Vehicle control systems and programs

Abstract

To provide a system for controlling a mobile body that can detect a failure occurrence probability but has high versatility.SOLUTION: A system 10 for controlling a vehicle 20 includes a data acquisition unit 51 and a failure occurrence probability calculation unit 53. The data acquisition unit 51 acquires data of multiple failure factors that cause a failure on on-board product. On the basis of the data of the multiple failure factor, the failure occurrence probability calculation unit 53 calculates a failure occurrence probability of the on-board product corresponding to the data.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present disclosure relates to a control system for a moving object and a program. [Background technology]

[0002] Conventionally, there is a failure prediction system described in Patent Document 1 below. This system includes a target vehicle that is to be predicted to break down or not, and a failure prediction server that can communicate with the target vehicle via a network. The failure prediction server predicts whether or not a failure will occur in the target vehicle in the near future, using data obtained in advance from the target vehicle before the failure occurs. Specifically, the failure prediction server performs a correlation calculation between the vehicle data received from the target vehicle and the vehicle data of the broken-down vehicle, and predicts that a failure will occur in the target vehicle based on a certain correlation between the vehicle data and the broken-down vehicle. This prediction result is notified to the customer of the target vehicle, so that the customer can be alerted before a failure occurs. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2004-268633 A Summary of the Invention [Problem to be solved by the invention]

[0004] In the failure prediction system described in Patent Document 1, if there is no vehicle data for a faulty vehicle, it is not possible to predict whether or not a failure will occur in the target vehicle. This is a factor that reduces the versatility of the system. It should be noted that this problem is not limited to vehicles, but is a common problem to any moving object for which it is desirable to have a failure detection function.

[0005] The present disclosure has been made in consideration of the above-mentioned circumstances, and has as its purpose to provide a control system and program for a moving object that is highly versatile while being capable of detecting the probability of a failure occurring. [Means for solving the problem]

[0006] A control system for a moving body that solves the above problems includes a data acquisition unit (51) and a failure occurrence probability calculation unit (53, 1421). The data acquisition unit acquires data on a plurality of failure factors that are factors that cause failures in components mounted on the moving body. The failure occurrence probability calculation unit calculates a failure occurrence probability of the corresponding components based on the data on the plurality of failure factors. The failure occurrence probability calculation unit calculates the failure occurrence probability of each of a plurality of components that constitute the on-board equipment, and calculates the failure occurrence probability of the on-board equipment based on the failure occurrence probability of each of the plurality of components and the availability of each of the plurality of components. Another mobile body control system that solves the above problem includes a data acquisition unit (51), a failure occurrence probability calculation unit (53, 1421), and a fee calculation unit (82). The data acquisition unit acquires data on a plurality of failure factors that are factors that cause failures in components mounted on the mobile body. The failure occurrence probability calculation unit calculates the failure occurrence probability of the corresponding components based on the data on the plurality of failure factors. The fee calculation unit calculates a discount rate or discount amount for the insurance premium based on the failure occurrence probability of the mounted components.

[0007] In addition, the program for solving the above problem is a computer (50) To , and obtains data on multiple failure factors that may cause failure of the equipment mounted on the vehicle (20). Let Based on the data on multiple failure factors, the probability of failure of the corresponding onboard components is calculated. and calculating a failure occurrence probability of each of a plurality of components constituting the on-board equipment, and calculating a failure occurrence probability of the on-board equipment based on the failure occurrence probability of each of the plurality of components and the availability of each of the plurality of components. . Another program for solving the above problem causes a computer (50) to acquire data on a plurality of failure factors that may cause failures in on-board equipment of a moving body (20), calculate a failure probability of the on-board equipment corresponding to the plurality of failure factor data based on the failure factor data, and calculate a discount rate or discount amount for insurance premiums based on the failure probability of the on-board equipment.

[0008] According to these configurations, the probability of a part failing can be calculated based on the data on the failure factors acquired by the data acquisition unit, so vehicle data of the broken-down vehicle is not required to calculate the probability of a part failing. Therefore, it is possible to realize a highly versatile mobile control system that is capable of detecting the probability of a failure.

[0009] The above means and the symbols in parentheses in the claims are examples showing the correspondence with specific means described in the embodiments described later. Effect of the Invention

[0010] The moving body control system and program disclosed herein are capable of detecting the probability of a failure occurring while being highly versatile. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 is a diagram illustrating a schematic configuration of a control system according to the first embodiment. [Diagram 2] FIG. 2 is a block diagram showing a schematic configuration of the vehicle according to the first embodiment. [Diagram 3] FIG. 3 is a block diagram showing a schematic configuration of the control system according to the first embodiment. [Figure 4] FIG. 4 is a diagram showing an outline of a schematic screen displayed on the touch panel of the first embodiment. [Diagram 5] FIG. 5 is a diagram showing an outline of a details screen displayed on the touch panel of the first embodiment. [Figure 6] FIG. 6 is a diagram showing an outline of a notification screen displayed on the touch panel of the first embodiment. [Figure 7] FIG. 7 is a flowchart showing the procedure of the process executed by the control device for the vehicle in the first embodiment. [Figure 8] FIG. 8 is a flowchart illustrating a procedure of a process executed by the arithmetic unit of the server device according to the first embodiment. [Figure 9] FIG. 9 is a diagram showing an outline of an insurance premium confirmation screen displayed on the touch panel of the first embodiment. [Figure 10] FIG. 10 is a flowchart showing a procedure of processing executed by the vehicle control device of the first modified example of the first embodiment. [Figure 11] 11(A) to (F) are timing charts showing the transitions of the confirmation button, vehicle state, strength of use of the on-board items, failure rate of the on-board items, insurance premium discount rate, and discounted insurance premium in a vehicle of the first modified example of the first embodiment. [Figure 12] FIG. 12 is a graph showing the relationship between the number of stresses and the market stress intensity used in the control system of the eighth modified example of the first embodiment. [Figure 13]FIG. 13 is a graph showing the relationship between the reciprocal of the product temperature in the market and the usage time used in the control system of the eighth modified example of the first embodiment. [Figure 14] FIG. 14 is a diagram illustrating a schematic configuration of a control system according to the second embodiment. [Figure 15] FIG. 15 is a block diagram showing a schematic configuration of a control system according to the second embodiment. [Figure 16] 16(A) and (B) are diagrams each showing a schematic configuration of a motor and a battery according to the third embodiment. [Figure 17] FIG. 17 is a chart showing the relationship between the items, acquisition methods, and usage methods used to set insurance rates. [Figure 18] FIG. 18 is a chart showing the relationship between the items, acquisition methods, and usage methods used to set insurance rates. [Figure 19] FIG. 19 is a chart showing the relationship between the items, acquisition methods, and usage methods used to set insurance rates. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, an embodiment of a control system for a moving object will be described with reference to the drawings. In order to facilitate understanding of the description, the same components in each drawing are denoted by the same reference numerals as much as possible, and duplicated description will be omitted. First Embodiment First, a control system 10 according to a first embodiment shown in FIG. 1 will be described. As shown in FIG. 1, the control system 10 includes a vehicle 20 and a server device 30. In this embodiment, the vehicle 20 corresponds to a moving body. The vehicle 20 is a so-called hybrid vehicle having an engine and a motor as a power source for traveling. The vehicle 20 has a function of calculating the failure occurrence probability of various products mounted thereon, such as an engine, a battery, tires, an air conditioner, etc., and notifying the driver of the vehicle 20 of the calculated failure occurrence probability. The vehicle 20 is capable of communicating with the server device 30. The server device 30 acquires information about the vehicle 20 by communicating with the vehicle 20, and sets the insurance premium for the vehicle 20 based on the acquired information.

