, etc. The home appliance product information includes the type of home appliances, power consumption, the time periods when the home appliance products are used, and the information required for estimating the power consumption such as the operating time. The home appliances include AV home appliances such as televisions, radios, and electronic musical instruments, information home appliances such as personal computers, video game consoles, and telephones, household chores home appliances such as washing machines and vacuum cleaners, cooking home appliances such as refrigerators, rice cookers, and microwave ovens, seasonal home appliances such as air conditioners, electric fans, electric stoves, and electric blankets, lighting equipment, heat pump water heaters, ventilation fans, and other residential equipment.

[0018] In addition, in the present embodiment, as the information acquisition unit 130, a touch panel type display device such as a navigation system provided in the electric vehicle 1 will be taken as an example for description, but it is not limited thereto as long as it is a device capable of acquiring the information required for estimating the power consumption of the residence 2. For example, the information acquisition unit 130 may be configured on a server to which the residents of the residence 2 can connect from an arbitrary terminal via the Internet or the like. Moreover, a device (for example, a display device) constituting a part of the information acquisition unit 130 is provided in the electric vehicle 1. The vehicle refers to and acquires this information on the vehicle side by the user inputting the capacity of the amperage breaker 23 of the residence 2, the home appliance product information of the residence 2, etc. from the information acquisition unit 130 on the server via a communication system (not shown).

[0019] <Integrated controller 110> Figure 2 It is a functional block diagram of the integrated controller 110. The integrated controller 110 includes at least a power consumption estimation unit 111 and a charging power determination unit 112.

[0020] The external information detected by the external recognition unit 120 and the information regarding the electrical load 25 acquired by the information acquisition unit 130 are input to the power consumption estimation unit 111. The power consumption estimation unit 111 generates the operating mode of each home appliance product based on these input information and estimates the power consumption of the residence 2. The details of the estimation process will be described later.

[0021] Information about the electrical load 25 acquired by the information acquisition unit 130, battery information (the charging state or temperature of the battery 11) acquired by the battery sensor 14, and the power consumption prediction of the house 2 (sometimes referred to as the power consumption estimated value) estimated by the power consumption estimation unit 111 are input to the charging power determination unit 112. The charging power determination unit 112 sets the upper limit power (the so-called circuit breaker tripping state) at which the ampere circuit breaker 23 cuts off the current according to the acquired power contract information of the house 2. In addition, the charging power determination unit 112 generates a charging plan based on the power consumption prediction of the house 2 estimated by the power estimation unit 111 and the battery information from the battery sensor 14, such that the sum of the power consumption prediction of the house 2 and the power for charging the battery 11 does not exceed the above upper limit power.

[0022] For example, the charging plan is provided in the form of a table that sets the time and the upper limit value of the power available for charging the battery 11 (hereinafter referred to as the charging upper limit power). The generated charging plan is output to the charger controller 13. The charger controller 13 charges the battery 11 with a power below the charging upper limit power according to the charging plan.

[0023] <Power consumption of house 2 estimated by power consumption estimation unit 111> Figure 3 This is a diagram for explaining the power consumption estimated by the power consumption estimation unit 111. The estimation of the power consumption is to predict the evolution of the power consumption in the house 2 from the start time t1 of charging the electric vehicle 1 as the starting point to the end time t2 of charging the battery 11. The estimation result is generated as a power consumption distribution diagram (or table) plotted with the horizontal axis representing time and the vertical axis representing power. In Figure 3 the example shown, it shows the case where the electric vehicle 1 returns home at 10:00 (time t1) and starts charging from that time, and finishes charging at 22:00 (time t2). The time up to 22:00 is shown here as the end time of charging, but it is also okay to include the subsequent time for prediction. For example, it can be a time for prediction such as the next 24 hours or the next 48 hours regardless of the charging completion time. By making a prediction when exceeding the end time of charging, for example, even if the charging of the battery 11 of the electric vehicle 1 is not completed as planned, it is possible to judge whether continued charging will not exceed the contract power of the house 2 and prevent a power outage in the house 2.

[0024] The power consumption estimation unit 111 generates, based on the information about the household appliances used in the house 2 acquired by the information acquisition unit 130, as shown in Figure 3 (a), Figure 3 (b), Figure 3(c) Power consumption prediction of each household electrical appliance shown. At this time, the power consumption estimation unit 111 classifies according to the usage form and power consumption of household electrical appliances, etc., and implements the estimation of the power consumption corresponding to each category, thereby generating a power consumption prediction.

[0025] Figure 3 (a) shows an example of the power consumption prediction of household electrical appliances that are assumed to operate approximately during the period when the user stays in the house 2, such as AV household appliances or information household appliances. Since such household electrical appliances consume almost constant power regardless of environmental factors such as temperature, it reflects the power consumption value input by the user. For example, during the time period when it is considered that the residents of the house 2 are sleeping, the power consumption can be set to 0, and this time can be adjusted by obtaining the sleeping time of the residents. In addition, the designer can preset that the time from 0:00 to 5:00 is equivalent to 1 / 10 of the standby power, etc.

[0026] Figure 3 (b) shows an example of the power consumption prediction of household electrical appliances whose power consumption varies according to external temperature, humidity, etc. Here, the power consumption prediction of an air conditioner is shown. The efficiency of devices that operate on the heat pump cycle, such as air conditioners and refrigerators, varies according to temperature setting conditions, the temperature of the surrounding environment where they are installed, etc. Therefore, for example, preferably, based on the measurement results of air temperature and sunlight intensity obtained by the atmospheric temperature sensor and illuminance sensor as the external recognition unit 120, the power consumption of the air conditioner or refrigerator is appropriately corrected and estimated. The power evolution of the air conditioner is that the power consumption is relatively large immediately after startup, and as the temperature of the air-conditioned room approaches the set temperature, the power consumption becomes smaller.

[0027] Figure 3 (b) shows an example of operating the air conditioner starting from the moment t1 when charging starts. Here, immediately after starting the air conditioner, the power consumption equivalent to the rated power consumption is generated, and then the air conditioner operates stably, generating a fixed power consumption depending on the external air temperature, thereby generating a power consumption prediction. For example, it is assumed that after operation, it takes one hour to transition from the operation of the rated power to the power consumption during stable operation. Moreover, regarding the power consumption during stable operation, the power consumption value is set by referring to the power consumption map during stable operation based on the air temperature and illuminance around the house 2 detected by the external recognition unit 120.

