Control device

The control device integrates energy consumption values and uses thresholds and machine learning to accurately calculate and learn traveling electric fuel economy, addressing variations from air conditioning and towing conditions.

JP7760987B2Active Publication Date: 2025-10-28TOYOTA JIDOSHA KK
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Patent Information

Application Number
JP2022175497
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2022-11-01
Publication Date
2025-10-28
Estimated Expiration
2042-11-01

AI Technical Summary

Technical Problem

Existing control devices in vehicles fail to accurately calculate traveling electric power consumption due to variations caused by air conditioning system and auxiliary equipment power consumption, especially when towing, leading to inappropriate learning of driving electric power consumption.

Method used

A control device that calculates traveling electric fuel economy by integrating energy consumption values of the battery, air conditioner, and auxiliary equipment, and uses thresholds and machine learning to differentiate between normal and towing conditions for accurate learning.

Benefits of technology

Enables more precise calculation and learning of traveling electric fuel economy, distinguishing between normal and towing conditions, thereby improving the accuracy of electric power consumption estimation.

✦ Generated by Eureka AI based on patent content.

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Abstract

To more appropriately calculate a traveling electricity cost and to more appropriately learn the traveling electricity cost.SOLUTION: A controller is mounted on an automobile together with a motor for traveling, an air conditioner for air-conditioning a passenger compartment, auxiliary equipment, and a battery for supplying power to the motor, air conditioner, and auxiliary equipment. When a trip ends, the controller calculates a traveling electricity cost on the basis of a battery energy consumption integrated value, a traveling distance integrated value, an air conditioner energy consumption integrated value, an auxiliary equipment energy consumption integrated value, and a vehicle potential energy variation during the trip. Then, when the traveling electricity cost is less than a threshold value, the controller learns a traveling learning electricity cost using the traveling electricity cost.SELECTED DRAWING: Figure 2
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Description

[Technical Field]

[0001] The present disclosure relates to a control device, and more particularly to a control device that is mounted in an automobile together with a motor, an air conditioner, accessories, a battery, etc. [Background technology]

[0002] One such control device proposed is one that calculates the distance a vehicle can travel based on its electric power consumption and remaining battery power (see, for example, Patent Document 1). This control device calculates the electric power consumption on a flat road using a value obtained by subtracting the resistance of a slope from the running resistance, and calculates the distance the vehicle can travel on a flat road based on the electric power consumption on the flat road and the remaining battery power. The control device then displays the distance the vehicle can travel and the distance the vehicle can travel on a flat road on a display unit. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2018-064329 Summary of the Invention [Problem to be solved by the invention]

[0004] The control device installed in the above-mentioned vehicle also learns the electric power consumption on a flat road (driving electric power consumption) using the electric power consumption on a flat road obtained by calculation. Because the power output from the battery is also supplied to the air conditioning system and auxiliary equipment, the calculation of the driving electric power consumption must also take into account the power consumption of the air conditioning system and auxiliary equipment. In addition, because the driving electric power consumption varies greatly depending on whether the vehicle is being towed, there are cases where learning using the driving electric power consumption cannot be performed appropriately.

[0005] The control device of the present disclosure has a primary object to more appropriately calculate traveling electric power consumption and more appropriately learn traveling electric power consumption. [Means for solving the problem]

[0006] The control device of the present disclosure employs the following means to achieve the above-mentioned main object.

[0007] The control device of the present disclosure includes: A control device mounted on a vehicle together with a driving motor, an air conditioning device for air-conditioning a passenger compartment, accessories, and a battery for supplying power to the motor, the air conditioning device, and the accessories, The control device (A) at the end of the trip, calculating a traveling electric cost based on an integrated value of energy consumption of the battery during the trip, an integrated value of distance traveled, an integrated value of energy consumption by an air conditioner, an integrated value of energy consumption by an auxiliary device, and an amount of change in position energy of the vehicle; (B) when the traveling electric power consumption is less than a threshold value, the traveling electric power consumption is used to learn a traveling learning electric power consumption; It is characterized by:

[0008] The control device disclosed herein is mounted on a vehicle together with a driving motor, an air conditioner for air-conditioning the passenger compartment, auxiliary equipment, and a battery for supplying power to the motor, the air conditioner, and the auxiliary equipment. At the end of a trip, the control device calculates a traveling electric fuel economy based on the integrated energy consumption value of the battery during the trip, the integrated mileage value, the integrated energy consumption value of the air conditioner, the integrated energy consumption value of the auxiliary equipment, and a change in the vehicle's position energy. This allows for more accurate calculation of the traveling electric fuel economy. When the traveling electric fuel economy is below a threshold, the control device learns a traveling learning electric fuel economy using the traveling electric fuel economy. When the traveling electric fuel economy is equal to or greater than the threshold, the control device does not learn the traveling learning electric fuel economy, allowing for more accurate learning of the traveling electric fuel economy. The "threshold" can be a value that takes into account 3σ (three times the standard deviation) from the average value of normal traveling electric fuel economy. The traveling learning electric fuel economy can be calculated by machine learning using previously calculated traveling electric fuel economy, or by weighting a new traveling electric fuel economy and the traveling learning electric fuel economy from the previous learning results. In this disclosure, "electricity efficiency" refers to the amount of electricity used per unit distance traveled.

[0009] In the control device disclosed herein, when the traveling electric cost is equal to or greater than the threshold, the control device may learn the towing learning electric cost using the traveling electric cost. This allows the towing learning electric cost to be learned more appropriately. The towing learning electric cost can be calculated by machine learning using a previously calculated traveling electric cost equal to or greater than the threshold, or by weighting a new traveling electric cost equal to or greater than the threshold and the towing learning electric cost of the previous learning results.

[0010] In the control device of the present disclosure, the control device may calculate the cumulative energy consumption value of the battery by subtracting the cumulative energy consumption value of the air conditioning unit, the cumulative energy consumption value of the auxiliary equipment, and the change in potential energy from the cumulative energy consumption value of the battery, and dividing the result by the cumulative distance traveled. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a diagram showing an outline of the configuration of an electric vehicle 20 equipped with a control device according to an embodiment of the present disclosure. [Figure 2] 4 is a flowchart showing an example of a traveling electric cost learning process executed by an electronic control unit 60 according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0012] Next, a mode (embodiment) for carrying out the present disclosure will be described. Fig. 1 is a configuration diagram showing an outline of the configuration of an electric vehicle 20 equipped with a control device according to an embodiment of the present disclosure. As shown in Fig. 1, the electric vehicle 20 of the embodiment includes a motor 22, an inverter 24, a high-voltage battery 30, a low-voltage battery 40, a DC / DC converter 44, accessories 46, an air conditioner 48, and an electronic control unit 60. The electronic control unit 60 in the embodiment corresponds to the "control device."

[0013] The motor 22 is configured as, for example, a synchronous generator motor. A rotor (not shown) of the motor 22 is connected to a drive shaft 26 that is coupled to drive wheels 29a, 29b via a differential gear 28. A rotational position detection sensor 22a that detects the rotational position of the rotor is attached to the motor 22.

[0014] The inverter 24 is configured as a well-known inverter circuit having six transistors and six diodes. The inverter 24 is connected to a high-voltage power line 32 that is connected to a high-voltage battery 30. The inverter 24 converts DC power from the high-voltage battery 30 into three-phase AC power using PWM control and applies the AC power to the motor 22 to drive the motor 22.

[0015] The high-voltage battery 30 is configured as, for example, a lithium-ion battery. The high-voltage battery 30 is connected to a high-voltage power line 32. A voltage sensor 31a for detecting a battery voltage Vb is attached to both terminals of the high-voltage battery 30. A current sensor 31b for detecting a battery current Ib is attached to a terminal of the high-voltage battery 30. A system main relay 34 for connecting and disconnecting the high-voltage battery 30 is attached to the high-voltage power line 32. A smoothing capacitor 36 is also attached to the high-voltage power line 32. A voltage sensor 36a for detecting a high-voltage voltage VH is attached to the high-voltage power line 32.

[0016] The low-voltage battery 40 is configured as, for example, a lead-acid battery. The low-voltage battery 40 is connected to a low-voltage power line 42. Auxiliary equipment 46 is attached to the low-voltage power line 42. Examples of the auxiliary equipment 46 include wipers, lights, a seat heater, and a steering wheel heater. A smoothing capacitor 43 is also attached to the low-voltage power line 42. A voltage sensor 43a that detects the low-voltage voltage VL is attached to the low-voltage power line 42.