[0013] Next, specific configurations of the vehicle 20 and the server device 30 will be described with reference to Figs. As shown in FIG. 2, the vehicle 20 includes a battery 21, an inverter device 22, a motor 23, a generator 24, a transmission 25, and an engine 26.

[0014] The battery 21 is a secondary battery that can be charged and discharged. The inverter device 22 converts the DC power supplied from the battery 21 into three-phase AC power, and supplies the converted three-phase AC power to the motor 23.

[0015] The motor 23 is driven based on the three-phase AC power supplied from the inverter device 22. The motor 23 transmits power to the wheels 27 via the transmission 25, thereby applying torque to the wheels 27, and causes the vehicle 20 to accelerate. The generator 24 generates electricity by regenerative driving when the vehicle 20 is decelerating. A braking force is applied to the wheels 27 by the regenerative driving of the generator 24. The three-phase AC power generated by the regenerative driving of the generator 24 is converted to DC power by the inverter device 22 and charged into the battery 21.

[0016] The engine 26 transmits power to the wheels 27 via the transmission 25, thereby applying torque to the wheels 27, causing the vehicle 20 to accelerate. As shown in FIG. 3, the vehicle 20 further includes a sensor unit 40, a control device 50, a touch panel 60, a storage device 61, and a communication device 62.

[0017] The sensor unit 40 indicates various sensors mounted on the vehicle 20. The sensor unit 40 includes, for example, an outside air temperature sensor 41, a battery temperature sensor 42, and a SOC (State Of Charge) sensor 43. The outside air temperature sensor 41 detects the outside air temperature of the vehicle 20. The battery temperature sensor 42 detects the temperature of the battery 21. The SOC sensor 43 detects the SOC value of the battery 21. The SOC value represents the state of charge of the battery 21 in the range from "0%" to "100%" with the fully discharged state of the battery 21 defined as "0%" and the fully charged state of the battery 21 defined as "100%". The various sensors included in the sensor unit 40 output signals according to the detected physical quantities to the control device 50.

[0018] The touch panel 60 has a function as a display device that displays various information visible to the driver of the vehicle 20, and a function as an operation device that allows the driver to perform various input operations. As the touch panel 60, for example, a touch panel of a car navigation device can be used.

[0019] The storage device 61 stores various information about the vehicle 20, such as information about the insurance premium for the vehicle 20. The communication device 62 is a device for performing two-way wireless communication with the server device 30 via a network line.

[0020] The control device 50 is mainly composed of a microcomputer having a CPU, ROM, RAM, etc. The control device 50 acquires various information of the vehicle 20 based on the output signal of the sensor unit 40, and executes various processes of the vehicle 20 based on the acquired information. For example, the control device 50 executes a process of calculating a failure occurrence probability of a product mounted on the vehicle 20 based on various information of the vehicle 20 detected by the sensor unit 40, and displaying the calculated failure occurrence probability on the touch panel 60. In order to execute such a process, the control device 50 has a data acquisition unit 51, an operation detection unit 52, a failure occurrence probability calculation unit 53, a failure determination unit 54, a notification unit 55, and a communication unit 56 as functional configurations realized by executing a program pre-stored in the ROM.

[0021] The data acquisition unit 51 acquires various information about the vehicle 20 based on the output signal of the sensor unit 40. For example, the data acquisition unit 51 acquires the outside air temperature T out The data acquisition unit 51 also acquires information on the temperature T B Furthermore, the data acquiring unit 51 acquires information on the SOC value of the battery 21 based on the output signal of the SOC sensor 43.

[0022] The operation detection unit 52 detects an operation by the driver on the touch panel 60. For example, when an overview screen 100 as shown in Fig. 4 is displayed on the touch panel 60 and a "battery" icon 101 is touched, the operation detection unit 52 detects the touch operation.

[0023] 3 calculates the probability of failure of products mounted on the vehicle 20, such as the battery 21, the engine 26, tires, an air conditioner, etc., based on various information about the vehicle 20 acquired by the data acquisition unit 51. Hereinafter, the products mounted on the vehicle 20 are referred to as "on-vehicle items." In this embodiment, the on-vehicle items correspond to the on-vehicle items of the vehicle 20.

[0024] Next, an example of a method for calculating the failure occurrence probability of the battery 21 by the failure occurrence probability calculation unit 53 will be described. The failure occurrence probability calculation unit 53 calculates the outside air temperature T out Change in temperature of battery 21 T B , the transition of the SOC value of the battery 21, and the standby time T a Battery life based on 21 L a and cycle life L s The failure occurrence probability of the battery 21 is calculated from the calculated values. a corresponds to the integrated value of the time when the battery 21 is not in use. out corresponds to data on the environmental factors that affect the probability of failure of the battery 21.