[0028] As a method for setting the power consumption value during stable operation, for example, there is a non-patent document (Tsuyoshi Ueno, Hiroyuki Kitahara; Report of the Electric Power Central Research Institute, Development of a heat source characteristic model for household air conditioners, Comprehensive Report, R09(2015), https: / / criepi.denken.or.jp / hokokusho / pb / reportDetail?reportNoUkCode=R09) (referenced on August 18, 2022). In addition, according to the technologies shown in non-patent documents (National Institute of Advanced Industrial Science and Technology; Technical information related to the evaluation of energy consumption performance based on energy conservation standards in 2016 (residences), https: / / www.kenken.go.jp / becc / documents / house / 4-3_210401_v07.pdf), (referenced on August 18, 2022), the power consumption of the air conditioner can be calculated based on the housing information of the residence 2 acquired by the information acquisition unit 130.

[0029] Figure 3 (c) shows the power consumption prediction of home appliances that generate power consumption according to time periods and home appliances that generate power consumption according to weather. As an example, it shows the power consumption prediction of an IH induction cooker as a cooking appliance. As home appliances that generate power consumption according to time periods, they correspond to cooking appliances, housework appliances, lighting, etc. Home appliances that generate power consumption according to weather correspond to lighting, washing and drying machines, etc.

[0030] In the case of home appliances that generate power consumption according to time periods, the information acquisition unit 130 acquires the power consumption value and the main time periods of use, and reflects them in the plan. The time periods divide a day into hours, every 30 minutes, or every 3 hours, etc., and let the user select which time periods to use. In Figure 3 the case of the IH induction cooker (cooking appliance) shown in (c), since a power consumption demand is generated near the time when the user in Residence 2 has a meal, a plan is generated based on the meal time. For devices that operate at a fixed time (such as a water heater), the operation time is obtained from the user or the device.

[0031] In the case of home appliances that generate power consumption due to weather, the generation of power consumption is estimated based on the detection information of a rain sensor or an illuminance sensor as the external recognition unit 120. For example, in the case of a washing and drying machine, when rain is detected by the rain sensor and information that the user uses the washing and drying machine on a rainy day is obtained, it is assumed that power consumption will be generated and a power consumption prediction is planned.

[0032] In addition, in the case of lighting that generates power consumption according to time periods and weather, the magnitude of power consumption is predicted by obtaining the number of lighting fixtures corresponding to the floor plan and the number of rooms from the residential information acquired by the information acquisition unit 130. The power consumption estimation unit 111 generates an operation prediction based on the time period after sunset or the ambient illuminance information obtained from the illuminance sensor serving as the external recognition unit 120, and predicts power consumption based on this operation prediction. For example, assuming a situation where the brightness is insufficient even before sunset, such as on a rainy day, an operation prediction assuming the use of lighting is generated. In addition, the usage time period of lighting can be set based on the sunset of the previous day or the past week detected by the external recognition unit 120.

[0033] Figure 4 is obtained by adding up the power consumptions of the home appliances shown in Figure 3 (a), Figure 3 (b), and Figure 3 (c), which is an example of the power consumption prediction of Residence 2. In Figure 4 , the line shown by the solid line is the power consumption prediction, and the line shown by the dashed line is the upper limit of the power consumption at which the amperage breaker 23 operates. Of course, this is only a prediction of the power consumption expected in Residence 2, so the actual power consumption does not necessarily match the Figure 4 predicted value shown. In Figure 3 (a), Figure 3 (b), Figure 3 (c), a television, lighting, air conditioner, and IH induction cooker are shown as examples, but there can of course be other home appliances used in Residence 2. For other home appliances and electrical loads in use, predictions suitable for their usage patterns are made in the same way to predict power consumption.

[0034] As described above, the power consumptions of home appliances and the like used in Residence 2 vary depending on the usage method and external influences. Not limited to the above-mentioned lighting, television, air conditioner, and IH induction cooker, by presetting the operation modes of home appliances and the like that can be used in Residence 2 and correcting the power consumption values according to the information provided by the user, a power consumption mode can be set for each home appliance. Regarding an IH induction cooker or the like, the time period when the residents of Residence 2 generally have meals is collected as the above-mentioned home appliance information.

[0035] Figure 5 is a diagram illustrating in detail the generation of a charging plan by the charging power determination unit 112. In Figure 5 , the dashed line indicating the power consumption upper limit and the solid line indicating the power consumption prediction of Residence 2 are the same as in Figure 4The dashed line indicating the upper limit of power consumption and the solid line indicating the power consumption prediction of Residence 2 shown are the same. The charging power determination unit 112 plans the power that the in-vehicle charger 12 can use to charge the battery 11 based on the power consumption prediction of Residence 2 estimated by the power consumption estimation unit 111 and the upper limit of power consumption of Residence 2 acquired by the information acquisition unit 130.

[0036] In Figure 5 it, the thick solid line represents the charging plan of the in-vehicle charger 12 for the battery 11, and the thick dashed line represents the total power consumption obtained by adding the power consumption prediction Whome of Residence 2 and the power Wchg of the charging plan of the battery 11. Here, for the total power consumption, a reserve power Wres is set. The reserve power Wres can set a value such as 5% or 10% of the capacity of the ampere breaker 23 of Residence 2 as a specified value, or can be set to 0.

[0037] Then, as expressed by the following formula (1), the power Wchg of the charging plan is set so that at each moment, the sum of the power consumption prediction Whome of Residence 2, the power Wchg of the charging plan, and the reserve power Wres is lower than the upper limit of power consumption Wlim. Wlim(t)≧Whome(t)+Wres(t)+Wchg(t)···(1)

[0038] In formula (1), t represents an arbitrary moment in the plan. By planning the charging power from the moment t1 when the charging plan is generated to the moment t2 to satisfy the above formula (1), during the charging process of the battery 11, the occurrence of a power outage caused by the operation of the ampere breaker 23 due to the power consumption of Residence 2 exceeding the contract power (upper limit of power consumption) is suppressed.

[0039] In addition, the power Wchg is the power available to the in-vehicle charger 12, but is not necessarily only used for charging the battery 11. For example, in order to set the air conditioner inside the vehicle compartment to an appropriate temperature before getting into the electric vehicle 1, a usage method of driving the air conditioner of the electric vehicle 1 while receiving power supply from Residence 2 through the charging cable 27 can be envisioned. Even in this case, a power outage of Residence 2 should be avoided. Therefore, the power Wchg of the charging plan can include not only the power for battery charging but also the power for the air conditioner of the electric vehicle 1.