[0017] The DC / DC converter 44 is connected to the high-voltage power line 32 and the low-voltage power line 42. The DC / DC converter 44 is configured as a well-known DC / DC converter. The DC / DC converter 44 steps down the DC power of the high-voltage power line 32 and supplies the stepped-down DC power to the low-voltage power line 42.

[0018] The electronic control unit 60 is configured as a microcomputer centered around a CPU 62. In addition to the CPU 62, the electronic control unit 60 also includes a ROM 64, a RAM 66, a flash memory (not shown), an input port (not shown), an output port (not shown), and the like.

[0019] The electronic control unit 60 receives, via an input port, the rotational position θ detected by the rotational position detection sensor 22a, the battery voltage Vb detected by the voltage sensor 31a, the battery current Ib detected by the current sensor 31b, the high-voltage system voltage VH detected by the voltage sensor 36a, and the low-voltage system voltage VL detected by the voltage sensor 43a. The electronic control unit 60 also receives a start signal ST from a start switch 70, an accelerator opening Acc detected by an accelerator pedal position sensor 72 attached to an accelerator pedal 71, a brake pedal position BP detected by a brake pedal position sensor 74 attached to a brake pedal 73, and a shift position SP detected by a shift lever position sensor 76 attached to a shift lever 75. The electronic control unit 60 also receives the vehicle speed V detected by a vehicle speed sensor 78 and the acceleration α detected by an acceleration sensor 80. The electronic control unit 60 also receives the power consumption Wac of the air conditioner 48 from the air conditioner 48.

[0020] The electronic control unit 60 outputs a switching control signal to the inverter 24, a drive control signal to the DC / DC converter 44, a display control signal to the display 82, and the like via the output port.

[0021] The electronic control unit 60 calculates the rotation speed Nm of the motor 22 based on the rotational position θ of the rotor of the motor 22. The electronic control unit 60 calculates the power storage rate SOC of the high-voltage battery 30 based on the integrated value of the battery current Ib.

[0022] Next, the operation of the electric vehicle 20 of the embodiment, particularly the operation when the electronic control unit 60 predicts the electricity consumption for an estimated driving distance, will be described. Fig. 2 is a flowchart showing an example of the electric traveling consumption learning process executed by the electronic control unit 60 of the embodiment. Note that in the embodiment, "electric consumption" means the amount of electricity used per unit driving distance.

[0023] In the electric travel cost learning process, the electronic control unit 60 performs the following calculations (steps S100, S110) until the start switch 70 is turned off (ignition off: IG off). The electronic control unit 60 calculates the accumulated travel distance Ddrv until the trip ends. The electronic control unit 60 calculates the accumulated value of energy discharged from the high-voltage battery 30 until the trip ends (accumulated battery energy consumption value ΣEb). The electronic control unit 60 calculates the accumulated value of power consumption by the air conditioner 48 until the trip ends (accumulated air conditioning energy consumption value ΣEac). The electronic control unit 60 calculates the accumulated value of power consumption by the accessories 46 until the trip ends (accumulated accessory energy consumption value ΣEh). The electronic control unit 60 calculates the change in potential energy of the electric vehicle 20 until the trip ends (potential energy change amount ΔPE).

[0024] Next, the electronic control unit 60 calculates the traveling electric power cost ECd (step S120). The traveling electric power cost ECd can be calculated by subtracting the sum of the air conditioning energy consumption integrated value ΣEac, the auxiliary equipment energy consumption integrated value ΣEh, and the potential energy change amount ΔPE from the battery energy consumption integrated value ΣEb, and further dividing the result by the traveling distance integrated value Ddrv.

[0025] Next, electronic control unit 60 determines whether traveling electric power cost ECd is less than threshold value Eref (step S130). Threshold value Eref is a threshold value for determining whether traveling electric power cost ECd is to be learned or not, and may be, for example, a value that takes into account 3σ (three times the standard deviation) from the average value of normal traveling electric power cost ECd.