[0025] Unused life L a is the life of the battery 21 that shortens due to deterioration even when not in use. a There are three factors used in calculating the failure factor: the exposure time, the temperature of the exposure environment, and the open circuit voltage. In this embodiment, the exposure time, the temperature of the exposure environment, and the open circuit voltage correspond to the failure factors.

[0026] First, the standing time T a The rate of decrease in the discharge capacity of the battery 21 due to the length of time can be calculated by the following formula f1. In formula f1, "k s ” is the deterioration rate constant, and the outside temperature T out or the SOC value of the battery 21. K time =k s T a 0.5 (f1) In addition, the rate of decrease in the discharge capacity of the battery 21 due to the temperature of the storage environment K temp can be calculated by the following formula f2 according to the Arrhenius equation. In formula f2, "A" is a constant, "R" is the gas constant, and T out is the outside temperature (absolute temperature). Also, "Ea " is the activation energy at nominal voltage (ΔOCV=0).

[0027] K temp =A exp(-E a / (R·T out )) (f2) Furthermore, the rate of decrease in the discharge capacity of the battery 21 due to the open circuit voltage K OCV is the activation energy E a By assuming an Arrhenius model in which the voltage is modulated, the following equation f3 can be used. In equation f3, "A" is a constant, "R" is the gas constant, and "T out " is the outside temperature (absolute temperature). Also, "E a " is the activation energy at the nominal voltage (ΔOCV=0). Furthermore, "γ" is the field transfer coefficient of the side reaction, and "F" is the Faraday constant.

[0028] K OCV =A·exp(-(E a -γ F ΔOCV) / R T) (f3) The failure occurrence probability calculation unit 53 calculates the outside temperature T out , the SOC value of the battery 21, and the unused time T a Based on the above formulas f1 to f3, each reduction rate K time ,K temp ,K OCV Calculate the decrease rate K time ,K temp ,K OCV Using a formula, etc., calculate the shelf life L of the battery 21. a Calculate the following.

[0029] On the other hand, the cycle life L s is the life of the battery 21 that is shortened due to deterioration with use. s There are two factors for calculating the failure factor, which are the charge / discharge pattern and the battery temperature. In this embodiment, the charge / discharge pattern and the battery temperature also correspond to the failure factor. The rate of decrease K in the discharge capacity of the battery 21 due to the charge / discharge pattern pConsider the charging and discharging conditions. The charging conditions are as follows: When the SOC value of the battery 21 is high, the cycle life L s The condition is that the shelf life L a The discharge condition differs depending on the type of the battery 21 and the usage conditions. For example, the discharge condition is calculated by a verification experiment on the relationship between the depth of discharge, the number of discharges, and the discharge time, and a prediction formula is prepared in advance. The reduction rate K of the discharge capacity of the battery 21 due to the charge and discharge pattern is p can be calculated by using a prediction formula according to the charging conditions and a prediction formula based on the discharging conditions.

[0030] The rate of decrease in the discharge capacity of the battery 21 due to the battery temperature K b is the shelf life L a Similarly, the temperature T of the battery 21 is approximated by the Arrhenius model. B can be calculated using the following formula f4. K b =A exp(-E a / (R·T B )) (f4) The failure occurrence probability calculation unit 53 calculates the decrease rate K of the discharge capacity of the battery 21 caused by the charge and discharge pattern based on a predetermined prediction formula. p The failure occurrence probability calculation unit 53 calculates the temperature T B Based on the above formula f4, the rate of decrease in the discharge capacity of the battery 21 due to the battery temperature K b Then, the failure occurrence probability calculation unit 53 calculates each decrease rate K p ,K b Using the formula, etc., calculate the cycle life L of battery 21. s Calculate the following.

[0031] The failure occurrence probability calculation unit 53 calculates the thus obtained unused life L of the battery 21. a The first failure occurrence probability Pf1 is calculated using an arithmetic formula or the like from the above, and the cycle life L of the battery 21 is calculated. sThe second failure occurrence probability Pf2 is calculated using an arithmetic formula or the like. Each failure occurrence probability Pf1, Pf2 is expressed in the range of "0[%]" to "100[%]", and the higher the value, the more likely a failure is to occur.

[0032] Since the degree of influence of each element of the deterioration factors of the multiple batteries 21 varies depending on the product, it is possible to predict failure of the battery 21 by assuming several usage patterns and calculating the degree to which each operation affects the deterioration based on the deterioration evaluation. It is possible to calculate the failure rate (rate of decrease in discharge capacity) by using the integrated value of the deterioration factors according to the actual usage.

[0033] The failure determination unit 54 determines whether or not there is a high possibility of a failure occurring in the target in-vehicle item by comparing the failure occurrence probability of each in-vehicle item calculated by the failure occurrence probability calculation unit 53 with a predetermined value. For example, the failure determination unit 54 determines that there is a high possibility of a failure occurring in the battery 21 based on the fact that either one of the failure occurrence probabilities Pf1, Pf2 of the battery 21 calculated by the failure occurrence probability calculation unit 53 is equal to or greater than the predetermined value α.

[0034] The notification unit 55 provides various notifications to the driver of the vehicle 20. For example, the notification unit 55 displays an overview screen 100 shown in FIG. 4 on the touch panel 60. In this embodiment, the overview screen 100 corresponds to the first screen. On the overview screen 100, icons 101 to 106 of in-vehicle items whose status can be confirmed are displayed. When the driver touches any of the icons 101 to 106, the notification unit 55 displays a detailed screen corresponding to the touched icon on the touch panel 60. For example, when the driver touches the icon 101 of "battery", the touch operation is detected by the operation detection unit 52 and the notification unit 55 is notified of the touch operation. At this time, the notification unit 55 displays a detailed screen 110 corresponding to the battery 21 as shown in FIG. 5 on the touch panel 60.