[0040] As described above, a value such as 5% or 10% of the capacity of the ampere breaker 23 of the house 2 is set as the specified value for the reserve power Wres. However, the reserve power Wres can be set according to the meteorological conditions around the house detected by the external recognition unit 120. For example, when the possibility of rainfall is predicted by the rain sensor which is the external recognition unit 120, the operation of correcting the reserve power Wres in the increasing direction is performed. Thereby, it is possible to avoid the situation where the power consumption of the house 2 increases due to using devices such as a washing dryer or a clothes dryer whose usage possibility becomes high in the case of rain, and the ampere breaker 23 operates to cause a power outage.

[0041] On the other hand, when the reserve power Wres is set to a relatively large value, for example, a value exceeding 30% of the capacity of the ampere breaker 23, the power available for the in-vehicle charger 12 decreases, and the charging time of the battery 11 may become too long. Therefore, it is not desirable to set the reserve power Wres to an overly large value.

[0042] The above has described that the power consumption upper limit Wlim is the capacity at which the ampere breaker 23 operates, but the present invention is not limited thereto. For example, the user can use a preset power consumption upper limit to save electricity costs. In addition, when the power wholesaler providing the power to the power system 21 implements demand response in response to a request for controlling power usage for stabilizing the regional power supply, a target power value is set. In this case, the target power value can be set as the power consumption upper limit Wlim. The target power value is obtained by receiving information distribution etc. from the power wholesaler providing the power to the power system 21.

[0043] In addition to the above method, a charging plan can also be generated by the following method. First, it is premised on having obtained the power consumption prediction of the house 2 obtained by the power consumption estimation unit 111 and the upper limit value (power consumption upper limit) of the power at which the ampere breaker 23 operates. On this premise, as a problem of maximizing the power margin (="power consumption upper limit"-{"power consumption prediction of the house 2"+"charging power of the battery 11"}) and the amount of charging power, it is formulated as the following formula (2) and optimized as a linear programming problem, so that a charging plan that can avoid power outages while suppressing the charging time can be obtained. In formula (2), the first term on the right side is the power margin, the second term is the amount of charging power, k is the time, T is the length of the period after the time t when the plan is generated. α and β represent weight coefficients, which are parameters for adjusting whether to focus on the size of the margin or the amount of charging power. P in the first term Limit is the upper limit power, and the w with a tilde (~) is the power prediction of the house 2. b in the second term j v is the charging power of the battery 11. N is the number of vehicles corresponding to the electric vehicle 1 that is charged in the house 2, and j is the number corresponding to each vehicle. [Mathematical formula 1]

[0044] Figure 6 is a diagram showing an example of a charging plan in the case of a charging contract where the electricity cost of the residence 2 varies according to time periods. Similar to the case in Figure 5 , in Figure 6 , the thin dashed line represents the upper limit of power consumption, the thin solid line represents the power consumption prediction of the residence 2, the thick solid line represents the charging plan of the battery 11, and the thick dashed line represents the total power consumption obtained by adding the power of the power consumption prediction and the charging plan of the residence 2. During the time period indicated by the arrow, the late-night electricity price with a lower electricity cost is applied.

[0045] As Figure 6 shown, when the electricity cost of the residence 2 varies according to time periods, the charging power determination unit 112 can generate a plan that makes the electricity cost for charging cheaper. For example, the above information on electricity cost can be input by the user through the information acquisition unit 130, or can be provided by methods such as the electricity wholesaler distributing it to the information acquisition unit 130 in sequence. The charging power determination unit 112 generates a charging plan such that the amount of charging power during the late-night electricity price period becomes larger. In Figure 6 , a charging plan is generated such that the area of the region surrounded by the horizontal axis and the thick solid line indicating the charging plan becomes larger.

[0046] Figure 7 is a flowchart showing a series of operations in the above vehicle-mounted charging system 10 and is executed in the integrated controller 110. In addition, Figure 7 the processing of the flowchart shown, for example, starts when the user sets the shift lever of the electric vehicle 1 to the parking gear or turns off the ignition switch. Or, it can be started by the user's start instruction operation.

[0047] In step S201, the integrated controller 110 determines whether the contract power or home appliance product information required to estimate the power consumption of the residence 2 has been acquired by the information acquisition unit 130. If it is determined in step S201 that the information has not been acquired (No), it proceeds to step S202. After executing the subroutine for information acquisition, it proceeds to step S203. The detailed processing of step S202 will be described later. On the other hand, if it is determined in step S201 that the information has been acquired (Yes), it proceeds to step S203. In addition, in the case of a power outage during a previous charge, considering the possibility that new home appliances are added to the residence 2, the user can be asked in step S201 whether the home appliance information has not been updated.

[0048] In step S203, the integrated controller 110 reads the home appliance product information that has been acquired or acquired in step S202. In step S204, the integrated controller 110 reads the external information detected by the external recognition unit 120. In step S205, the power consumption estimation unit 111 of the integrated controller 110 estimates the power consumption prediction of the house 2 based on the read home appliance product information and external information. In step S206, the charging power determination unit 112 of the integrated controller 110 generates a charging plan for the battery 11 based on the power consumption prediction of the house 2 obtained in step S205 and the power consumption upper limit of the house 2.

[0049] In addition, the power consumption prediction and the charging plan can be displayed on the display device of the human-machine interface. The user can confirm the charging information on the driver's seat before leaving the electric vehicle 1.

[0050] In step S207, the integrated controller 110 confirms the connection state of the charging cable 27 based on the information from the control box included in the charging cable 27, and determines whether the battery 11 can be charged. When the charging cable 27 is not connected, it returns to step S204. When charging is possible, it proceeds to step S208 and performs a self-check of the charging system related to charging. For example, the temperature, voltage, etc. of the battery 11 are acquired to confirm whether the battery 11 is in a state where it can be charged. In step S209, it is determined whether the self-check is qualified (whether charging is possible). When it is determined to be qualified in step S209, it proceeds to step S210 and charges the battery 11 according to the charging plan generated in step S206. On the other hand, when it is determined to be unqualified in step S209, it proceeds to step S211 and performs an error reporting process such as notifying an error.

[0051] In addition, when the battery 11 is being charged by the in-vehicle charger 12, when the detection value of the acceleration sensor, which is one of the external recognition units 120, is above a specified acceleration, the charging is aborted. When the acceleration sensor detects a periodic acceleration above a specified value, it is considered that an earthquake may have occurred. In addition, when the acceleration regardless of the period is above the specified value, it is considered that something may have collided with the electric vehicle 1. When such an acceleration is detected during the battery charging process, the charging is automatically stopped, thereby preventing the occurrence of secondary disasters such as fires.