[0035] On the detail screen 110, the detailed state of each vehicle-mounted item can be confirmed. In this embodiment, the detail screen 110 corresponds to the second screen. For example, on the detail screen 110 of the battery 21 shown in Fig. 5, the failure occurrence probabilities Pf1, Pf2 of each battery 21 are displayed as percentages. In this manner, on the detail screen 110, the failure cause of each vehicle-mounted item and the failure occurrence probability of the failure cause in the current state are displayed.

[0036] Furthermore, when an in-vehicle item that is highly likely to malfunction is detected, the malfunction determination unit 54 notifies the notification unit 55 of information about the in-vehicle item. At this time, the notification unit 55 notifies the driver of the vehicle 20 that there is an in-vehicle item that is highly likely to malfunction. For example, when the probability of a tire bursting is high, the notification unit 55 displays a notification screen 120 as shown in FIG. 6 on the touch panel 60. The notification screen 120 displays the in-vehicle item with the high malfunction probability, the cause of the malfunction, and a message urging the driver to take measures. Note that the notification screen 120 may display an icon that transitions to a detailed screen of the target in-vehicle item so that detailed information about the in-vehicle item can be confirmed.

[0037] 3 transmits various information of the vehicle 20 to the server device 30 via the communication device 62. For example, the communication unit 56 transmits information on the failure occurrence probability of each on-board item calculated by the failure occurrence probability calculation unit 53 to the server device 30. In addition, the communication unit 56 receives various information transmitted from the server device 30 to the vehicle 20 via the communication device 62.

[0038] Next, a specific procedure for the process of calculating and displaying the failure occurrence probability executed by the control device 50 of the vehicle 20 will be described with reference to Fig. 7. Note that the process shown in Fig. 7 is started when the operation detection unit 52 detects that a failure occurrence probability confirmation button displayed on the touch panel 60 has been turned on, for example.

[0039] As shown in FIG. 7, the data acquisition unit 51 of the control device 50 first acquires various pieces of information about the vehicle 20 based on the output signals of the sensor unit 40 as the process of step S10. In step S11 following step S10, the failure occurrence probability calculation unit 53 of the control device 50 calculates the failure occurrence probability of each on-board item of the vehicle 20 based on the information acquired by the data acquisition unit 51. At this time, the failure occurrence probability calculation unit 53 calculates the failure occurrence probability for each failure occurrence cause of each on-board item.

[0040] In step S12 following step S11, the communication unit 56 transmits the failure occurrence probability for each failure occurrence cause of each on-vehicle item calculated by the failure occurrence probability calculation unit 53 to the server device 30. In the process of step S13 following step S12, the failure determination unit 54 determines whether or not there is an in-vehicle item with a high failure occurrence probability. Specifically, the failure determination unit 54 determines whether or not the failure occurrence probability of the target in-vehicle item is equal to or greater than a predetermined value, and determines that the failure occurrence probability of the target in-vehicle item is high based on the failure occurrence probability of the target in-vehicle item being equal to or greater than a predetermined value α. If the failure determination unit 54 determines that there is no in-vehicle item with a high failure occurrence probability, it makes a negative determination in the process of step S13 and returns to the process of step S10. On the other hand, if the failure determination unit 54 determines that there is an in-vehicle item with a high failure occurrence probability, it makes a positive determination in the process of step S13 and proceeds to the process of step S14.

[0041] As the process of step S14, the notification unit 55 notifies the driver of the presence of an in-vehicle item having a high probability of malfunction by displaying the presence of the in-vehicle item on the touch panel 60. Thus, in this embodiment, the notification unit 55 corresponds to a malfunction information notification unit. As described above, in the control system 10 of this embodiment, information on the probability of failure occurrence of each on-board item of the vehicle 20 is transmitted to the server device 30. The server device 30 performs calculations of insurance premiums and the like based on the information transmitted from the vehicle 20.

[0042] Specifically, as shown in FIG. 3, the server device 30 includes a communication device 70, a computing device 80, and a storage device 90. The communication device 70 is a device for performing two-way wireless communication with the vehicle 20 via a network line.

[0043] The storage device 90 stores various information held by the server device 30. For example, a subscriber database 91 is stored in the storage device 90. The subscriber database 91 stores the identification number of each user who has insured a vehicle, the vehicle identification number corresponding to each user's identification number, the probability of failure of on-board items of each vehicle, the insurance premium of each user, and the like, all of which are associated with each other.

[0044] The arithmetic device 80 is mainly composed of a microcomputer having a CPU, ROM, RAM, etc. The arithmetic device 80 calculates a discount rate for the insurance premium of the vehicle 20 based on the failure occurrence probability of each on-board item transmitted from the vehicle 20, and corrects the insurance premium of the vehicle 20 based on the calculated discount rate. In order to execute such processing, the arithmetic device 80 has a communication unit 81 and a premium calculation unit 82 as functional components realized by executing a program pre-stored in the ROM.

[0045] The communication unit 81 receives various information transmitted from the vehicle 20 by the communication device 62. For example, the communication unit 81 receives information on the probability of failure occurrence of each on-board item transmitted from the vehicle 20, and stores the received information on the probability of failure occurrence of each on-board item in the subscriber database 91 in association with the identification information of the vehicle 20. Furthermore, in response to a request from the vehicle 20, the communication unit 81 transmits information on the insurance premium of the vehicle 20 stored in the subscriber database 91 to the vehicle 20 via the communication device 62.

[0046] The fee calculation unit 82 calculates the insurance premium for the vehicle 20 based on the failure occurrence probability of each on-board item of the vehicle 20 received via the communication unit 81. Specifically, a basic insurance premium is set in advance for the vehicle 20 according to the conditions at the time of insurance subscription. Information on the basic insurance premium is stored in the subscriber database 91. The fee calculation unit 82 calculates a discount rate using an arithmetic formula, a map, etc. from the failure occurrence probability of each on-board item of the vehicle 20, and corrects the basic insurance premium based on the calculated discount rate to obtain the discounted insurance premium. The fee calculation unit 82 stores the obtained discounted insurance premium in the subscriber database 91.

[0047] Next, a specific procedure of the process of calculating the insurance premium executed by the calculation device 80 of the server device 30 will be described with reference to Fig. 8. The process shown in Fig. 8 is executed when the server device 30 receives information on the failure occurrence probability of each on-board item transmitted from the vehicle 20.

[0048] 8, the fee calculation unit 82 first calculates a discount rate of the insurance premium based on the failure occurrence probability of each in-vehicle item as a process of step S20, and then calculates the discounted insurance premium based on the calculated discount rate as a process of step S21. In addition, as a process of step S22 following step S21, the fee calculation unit 82 transmits information on the discounted insurance premium to the vehicle 20.

[0049] In addition, in the vehicle 20, when the communication unit 56 of the control device 50 receives the information on the discounted insurance premium transmitted from the server device 30, it stores it in the storage device 61. For example, when the driver operates the insurance premium confirmation button displayed on the touch panel 60, the notification unit 55 of the control device 50 displays the information on the discounted insurance premium on the touch panel 60. At this time, as shown in FIG. 9, for example, an insurance premium confirmation screen 150 including information on the current vehicle condition, the discount rate, and the discounted insurance premium is displayed on the touch panel 60. The vehicle condition is determined from the probability of failure of each vehicle-mounted item, and is considered to be good when the probability of failure of each vehicle-mounted item is low. Thus, in this embodiment, the notification unit 55 of the vehicle 20 corresponds to the fee information notification unit.

[0050] According to the control system 10 for the vehicle 20 of the present embodiment described above, the following actions and advantages (1) to (8) can be obtained. (1) The control device 50 of the vehicle 20 includes a data acquisition unit 51 that acquires data on a plurality of failure factors that cause failures in the on-board equipment, and a failure occurrence probability calculation unit 53 that calculates the failure occurrence probability of the on-board equipment corresponding to the failure factors based on the data on the plurality of failure factors. For example, the data acquisition unit 51 acquires data on factors that cause failures in the battery 21, such as the standby life L, the standby time, the temperature of the standby environment, etc. a Failure factors related to the cycle life L such as charge / discharge patterns and battery temperature s The failure occurrence probability calculation unit 53 acquires failure factors related to the left-standing life L such as the left-standing time and the temperature of the left-standing environment. a The first failure occurrence probability Pf1 is calculated based on the failure factors related to the charge / discharge pattern, the battery temperature, etc., and the cycle life L s The second failure occurrence probability Pf2 is calculated based on the failure factors related to the above. According to this configuration, since vehicle data of the broken-down vehicle is not required to calculate the failure occurrence probability of the on-vehicle item, it is possible to detect the failure occurrence probability while achieving high versatility.

[0051] (2) The data acquisition unit 51 acquires, as a failure factor of the battery 21, an environmental factor that affects the probability of failure of the battery 21, specifically, an outside temperature T out According to this configuration, the temperature T B , the SOC value of the battery 21, and the unused time T a In addition to internal factors such as out Since the failure occurrence probability of the battery 21 is calculated taking into account these external factors, the failure occurrence probability can be calculated with higher accuracy.

[0052] (3) The fee calculation unit 82 of the server device 30 calculates the discount rate of the insurance premium based on the probability of the occurrence of a breakdown of the in-vehicle item. With this configuration, it is possible to set a more appropriate insurance premium. The fee calculation unit 82 may use a discount amount instead of the discount rate. (4) The subscriber database 91 of the server device 30 stores information on the probability of failure of each on-board item of a plurality of vehicles 20. The fee calculation unit 82 calculates a discount rate for the insurance premium based on the probability of failure of the on-board items stored in the subscriber database 91. This configuration makes it possible to set a more appropriate insurance premium.

[0053] (5) The notification unit 55 of the vehicle 20 notifies the driver of the vehicle 20 of the insurance premium discount rate and the discounted insurance premium according to the discount rate. This configuration makes it easier for the driver of the vehicle 20 to recognize the insurance premium discount rate and the discounted insurance premium. (6) The failure determination unit 54 of the vehicle 20 determines that the failure probability of the on-board item is high when the failure probability of the on-board item is equal to or greater than the predetermined value α. With this configuration, it is possible to easily determine whether the failure probability of the on-board item is high or not.

[0054] (7) The notification unit 55 of the vehicle 20 provides a notification based on the failure occurrence probability of the on-board item as shown in Fig. 5 to the driver of the vehicle 20. This configuration makes it easier for the driver to check the failure occurrence probability of the on-board item. 5, the failure probability of the on-board item is displayed for each of a plurality of failure factors on the detail screen 110. This configuration makes it easier for the driver to recognize the failure probability of the on-board item.

[0055] (First Modification) Next, a first modification of the control system 10 of the first embodiment will be described. In the process of step S11 shown in Fig. 7, the failure occurrence probability may be calculated based on the usage intensity and usage data of the on-vehicle items. Specifically, as shown in Fig. 10, the failure occurrence probability calculation unit 53 first calculates the usage intensity of each on-vehicle item as the process of step S30 following step S10. Specifically, the usage intensity of each on-vehicle item is calculated based on various information of the vehicle 20 obtained in the process of step S10.

[0056] In step S31 following step S30, the failure probability calculation unit 53 selects usage data. Specifically, the failure probability calculation unit 53 selects durability data to be used for the failure probability of each on-board item from a durability database 610 for each on-board item stored in the storage device 61 of the vehicle 20, which is shown by a dashed line in Fig. 3. Then, the failure probability calculation unit 53 calculates the failure probability for each failure cause of each on-board item from the durability of each on-board item and the usage intensity of each on-board item.

[0057] FIG. 11 shows an example of the operation of the control system 10 of this modified example. As shown in FIG. 11(A), if the vehicle is started at time t10, calculation of the usage intensity of the on-board items is started as shown in FIG. 11(C). The usage intensity of the on-board items increases or decreases according to the state of the vehicle 20 shown in FIG. 11(B). At this time, the failure occurrence probability of the on-board items changes, for example, as shown in FIG. 11(D). As shown by the two-dot chain line in FIG. 11(D), if the failure occurrence probability becomes equal to or exceeds a predetermined value α at time t11, a notification screen 120 as shown in FIG. 6 is displayed on the touch panel 60 at this time t11. The discount rate of the insurance premium and the discounted insurance premium change, for example, as shown in FIG. 11(E) and (F).