[0052] In addition, the user can change the earthquake intensity reference. For example, it is set to temporarily stop when the earthquake intensity is equivalent to level 5 or less. When no acceleration is detected after automatically stopping the charging and it is detected that power is supplied through the charging cable 27, the charging is restarted.

[0053] Figure 8 It shows Figure 7Flowchart of the detailed processing of the information acquisition processing in step S202 shown. In addition, the home appliance product in the home appliance product information can be a home appliance product that consumes electricity in the house 2 and the consumed electricity is measured by the electricity meter 22, and is not limited to the so-called general home appliance products.

[0054] In step S301, the contract capacity with the power company, which is the upper limit value of the power capacity of the house 2, is acquired by the information acquisition unit 130. In step S302, information such as the floor plan and structure of the house 2, information on whether it is a single-family house or an apartment, and information on the hot water supply and heating equipment is acquired. In step S303, information on the home appliance products in the house 2 is acquired. In step S304, the integrated controller 110 confirms the content of the information acquired by the information acquisition unit 130. Then, if there is information that needs to be corrected (in the case of "no"), it proceeds to step S305 to re-acquire the correct information.

[0055] As described above, in Embodiment 1, the power consumption of the house 2 is estimated based on the information acquired by the external recognition unit 120 and the information acquisition unit 130 mounted on the electric vehicle 1, and the charging plan of the battery 11 is determined based on this power consumption estimated value (power consumption prediction). Therefore, there is no need to provide a device for estimating power consumption or generating a charging plan on the house 2 side, and the power consumption of the house 2 can be estimated and the charging plan can be generated by the electric vehicle 1 alone. As a result, optimal charging can be performed while avoiding the risk of the circuit breaker of the house 2 tripping.

[0056] (Embodiment 2) Figure 9 It is a block diagram for explaining Embodiment 2 of the present invention, and shows the device structures of the electric vehicle 1 and the house 2 in the same way as Figure 1 the case of. Relative to the Figure 1 structure shown, Figure 9 the in-vehicle charging system 10 shown further includes an information prompting unit 140 and a plan correction unit 150.

[0057] <Information prompting unit 140> The information prompting unit 140 prompts the user with Figure 4 the power consumption prediction of the house 2 shown, Figure 5 the charging plan of the battery 11 shown, etc. In addition, it displays the power outage risk status when charging is performed according to the charging plan, thereby reminding the user to pay attention. For example, the Figure 5 time t2 in is notified as the scheduled time for the charging of the battery 11 to be completed. In addition, as Figure 5 shown, it indicates that there is a high risk that the ampere circuit breaker 23 of the house 2 will operate within the time period from 12:00 to 18:00.

[0058] The user can correct the value of the reserve power Wres to a smaller value through the plan correction unit 150, or correct the power consumption prediction of the home appliance product by avoiding using cooking appliances such as IH induction cookers during the above time period. Through such correction, the charging upper limit power when charging the battery 11 can be corrected in the increasing direction. As a result, a plan for further shortening the charging time of the battery 11 can be generated, and the battery 11 can be charged while preventing a power outage in the house 2. As described above, the power consumption prediction and the charging plan are prompted to the user by the information prompt unit 140, so that the user can be guided to shorten the charging time while avoiding a power outage.

[0059] In addition, the plan correction unit 150 can be configured in the form of a human-machine interface including its functions in the same way as the information prompt unit 140 and the like, or can be configured on the server in the same way as in the case of the above information acquisition unit 130.

[0060] Figure 10 It is a flowchart for explaining the operation of the in-vehicle charging system 10 according to Embodiment 2. Figure 10 The flowchart shown is Figure 7 In the flowchart shown, step S220 is added, and it is changed to a flowchart that advances to step S220 when it is determined in step S207 that there is no cable connection. Regarding other steps, they are the same as the processing described in Figure 7 The charging plan correction process of the added step S220 will be described below.

[0061] Figure 11 It is a flowchart showing an example of the details of the charging plan correction process shown in step S220. A series of charging plan correction processes are executed by the plan correction unit 150. In step S401, the information prompt unit 140 is made to display the power consumption prediction and the charging plan.

[0062] Figure 12 、 Figure 13 It shows a display example of the power consumption prediction (A) of the house 2 and the charging power (B) based on the charging plan in the information prompt unit 140. The widths of regions A and B in the vertical direction in the figure represent the charging power Wchg and the power consumption Whome of the house 2, respectively. The power outage risk information is displayed above the charging power (B). In addition, above the power outage risk information, suggestions related to the charging plan are displayed as correction suggestion information.

[0063] Figure 12shows a case where the automatic adjustment of the charging power is stopped, and the charging power Wchg is set to a constant value from the start time t1 to the end time t2. Therefore, in the time periods from 10:00 to 11:00 and from 11:30 to 12:30, an overlapping area C of area A and area B is generated. The power outage risk is represented by color display, green for the safe level, yellow for the caution level, and red indicating a high level of power outage risk. In Figure 12 case, the power outage risk for the time period from 10:00 to 13:00 is shown in red.

[0064] Figure 13 shows a case where charging of the battery 11 is stopped during a time period with a high power outage risk. In Figure 12 , the start time t1 of charging is 10:00, and in Figure 13 , the start time t1 is set to 13:00. Therefore, although the overlap between area A and area B is eliminated, the amount of charging power (remaining charge amount) of the battery 11 at the end time t2 is lower than that in Figure 12 case.

[0065] The user refers to the power consumption prediction, charging plan, power outage risk information, and correction suggestion information displayed on the information prompt unit 140 to consider whether the charging plan should be re-evaluated. Then, the user inputs instructions for correction and non-correction by operating the input unit of the information acquisition unit 130. For example, the user requests correction of the charging plan according to the desire to advance the charging completion time or the desire to reduce power consumption, etc.

[0066] Return to Figure 11 , in step S402, it is determined whether there is a correction request from the user. If there is a correction request, proceed to step S403; if there is no correction request, proceed to step S407. When proceeding to step S407 without a correction request, the charging plan is determined.

[0067] On the other hand, when there is a correction request and proceeding to step S403, the correction content is obtained from the user. Specifically, a correction screen is displayed on the information prompt unit 140, and the user is made to input the correction content. The user corrects the charging completion time, standby power Wres, power consumption of household appliances, the charging upper limit power when charging the battery 11, etc. In addition, in the case where it is considered that it is difficult for the user to accurately grasp the power consumption of household appliances one by one, the power consumption prediction of the residence 2 can be corrected by selecting whether to use the household appliances included in the power consumption prediction.