[0058] (Second Modification) Next, a second modification of the control system 10 of the first embodiment will be described. For example, the tires of the vehicle 20 may be used as the on-board item for calculating the failure probability. The failure probability calculation unit 53 calculates the probability of tire puncture or burst from accelerator operation, brake operation, steering operation, tire pressure sensor values, mileage, etc. When the air pressure of a tire is low, the failure probability calculation unit 53 determines that the tire is prone to burst, prone to puncture, poor fuel economy, accelerated tread wear, prone to uneven wear, poor ride comfort, etc. In addition, when in-car information related to driving is detected, such as long-term high-speed driving, repeated sudden starts and stops, and sudden direction changes that cause large tire heat generation, the failure probability calculation unit 53 determines that the tire is prone to burst.

[0059] (Third Modification) Next, a third modification of the control system 10 of the first embodiment will be described. As an in-vehicle item for calculating the failure probability, for example, an air conditioner of the vehicle 20 can be used. The failure probability calculation unit 53 calculates the failure probability of the air conditioner from the usage time of the air conditioner, the outside air temperature, the set temperature, the cooling water temperature, the number of revolutions of the blower fan motor, etc. If a state in which there is a large difference between the outside air temperature and the set temperature continues, the blower fan motor will continue to operate at high speed for a long period of time, and the usage intensity of the air conditioner will increase.

[0060] (Fourth Modification) Next, a fourth modification of the control system 10 of the first embodiment will be described. As the in-vehicle item for calculating the failure probability, it is possible to adopt a battery such as a lead-acid battery that supplies power to various auxiliary devices of the vehicle 20. The failure probability calculation unit 53 calculates the occurrence probability of battery deterioration, dead battery, poor connection of terminals, and leakage from the battery temperature, battery voltage, battery current, usage time, outside temperature, etc. The battery usage intensity increases because the battery can run out or deteriorate when the lights are kept on while the vehicle is stopped or when the auxiliary devices are operated excessively while driving. In addition, the battery degradation, etc. may be calculated by calculating the usage intensity from the battery usage status taking into account the entire vehicle system, such as the amount of power used by the motor generator system while driving and the amount of power used by the air conditioner and audio equipment.

[0061] (Fifth Modification) Next, a fifth modification of the control system 10 of the first embodiment will be described. As an on-board item for which the failure occurrence probability is calculated, for example, the alternator of the vehicle 20 can be adopted. The failure occurrence probability calculation unit 53 calculates the occurrence probability of a fault in the fan belt, a fault in the brush, a fault in the regulator, a fault in the diode, a coil break, and the like of the alternator.

[0062] (Sixth Modification) Next, a sixth modification of the control system 10 of the first embodiment will be described. As an on-board item for which the failure occurrence probability is calculated, for example, a starter of the vehicle 20 can be adopted. The failure occurrence probability calculation unit 53 calculates the occurrence probability of a relay failure, a connection failure of a terminal portion, a meshing failure, and a failure of an ignition switch of the starter.

[0063] (Seventh Modification) Next, a seventh modification of the control system 10 of the first embodiment will be described. As an on-board item for calculating the failure occurrence probability, for example, the electric motor of the vehicle 20 can be adopted. The failure occurrence probability calculation unit 53 calculates wear of the rotating part, deterioration of the resin part, etc. from the rotation speed, command torque, internal temperature, etc. of the electric motor.

[0064] (Eighth Modification) Next, an eighth modification of the control system 10 of the first embodiment will be described. The signals and formulas required for the calculation of the failure probability by the failure probability calculation unit 53 differ for each component. However, the common theoretical parts are as follows.

[0065] When calculating the failure probability, it is possible to consider it from the following two perspectives: (a) Failure occurrence based on stress intensity and number of stress occurrences. (b) Failures occur based on the temperature and duration of use.

[0066] Regarding (a) above, it is possible to perform calculations for fatigue failures of each component using the same concept as the SN diagram when considering failures of metals, concrete, etc. A failure occurrence curve such as that shown in Figure 12 can be grasped at the time of design and manufacture from the stress intensity and number of stress occurrences given to each component. The failure occurrence probability can be calculated from the stress intensity and number of stress occurrences actually given in the market.

[0067] Regarding (b) above, it is possible to estimate the denaturation of materials from the amount of energy given to the product and the time it takes to give it. If the time it takes for a reaction to progress to a certain level is "L", the following formula f5 can be derived from the Arrhenius chemical reaction equation. In formula f5, "ln" is the natural logarithm, "A" is a constant, and "E a " is the activation energy, "R" is the gas constant, and "T" is the absolute temperature (K).

[0068] ln(L)=A+E a / R·T (f5) For in-vehicle products, this formula f5 can be written as shown in Figure 13, since it is estimated based on the product temperature and usage time during market use. The failure prediction line in the Arrhenius plot can be understood from values ​​obtained in evaluation tests during design and manufacturing, and it is possible to calculate the probability of failure by comparing it with the actual strength and duration of use in the market.

[0069] <Second embodiment> Next, a second embodiment of the control system 10 will be described. The following mainly describes the differences from the control system 10 of the first embodiment. 14, the control system 10 of the present embodiment differs from the control system 10 of the first embodiment in that the control system 10 of the present embodiment includes a server device 140 separate from the vehicle 20 and the server device 30. Hereinafter, for convenience, the server device 30 will be referred to as the "first server device 30" and the server device 140 will be referred to as the "second server device 140."

[0070] As shown in FIG. 15, the second server device 140 includes a communication device 141, a calculation device 142, and a storage device 143. The communication device 141 is a device for performing two-way wireless communication with the vehicle 20 and the first server device 30 via a network line.

[0071] The storage device 143 stores information transmitted from the vehicle 20, for example, information acquired by the data acquisition unit 51 of the vehicle 20. The storage device 143 may also store a durability database 1430 of each on-vehicle item shown in FIG. The arithmetic device 142 is mainly configured with a microcomputer having a CPU, ROM, RAM, etc. The arithmetic device 142 calculates a failure occurrence probability based on information of each on-board item transmitted from the vehicle 20. In order to execute such processing, the arithmetic device 142 has a communication unit 1420, a failure occurrence probability calculation unit 1421, and a failure determination unit 1422 as functional components realized by executing a program pre-stored in the ROM.

[0072] The communication unit 1420 receives various types of information transmitted from the vehicle 20 and the first server device 30 via the communication device 141. For example, the communication unit 56 of the vehicle 20 transmits various types of vehicle information acquired by the data acquisition unit 51 to the second server device 140. The communication unit 1420 of the second server device 140 receives the various types of information transmitted from the vehicle 20 via the communication device 141 and stores the information in the storage device 143.

[0073] Furthermore, the communication unit 1420 transmits various types of information from the second server device 140 to the vehicle 20 and the first server device 30 via the communication device 141. For example, the communication unit 1420 transmits information on the failure occurrence probability of each on-vehicle item calculated by the failure occurrence probability calculation unit 1421 to the vehicle 20 and the first server device 30.

[0074] The failure occurrence probability calculation unit 1421 calculates the failure occurrence probability of each on-board item of the vehicle 20 based on various information of the vehicle 20 stored in the storage device 143. The failure determination unit 1422 determines whether or not each on-board item is likely to fail based on the failure occurrence probability of each on-board item calculated by the failure occurrence probability calculation unit 1421, and transmits the determination result to the vehicle 20. In the vehicle 20, when a determination result indicating that the on-board item has a high failure occurrence probability is transmitted from the second server device 140, the notification unit 55 displays this fact on the touch panel 60. Note that the calculation method of the failure occurrence probability and the determination method of a failure are the same as those described in the first embodiment, and therefore detailed description thereof will be omitted.

[0075] In this way, even if the fault occurrence probability calculation unit 1421 and the fault determination unit 1422 are mounted on the second server device 140 separate from the vehicle 20, it is possible to obtain the same or similar effects as those of the first embodiment. In this embodiment, the second server device 140 corresponds to another device.

[0076] <Third embodiment> Next, a third embodiment of the control system 10 will be described. The following mainly describes the differences from the control system 10 of the first embodiment. The on-vehicle equipment is composed of a plurality of components. The control system 10 of the present embodiment calculates the failure probability of each of the plurality of components, and then calculates the failure probability of the on-vehicle equipment based on the calculated failure probability.

[0077] For example, as shown in Fig. 16(A), motor 23 is composed of multiple components 23(1), 23(2), ..., 23(m) such as bearings and magnets. Here, "m" is an integer equal to or greater than 2. Failure occurrence probability calculation unit 53 calculates the usage strength of the bearings of motor 23 based on, for example, the change in the rotation speed of motor 23 and the duration of rotation, and calculates the stress of the bearings from the calculated usage strength. Then, failure occurrence probability calculation unit 53 calculates the failure occurrence probability of the bearings from the calculated stress.

[0078] Furthermore, failure occurrence probability calculation unit 53 calculates stress (thermal fatigue) of the magnet of motor 23 based on the outside air temperature, the temperature of the mounting location of motor 23, the amount of heat generated by motor 23, etc. Then, failure occurrence probability calculation unit 53 calculates the failure occurrence probability of the magnet from the calculated stress. In this manner, the failure occurrence probability calculation unit 53 calculates the failure occurrence probabilities Pf10(1), Pf10(2), ..., Pf10(m) of each of the multiple components 23(1), 23(2), ..., 23(m) of the motor 23. The failure occurrence probability calculation unit 53 calculates the failure occurrence probability Pf10 of the motor 23 from the calculated failure occurrence probabilities Pf10(1), Pf10(2), ..., Pf10(m). For example, the failure occurrence probability calculation unit 53 uses the largest of the failure occurrence probabilities Pf10(1), Pf10(2), ..., Pf10(m) as the failure occurrence probability Pf10 of the motor 23.

[0079] 16(B), battery 21 is composed of multiple components 21(1), 21(2), ..., 21(n) such as electrodes and current collectors, where "n" is an integer equal to or greater than 2. Failure occurrence probability calculation unit 53 calculates the stress of the electrodes based on, for example, the current flowing through the electrodes, the voltage applied to the electrodes, and the usage time of battery 21, and calculates the probability of failure occurrence of the electrodes from the calculated stress.

[0080] Furthermore, the failure occurrence probability calculation unit 53 calculates the amount of change in gas pressure inside the battery 21 based on the characteristic change in the impedance response of the battery 21, and calculates the deterioration degree and destruction probability of the current collector by combining the calculated amount of change in gas pressure and the number of charge / discharge cycles of the battery 21. Then, the failure occurrence probability calculation unit 53 calculates the failure occurrence probability of the current collector from the calculated deterioration degree and destruction probability of the current collector.

[0081] After calculating the failure occurrence probabilities Pf20(1), Pf20(2), ..., Pf20(n) of each of the multiple components 21(1), 21(2), ..., 21(n) of the battery 21 in this manner, the failure occurrence probability calculation unit 53 calculates a failure occurrence probability Pf20 of the battery 21 from the calculated failure occurrence probabilities Pf20(1), Pf20(2), ..., Pf20(n). For example, the failure occurrence probability calculation unit 53 uses the largest of the failure occurrence probabilities Pf20(1), Pf20(2), ..., Pf20(n) as the failure occurrence probability Pf20 of the battery 21.

[0082] In this manner, in the control system 10 of the vehicle 20 of this embodiment, the failure probability calculation unit 53 calculates the failure probability of each of the multiple components constituting the on-board equipment, and calculates the failure probability of the on-board equipment based on the failure probability of each of the multiple components. Specifically, the failure probability calculation unit 53 uses the failure probability of the component with the highest failure probability among the failure probabilities of each of the multiple components as the failure probability of the on-board equipment. This configuration makes it possible to calculate the failure probability of the on-board equipment with higher accuracy.