[0068] In step S404, the plan correction unit 150 generates a corrected charging plan based on the correction content in step S403. Additionally, the corrected charging plan can be generated by the plan correction unit 150, or the correction content in step S403 can be sent to the integrated controller 110 to cause the charging power determination unit 112 to generate a corrected charging plan.

[0069] In step S405, the plan correction unit 150 confirms whether there are any problems with the content of the corrected charging plan generated in step S404. Specifically, it determines whether there is a time when the power consumption limit Wlim(t), the power consumption of House 2 Whome(t), the power Wchg(t) used by the on-vehicle charger 12, and the remaining power Wres(t) in the plan satisfy the relationship of the following formula (3). Wlim(t) < Whome(t) + Wchg(t) + Wres(t) · · · (3)

[0070] When it is determined in step S405 that there is a problem, the process returns to step S403, and a correction screen prompting for correction is displayed on the information prompting unit 140. The processing from step S403 to step S405 is repeated until a plan without problems is generated. Additionally, each time a correction is input in step S403, the corrected charging plan and the power consumption prediction are displayed on the information prompting unit 140. Thus, the user can interactively correct the charging plan, and it is easier for the user to grasp the power consumption prediction and the charging plan.

[0071] On the other hand, when it is determined in step S405 that there are no problems with the charging plan, the process proceeds to step S406, where the corrected charging plan is displayed on the information prompting unit 140, and suggestions for the corrected charging plan are provided to the user. As suggestions, for example, there is information for further reducing the possibility of power outages. Specifically, the home appliances that should be controlled for use are displayed during the time period when the power consumption of House 2 increases. In the case of a corrected charging plan with a reduced upper limit value of the charging power, it is notified that the charging completion time is postponed, and the charging state prediction of the battery 11 at the start time of using the electric vehicle 1 the next day is notified.

[0072] If the processing in step S406 is completed, the process proceeds to step S407 to determine the charging plan.

[0073] In the above-described Embodiment 2, since the information presentation unit 140 presents the power consumption prediction, charging plan, power outage risk information, etc. of the house 2, the user can grasp the content of the charging plan and the like. As a result, the user can grasp the risk of power outage, factors such as the charging output not reaching the rated capacity, etc., and the user can consider re-evaluating the charging plan and the like. In addition, since there is a plan correction unit 150 for correcting the charging plan, the user can adjust the charging power so as to further shorten the charging time while avoiding a power outage. At this time, by presenting charging information including the corrected charging plan in the information presentation unit 140, the charging power can be adjusted efficiently and effectively.

[0074] (Embodiment 3) Figure 14 is a block diagram for explaining Embodiment 3 of the present invention. In Figure 14 the structure shown, in addition to the Figure 1 structure shown in Embodiment 1, the house 2 includes an energy management system 32, and the in-vehicle charging system 10 includes a telematics unit 160. The energy management system 32 includes a solar panel 33, a power conditioner 34, a smart meter 35, IoT (Internet of Things) appliances 36, and a HEMS controller 37.

[0075] The power conditioner 34 realizes the function of using the power generated by the solar panel 33 in the house 2 or selling the power to the power system 21. The smart meter 35 measures the power flowing in and out of the power system 21. The IoT appliances 36 can adjust the power consumption and control the power-on, etc. through the smart meter 35 and the energy management system 32. The HEMS controller 37 aggregates the power transaction records of the smart meter 35 and the operation records of the IoT appliances 36, and controls the power conditioner 34 and the IoT appliances 36.

[0076] In addition, the HEMS controller 37 is configured to be able to communicate with the aggregation server 39 via the Internet 38. The aggregation server 39 stores the power consumption records and power transaction information of the house 2 obtained through the HEMS controller 37, and performs statistical processing. The user can confirm this information of the aggregation server 39 from an arbitrary terminal (not shown). The in-vehicle charging system 10 refers to the power consumption records of the house 2 through the telematics unit 160 and the Internet 38, and sends the detection results of the external recognition unit 120 to the aggregation server 39. The aggregation server 39 associates the detection results (temperature, illuminance, humidity, etc.) of the external recognition unit 120 with the power consumption records of the house 2, and stores them as power consumption record information. The in-vehicle charging system 10 can obtain the power consumption record information from the aggregation server 39 by using the telematics unit 160 provided in the in-vehicle charging system 10.

[0077] When estimating the power consumption of the house 2, power consumption record information under conditions similar to the temperature, illuminance, and humidity detected by the external recognition unit 120 is read from the aggregation server 39. Then, the power consumption prediction of the house 2 is generated using the operation modes of the household appliances included in the read power consumption record information. Thus, by reflecting the past power consumption record of the house 2 in the power consumption estimation, the estimation accuracy of the power consumption estimation can be improved. As a result, the planning mechanism of the charging plan is also improved, and power outages in the house 2 during battery charging can be suppressed. In addition, since the estimation accuracy of the power consumption estimation becomes higher, the remaining power Wres in the charging plan can be further reduced, and the charging time can be suppressed from being too long.

[0078] In addition, when the power consumption on the house 2 side becomes greater than the estimation by the power consumption estimation unit 111 during charging according to the charging plan, a power outage can be suppressed by issuing an instruction to the charger controller 13 to reduce the output of the in-vehicle charger 12. In the case where the weather changes after the start of charging and heating stops contrary to expectations, the actual power consumption becomes less than the power consumption estimated value, so the charging time can be shortened by increasing the output of the in-vehicle charger 12.

[0079] (Modification Example 1) Figure 15 is a flowchart showing Modification Example 1. In Modification Example 1, the external recognition unit 120 includes a GPS device and acquires the position information of the electric vehicle 1. The integrated controller 110, based on the detected position information, before starting the Figure 7 processing shown, executes the Figure 15 processing shown. For example, when the user sets the shift lever of the electric vehicle 1 to the parking gear or turns off the ignition switch, or when the user executes a start instruction operation after the vehicle stops, the Figure 15 processing shown is started.

[0080] In step S501, the integrated controller 110 acquires the position information of the electric vehicle 1 from the GPS of the external recognition unit 120. In step S502, based on the acquired position information, it is determined whether to charge the battery 11 in the house 2. For example, when the acquired position information is within a specified range including the house 2, it is determined that charging is performed in the house 2, and when the acquired position information is outside the specified range, it is determined that charging is not performed in the house 2.

[0081] In step S502, when it is determined that charging is performed in the house 2, the process proceeds to step S503, and the above Figure 7The process shown, i.e., charging the battery 11 along with the generation of a charging plan. On the other hand, when it is determined in step S502 that charging is not implemented in the residence 2 and the process advances to step S504, charging is performed with the smaller power of the power specified by the control box included in the charging cable 27 or the power specified according to the temperature of the battery 11. Additionally, in the case of advancing to step S504, the power consumption estimation of the residence 2 performed by the power consumption estimation unit 111 and the generation of the charging plan performed by the charging power determination unit 112 are not carried out.

[0082] In addition, the charging plan determined by the charging power determination unit 112 is planned based on the power consumption prediction of the place (residence 2) where the user usually charges, so it is an inappropriate charging plan for charging places other than the residence 2. However, as described above, by using the position information acquired by the external recognition unit 120, it is possible to determine whether charging starts at the place (such as the home) where the user usually charges. Then, since the processes like step S503 or step S504 are performed according to the position of the electric vehicle 1, an appropriate charging operation can be performed according to the position of the electric vehicle 1.

[0083] Furthermore, when the position information is not the position of the residence 2, the process advances from step S502 to step S504, so that a charging plan is not created based on the power consumption estimation value of the residence 2. Therefore, when charging is performed using a place (charger or power) different from the residence 2, it is possible to prevent charging according to an inappropriate charging plan (the charging plan in the case of charging in the residence 2).

[0084] In addition, in the above description, when the user sets the shift lever of the electric vehicle 1 to the parking gear or turns off the ignition switch, or through the user's start instruction operation after the vehicle stops, the Figure 15 shown process starts. However, the following process can also be performed. First, if the electric vehicle 1 approaches the home residence 2 and the position information acquired by the GPS device is within the specified range, the Figure 7 process starts. Then, when the user sets the shift lever of the electric vehicle 1 to the parking gear or turns off the ignition switch, or through the user's start instruction operation after the vehicle stops, the Figure 15 shown process starts. In this case, in the Figure 15 step S503, the charging process with the prompt of the charging plan and the like is executed. Thus, when the electric vehicle 1 arrives at the residence 2, the charging plan can be immediately prompted and the charging setting can be completed. Of course, the prompt of the charging plan can also be performed before arriving at the residence, and the user can know the charging plan after arrival in advance.

[0085] In addition, although the application of Modification 1 to Embodiment 1 is described in the above description, Modification 1 can also be similarly applied to Embodiment 2 and Embodiment 3.

[0086] (Modification Example 2) Figure 16 FIG. is for explaining Modification Example 2 and is a functional block diagram of the integrated controller 110. Figure 16 The integrated controller 110 shown in addition to Figure 2 the power consumption estimation unit 111 and the charging power determination unit 112 shown in also includes a charging possibility determination unit 113 and a charging method determination unit 114. The operations of the power consumption estimation unit 111 and the charging power determination unit 112 are the same as those in Figure 2 the case of.

[0087] The charging possibility determination unit 113 obtains the charging state of the battery 11 during charging from the battery sensor 14 and stores the charging state of the battery 11 at the start of the previous charging, or the charging state of the battery 11 at the start of multiple past chargings up to the previous time.

[0088] The charging possibility determination unit 113 makes the following determination on the charging state of the battery 11. When the current charging state of the battery 11 is lower than the charging state of the battery during past charging stored in the charging possibility determination unit 113, or lower than the charging state obtained by adding 5% to 10% of the power amount when fully charged to the charging state of the battery during past charging, it is determined that the possibility of charging is high. In addition, when making the above determination during the running of the electric vehicle 1, the "predicted value of the charging state of the battery 11 at the time when the electric vehicle 1 arrives at the house 2" is used instead of the "current charging state of the battery 11".

[0089] When it is determined by the charging possibility determination unit 113 that the possibility of charging is high and it is expected that the period with a large power consumption of the house 2 estimated by the power consumption estimation unit 111 will continue for a long time, the charging method determination unit 114 prompts the user to charge at a place other than the house 2, for example, through the information prompting unit 140 or the like. Here, the state where the period with a large power consumption of the house 2 continues for a long time means that when charging the battery 11 according to the charging plan (output) of the in-vehicle charger 12 determined by the charging power determination unit 112, compared with the case of charging with the rated value of the in-vehicle charger 12, it takes more than twice the charging time.

[0090] Well, the above value of "more than twice" can be changed according to the user's preference. For users who do not want the charging time to become longer, the charging time can be more than 1.5 times, and for users who want to charge at the house 2, the charging time can be more than 4 times. Thus, the value of twice of "more than twice" is adjustable and is preferably adjustable between 1 and 5 times.

[0091] As described above, in Modification 2, when the power consumption in the house 2 is large, information prompting charging at a charging location outside the house is presented to the user to avoid charging in the house 2. Thereby, it is possible to prevent a power outage in the house 2 or an excessively long charging time of the battery 11.

[0092] (Modification 3) In Modification 3, when the power consumption estimation unit 111 generates a power consumption prediction for the house 2, the set conditions of the vehicle air conditioner mounted in the electric vehicle 1 are also used. The temperature setting of the vehicle air conditioner when the user is in the electric vehicle 1 depends on the outside temperature at that time, but is also affected by the user's own perception of cold and heat.

[0093] For example, when the user is a person sensitive to cold, the temperature setting tends to be higher than that of a person not sensitive to cold. Therefore, when the user returns to the house 2, the temperature setting of the air conditioner in the house 2 is also likely to be set higher. Thus, in the power consumption estimation unit 111, the temperature setting of the air conditioner in the house 2 is estimated based on the temperature setting of the vehicle air conditioner, and a power consumption prediction for the house 2 is generated.

[0094] As an application method, for example, taking the set temperature of the vehicle air conditioner of the electric vehicle 1 as a reference, when the temperature setting of the vehicle air conditioner exceeds the range of 23°C to 28°C, the power consumption of the air conditioner is corrected when estimating the power consumption of the house 2. When the temperature setting is less than 23°C, the power consumption during the cooling operation of the air conditioner is increased by 10%, and when the temperature setting exceeds 28°C, the power consumption during the heating operation of the air conditioner is increased by 10% to calculate the power consumption prediction of the house 2. In addition, as described above, when the correction amount exceeds the specified range, a method of increasing the specified amount can be adopted, or the power amount corresponding to the error from the reference temperature can be increased or decreased.