[0083] The failure occurrence probability calculation unit 53 may calculate the failure occurrence probability of the vehicle component based on the failure occurrence probability of each of the multiple parts and the availability of each of the multiple parts. For example, when it is difficult to obtain a specific part, specifically when it takes several days to obtain the specific part, it is necessary to recognize the failure of the specific part as soon as possible. Therefore, the failure occurrence probability calculation unit 53 may correct the failure occurrence probability of the part in a direction in which the more difficult it is to obtain the part, the higher the failure occurrence probability of the part. For example, the failure occurrence probability calculation unit 53 calculates a weighting coefficient based on the availability of the part based on a map or the like. In this map, the weighting coefficient is set to a larger value as the availability of the part becomes more difficult. After calculating the failure occurrence probability of the part, the failure occurrence probability calculation unit 53 multiplies the failure occurrence probability by the weighting coefficient to calculate the final failure occurrence probability. With such a configuration, it is possible to calculate the failure occurrence probability taking into account the availability of the part.

[0084] <Other embodiments> The above embodiment can also be implemented in the following manner. The fee calculation unit 82 of the server device 30 may change the discount rate or the discount amount based on at least one of the type of the on-vehicle item and the failure factor corresponding to the on-vehicle item.

[0085] When the driver performs an operation on the vehicle 20 that increases the probability of a malfunction occurring in an on-board item, the notification unit 55 of the vehicle 20 may notify the driver of the operation via the touch panel 60 or the like. With this configuration, it is possible to alert the driver not to perform an operation that increases the probability of a malfunction occurring.

[0086] When calculating the usage strength of each vehicle-mounted item from the driving data of the vehicle 20 and setting the insurance premium, it is possible to use signals such as those shown in Figs. 17 to 19, for example. The communication unit 81 of the server device 30 may transmit information on the failure occurrence probability stored in the subscriber database 91 to a business operator. The business operator is a company that manages the inventory of supplies and dispatches tow trucks. In this case, the communication unit 81 corresponds to the business operator communication unit.

[0087] The control device 50 and the computing device 80, 142 described in the present disclosure, and the control method thereof, may be realized by one or more dedicated computers provided by configuring a processor and a memory programmed to execute one or more functions embodied in a computer program. The control device 50 and the computing device 80, 142 described in the present disclosure, and the control method thereof, may be realized by a dedicated computer provided by configuring a processor including one or more dedicated hardware logic circuits. The control device 50 and the computing device 80, 142 described in the present disclosure, and the control method thereof, may be realized by one or more dedicated computers configured by a combination of a processor and a memory programmed to execute one or more functions and a processor including one or more hardware logic circuits. The computer program may be stored in a computer-readable non-transient tangible recording medium as instructions executed by the computer. The dedicated hardware logic circuit and the hardware logic circuit may be realized by a digital circuit including a plurality of logic circuits, or an analog circuit.

[0088] The present disclosure is not limited to the above specific examples. Any design modifications made by a person skilled in the art to the above specific examples are also included within the scope of the present disclosure as long as they have the features of the present disclosure. The elements of each of the above specific examples, as well as their arrangements, conditions, shapes, etc., are not limited to those exemplified and can be modified as appropriate. The elements of each of the above specific examples can be combined in different ways as appropriate, as long as no technical contradictions arise. [Explanation of symbols]

[0089] 10: Control system 20: Vehicle (moving object) 50: Control device (computer) 51: Data acquisition section 53,1421: Fault occurrence probability calculation unit 54,1422: Failure determination section 55: Notification section (charge information notification section, fault information notification section) 81: Communications Department (Business Communications Department) 82: Charge calculation unit 91: Subscriber database 140: Server device (another device)

Claims

1. A data acquisition unit (51) for acquiring data on a plurality of failure factors that may cause failures in mounted equipment of a moving body (20); a failure occurrence probability calculation unit (53, 1421) for calculating a failure occurrence probability of the on-board equipment corresponding to the plurality of failure factors based on the data of the plurality of failure factors; The failure occurrence probability calculation unit calculates the failure occurrence probability of each of a plurality of components constituting the on-board equipment, and calculates the failure occurrence probability of the on-board equipment based on the failure occurrence probability of each of the plurality of components and the availability of each of the plurality of components. Vehicle control system.

2. The system further includes a failure determination unit (54, 1422) for determining that the failure occurrence probability of the on-board equipment is high based on the failure occurrence probability of the on-board equipment being equal to or higher than a predetermined value. The control system for a moving object according to claim 1 .

3. A data acquisition unit (51) for acquiring data on a plurality of failure factors that may cause failure of equipment mounted on a moving body (20); A failure occurrence probability calculation unit (53, 1421) for calculating a failure occurrence probability of the on-board equipment corresponding to the plurality of failure factors based on the data of the plurality of failure factors; and a fee calculation unit (82) for calculating a discount rate or a discount amount of the insurance premium based on the probability of failure of the on-board equipment. Vehicle control system.

4. The system further includes a database (91) in which information on the failure occurrence probability of each of the mounted items of a plurality of moving bodies is stored, The fee calculation unit calculates a discount rate or a discount amount of the insurance fee based on information on the failure occurrence probability of the on-board equipment stored in the database. The control system for a moving object according to claim 3.

5. The insurance company may provide a vehicle insurance company with a discount rate or discount amount for the insurance premium, and a discounted insurance premium according to the discount rate or discount amount, to the driver of the vehicle.

5. A control system for a moving object according to claim 3 or 4.

6. The charge calculation unit changes the discount rate or the discount amount based on at least one of the type of the on-board item and a failure factor corresponding to the on-board item. The control system for a moving object according to claim 3.

7. A computer (50), Acquiring data on a plurality of failure factors that may cause failures in equipment mounted on the moving body (20); Calculating a failure occurrence probability of the on-board equipment corresponding to the plurality of failure factors based on the data of the plurality of failure factors; Calculating the failure occurrence probability for each of a plurality of components constituting the on-board equipment; Calculating the failure occurrence probability of the on-board equipment based on the failure occurrence probability of each of the plurality of parts and the availability of each of the plurality of parts. program.

8. A computer (50), acquiring data on a plurality of failure factors that may cause failure of equipment mounted on the moving body (20); Calculating a failure occurrence probability of the on-board equipment corresponding to the plurality of failure factors based on the data of the plurality of failure factors; Calculating the discount rate or discount amount of the insurance premium based on the probability of failure of the on-board equipment program.

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