[0095] As described above, in Modification 3, since the preferences and characteristics of the user driving the electric vehicle 1 are reflected in the power consumption estimation of the house 2, the estimation accuracy of the power consumption estimation value can be improved. In addition, by improving the estimation accuracy of the power consumption estimation value, the remaining power Wres in the charging plan can be set more strictly, and an excessively long charging time can be suppressed.

[0096] According to the embodiments and modifications of the present invention described above, the following operational effects are achieved.

[0097] (C1) As Figure 1 and Figure 2As shown in the figure, a vehicle-mounted charging system 10 charges a battery 11 mounted in an electric vehicle 1 with power supplied from a residence 2, and includes: an external recognition unit 120 mounted in the electric vehicle 1 as a vehicle-mounted sensor for detecting external information of the electric vehicle 1; an information acquisition unit 130 for acquiring device information (information related to an electrical load 25) of electrical devices provided in the residence 2; a power consumption estimation unit 111 for calculating an estimated value of power consumption (power consumption prediction) when the battery of the electrical devices provided in the residence 2 is charged based on the external information and the device information; and a charging power determination unit 112 for determining a charging plan for the battery 11 based on the estimated value of power consumption. Further, the charging power determination unit 112 determines a charging plan such that the sum of the charging power of the battery 11 and the estimated value of power consumption is lower than the upper limit value of the power that can be consumed in the residence 2 (the power value for the operation of an ampere breaker 23).

[0098] Accordingly, since the estimation of the power consumption of the residence 2 and the generation of the charging plan for the battery 11 are performed based on the information acquired by the external recognition unit 120 and the information acquisition unit 130 provided in the vehicle-mounted charging system 10, when charging is performed in the residence 2, the electric vehicle 1 can independently create a charging plan.

[0099] (C2) As shown in the figure Figure 1 In the above (C1), the vehicle-mounted charging system 10 further includes an information presentation unit 140 that presents charging information including the charging plan and the estimated value of power consumption. Since the information presentation unit 140 presents the estimated value of power consumption and the charging plan to the user, the user can grasp the estimated value of power consumption and the charging plan. Further, since the charging information is presented, it is possible to confirm that charging is performed while avoiding the risk of tripping of the ampere breaker 23 in the residence 2, and thus the psychological burden of the user regarding the risk of power outage can be reduced.

[0100] (C3) In the above (C2), as shown in the figure Figure 9 、 Figure 12 、 Figure 13 In addition to determining the charging plan, the charging power determination unit 112 generates power shortage risk information (power outage risk information) in the residence 2 based on the charging plan. The charging information further includes the power shortage risk information. As shown in the figure Figure 12 、 Figure 13 In addition to the charging plan (charging power) and the estimated value of power consumption (power consumption prediction), the information presentation unit 140 also presents the power outage risk information to the user, so that the user can grasp the power outage risk, the reason why the charging output does not reach the rated capacity, and the like. As a result, it is easier to adjust the charging power while avoiding a power outage.

[0101] (C4) In the above (C2), as shown in the figure Figure 9As shown, the in-vehicle charging system 10 further includes a plan correction unit 150 for correcting the charging plan determined by the charging power determination unit 112. When corrected by the plan correction unit 150, the information prompt unit 140 prompts charging information including the corrected charging plan corrected by the plan correction unit 150 to replace the charging plan and the power consumption estimated value.

[0102] Since it is equipped with a plan correction unit 150 for correcting the charging plan, the user can adjust the charging power so as to further shorten the charging time while avoiding power outages. In addition, by prompting the information prompt unit 140 with charging information including the corrected charging plan, the charging power can be adjusted efficiently and effectively.

[0103] (C5) In the above (C4), as Figure 12 、 Figure 13 etc. show, the charging information prompted by the information prompt unit 140 further includes correction suggestion information for the charging plan or the corrected charging plan. Thus, by prompting the correction suggestion information, the user can easily adjust the charging power etc. by referring to the correction suggestion information.

[0104] (C6) In the above (C1), as Figure 14 etc. show, the in-vehicle charging system 10 further includes a record information acquisition unit (telematics unit 160) that acquires information on the usage records of electrical equipment in the house 2, and the power consumption estimation unit 111 calculates the power consumption estimated value based on the external information, device information, and the information acquired by the record information acquisition unit (telematics unit 160).

[0105] As described above, by acquiring information on the usage records of electrical equipment in the house 2 by the telematics unit 160, the power consumption estimated value can be corrected with reference to the usage records. As a result, the estimation accuracy of the power consumption estimation can be improved, the accuracy of the charging plan can be improved, and power outages in the house 2 during battery charging can be suppressed. In addition, since the estimation accuracy of the power consumption estimated value becomes higher, the upper limit of the charging power can be increased by reducing the remaining power Wres in the charging plan, thereby suppressing the charging time from becoming too long.

[0106] (C7) In the above (C1), as Figure 1 etc. show, the power consumption estimation unit 111 can calculate the power consumption estimated value based on the external information, device information related to the power of the electrical equipment (home appliances) provided in the house 2, and the setting information (for example, temperature setting) of the vehicle air conditioning device mounted in the electric vehicle 1. That is, by assuming that the air conditioning device in the house 2 is used in the same way as the vehicle air conditioning device, the estimation accuracy of the power consumption estimated value can be improved. In addition, by improving the estimation accuracy of the power consumption estimated value, the remaining power Wres in the charging plan can be set more strictly, and the charging time from becoming too long can be suppressed.

[0107] (C8) In the above (C1), as Figure 1 etc., the external recognition unit 120 includes an acceleration sensor. When the acceleration detected by the acceleration sensor is equal to or greater than a specified value, the charging of the battery 11 is stopped. As described above, when the acceleration equal to or greater than the specified value is detected by the acceleration sensor, it can be considered that there is a possibility of an earthquake occurring or something colliding with the electric vehicle 1. When the acceleration detected during the battery charging process is equal to or greater than the specified value, the charging is automatically stopped, thereby preventing the occurrence of secondary disasters such as fires.

[0108] (C9) In the above (C1), as Figure 15 etc., the external recognition unit 120 includes a position information sensor (for example, a GPS device) that acquires the position information of the electric vehicle 1. When the external recognition unit 120 detects that the parking position of the electric vehicle 1 is within a specified range including the residence 2, the calculation of the power consumption estimation value by the power consumption estimation unit 111 and the determination of the charging plan by the charging power determination unit 112 are executed.

[0109] The charging plan determined by the charging power determination unit 112 is planned based on the power consumption prediction of the place (residence 2) where the user usually charges, so it is an inappropriate charging plan for charging places other than the residence 2. However, as described above, when the parking position of the electric vehicle 1 is within the specified range including the residence 2, the calculation of the power consumption estimation value and the determination of the charging plan are executed. Therefore, when charging is performed using a place (charger or power) different from the residence 2, charging according to an inappropriate charging plan (the charging plan when charging in the residence 2) can be prevented.

[0110] (C9) In the above (C2), as Figure 15 etc., the external recognition unit 120 includes a position information sensor that acquires the position information of the electric vehicle 1. When the external recognition unit 120 detects that the position of the electric vehicle 1 is within a specified range including the residence 2, the calculation of the power consumption estimation value by the power consumption estimation unit 111 and the determination of the charging plan by the charging power determination unit 112 are executed. Then, when the electric vehicle 1 arrives at the residence 2 or before arriving at the residence 2, the information prompting unit 140 prompts charging information including the charging plan and the power consumption estimation value.

[0111] Thus, when the electric vehicle 1 arrives at the residence 2 or before arriving at the residence 2, the charging plan and the power consumption estimation value are prompted. Therefore, that is, the charging setting can be completed when the electric vehicle 1 arrives at the residence 2. In the case of prompting before arrival, the user can know in advance the charging plan after arrival.

[0112] (C11) In the above (C2), as Figure 16As shown in etc., the in-vehicle charging system 10 further includes a charging possibility determination unit 113 that determines the possibility of performing charging in the house 2 based on the remaining charge of the battery 11. When the charging possibility determination unit 113 determines that the possibility of performing charging in the house 2 is high and the power consumption estimation value calculated by the power consumption estimation unit 111 is equal to or greater than a specified value, the information prompt unit 140 prompts information for recommending charging outside the house 2.

[0113] As described above, when the power consumption estimation value of the house 2 is equal to or greater than a specified value, by prompting the user with recommended information urging charging at a charging location outside the house, charging in the house 2 is avoided. Thereby, power outages in the house 2 can be prevented or the charging time of the battery 11 can be prevented from becoming too long. In addition, before the electric vehicle 1 arrives at the house 2, for example, when the position of the electric vehicle 1 is within a specified range including the house 2 according to the position information of the GPS device, recommended information can be prompted to the information prompt unit 140. By prompting the recommended information in advance in this way, the user can more easily cope with alternative charging methods.

[0114] Each of the embodiments and various modifications described above is merely an example, and the present invention is not limited to these as long as the features of the present invention are not destroyed. In addition, although various embodiments and modifications have been described above, the present invention is not limited to these. Furthermore, the above embodiments and modifications can be combined. Other modes conceivable within the scope of the technical concept of the present invention are also included within the scope of the present invention. Reference Numeral Explanation

[0115] 1 Electric vehicle, 2 House, 10 In-vehicle charging system, 11 Battery, 12 In-vehicle charger, 14 Battery sensor, 21 Power system, 23 Ampere circuit breaker, 25 Electrical load, 27 Charging cable, 32 Energy management system, 110 Integrated controller, 111 Power consumption estimation unit, 112 Charging power determination unit, 113 Charging possibility determination unit, 114 Charging method determination unit, 120 External recognition unit, 130 Information acquisition unit, 140 Information prompt unit, 150 Plan correction unit, 160 Telematics unit.

Claims

1. A vehicle-mounted charging system that charges a battery mounted in an electric vehicle using electric power supplied from a residence, characterized in that, Comprising: An external recognition unit, which is mounted on the electric vehicle and detects external information of the electric vehicle; An information acquisition unit, which acquires device information of electrical equipment provided in the residence; A power consumption estimation unit, which calculates an estimated power consumption value of the electrical equipment provided in the residence during battery charging based on the external information and the device information; And A charging power determination unit, which determines a charging plan for the battery based on the estimated power consumption value, The charging power determination unit determines the charging plan such that the sum of the charging power of the battery and the estimated power consumption value is lower than the upper limit value of the power that can be consumed in the residence.

2. The in-vehicle charging system according to claim 1, characterized in that It further includes an information prompting unit, which prompts charging information including the charging plan and the estimated power consumption value.

3. The in-vehicle charging system according to claim 2, characterized in that In addition to determining the charging plan, the charging power determination unit generates power shortage risk information in the residence based on the charging plan, The charging information includes the power shortage risk information.

4. The in-vehicle charging system according to claim 2, characterized in that It further includes a plan correction unit, which is used to correct the charging plan determined by the charging power determination unit, When corrected by the plan correction unit, the information prompting unit prompts charging information including the corrected charging plan corrected by the plan correction unit instead of the charging plan and the estimated power consumption value.

5. The in-vehicle charging system according to claim 4, characterized in that The charging information prompted by the information prompting unit further includes correction suggestion information for the charging plan or the corrected charging plan.

6. The in-vehicle charging system according to claim 1, characterized in that It further includes a record information acquisition unit, which acquires information on the usage records of the electrical equipment in the residence, The power consumption estimation unit calculates the estimated power consumption value based on the external information, the device information, and the information acquired by the record information acquisition unit.

7. The in-vehicle charging system according to claim 1, characterized in that The power consumption estimation unit calculates the estimated power consumption value based on the external information, the device information, and the setting information of the air conditioning device mounted on the electric vehicle.

8. The in-vehicle charging system according to claim 1, characterized in that The external recognition unit includes an acceleration sensor, When the acceleration detected by the acceleration sensor is above a specified value, the charging of the battery is stopped.

9. The in-vehicle charging system according to claim 1, characterized in that The external recognition unit includes a position information sensor for acquiring the position information of the electric vehicle, When the parking position of the electric vehicle detected by the external recognition unit is within a specified range including the residence, the calculation of the estimated power consumption value performed by the power consumption estimation unit and the determination of the charging plan performed by the charging power determination unit are executed.

10. The in-vehicle charging system according to claim 2, wherein the external recognition unit includes a position information sensor for obtaining the position information of the electric vehicle, when the position of the electric vehicle is detected by the external recognition unit within a predetermined range including the residence, the calculation of the power consumption estimation value by the power consumption estimation unit and the determination of the charging plan by the charging power determination unit are executed, the information prompting unit prompts the charging information when the electric vehicle arrives at the residence or before the electric vehicle arrives at the residence.

11. The in-vehicle charging system according to claim 2, wherein it further includes a charging possibility determination unit that determines the possibility of charging in the residence based on the remaining charge of the battery, when the charging possibility determination unit determines that the possibility of charging in the residence is high and the power consumption estimation value calculated by the power consumption estimation unit is above a predetermined value, the information prompting unit prompts information for suggesting charging outside the residence.

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