[0026] When electronic control unit 60 determines in step S130 that traveling electric power cost ECd is less than threshold value Eref, it learns traveling learning electric power cost ECdl using traveling electric power cost ECd (step S140) and ends this process. Traveling learning electric power cost ECdl can be calculated, for example, as the sum of traveling electric power cost ECd multiplied by weight A and the previous traveling learning electric power cost ECdl multiplied by (1-A). Traveling learning electric power cost ECdl may also be calculated by machine learning using traveling electric power cost ECd and past traveling electric power costs ECd that were less than threshold value Eref. By learning traveling learning electric power cost ECdl in this way when traveling electric power cost ECd is less than threshold value Eref, it is possible to more appropriately learn traveling learning electric power cost ECdl.

[0027] When electronic control unit 60 determines in step S130 that traveling electric power cost ECd is equal to or greater than threshold value Eref, it uses traveling electric power cost ECd to learn towing learning electric power cost ECtl (step S150) and ends this process. Towing learning electric power cost ECtl can be calculated, for example, as the sum of weight A multiplied by traveling electric power cost ECd and the previous towing learning electric power cost ECtl multiplied by (1-A). Towing learning electric power cost ECdl may also be calculated by machine learning using traveling electric power cost ECd and past traveling electric power costs ECd that were equal to or greater than threshold value Eref. In this way, learning towing learning electric power cost ECtl when traveling electric power cost ECd is equal to or greater than threshold value Eref allows towing learning electric power cost ECtl to be learned more appropriately. Towing learning electric power cost ECtl is the electric power cost when electric vehicle 20 is towing a trailer or the like. Therefore, in this embodiment, the threshold value Eref is a threshold value that determines whether to learn the traveling learning electric cost ECdl or to learn the towing learning electric cost ECtl.

[0028] The electronic control unit 60 displays the traveling electric energy consumption ECd, the traveling learning electric energy consumption ECdl, and the towing learning electric energy consumption ECtl on the display 82 as necessary.

[0029] The electronic control unit 60 mounted on the electric vehicle 20 of the embodiment described above calculates the accumulated travel distance Ddrv, the accumulated battery energy consumption value ΣEb, the accumulated air conditioning energy consumption value ΣEac, the accumulated auxiliary equipment energy consumption value ΣEh, and the potential energy change amount ΔPE during a trip. When the trip ends, the electronic control unit 60 calculates the traveling electricity cost ECd based on the accumulated travel distance Ddrv, the accumulated battery energy consumption value ΣEb, the accumulated air conditioning energy consumption value ΣEac, the accumulated auxiliary equipment energy consumption value ΣEh, and the potential energy change amount ΔPE. Because the traveling electricity cost ECd is calculated using the air conditioning energy consumption value ΣEac, the accumulated auxiliary equipment energy consumption value ΣEh, and the potential energy change amount ΔPE, the traveling electricity cost ECd can be calculated more appropriately.

[0030] In the electronic control unit 60 mounted on the electric vehicle 20 of the embodiment, when it is determined that the traveling electric cost ECd is less than the threshold value Eref, the traveling learning electric cost ECdl is learned using the traveling electric cost ECd. This allows the traveling learning electric cost ECdl to be learned more appropriately than when the traveling electric cost ECdl is learned even when it is determined that the traveling electric cost ECd is less than the threshold value Eref. Furthermore, in the electronic control unit 60 of the embodiment, when it is determined that the traveling electric cost ECd is equal to or greater than the threshold value Eref, the traveling learning electric cost ECtl is learned using the traveling electric cost ECd. This allows the towing learning electric cost ECtl to be learned more appropriately.

[0031] In the embodiment, electronic control unit 60 mounted on electric vehicle 20 is configured to learn towing learning electric cost ECtl using traveling electric cost ECd when it determines that traveling electric cost ECd is equal to or greater than threshold value Eref. However, electronic control unit 60 may not learn towing learning electric cost ECtl when it determines that traveling electric cost ECd is equal to or greater than threshold value Eref.

[0032] In the electronic control unit 60 mounted on the electric vehicle 20 of the embodiment, the traveling electric cost ECd, the traveling learning electric cost ECdl, and the towing learning electric cost ECtl are displayed on the display 82 as needed. However, the electronic control unit 60 does not have to display the traveling electric cost ECd, the traveling learning electric cost ECdl, and the towing learning electric cost ECtl on the display 82.

[0033] The correspondence between the main elements of the embodiment and the main elements of the invention described in the "Means for Solving the Problem" section will be explained below. In the embodiment, the motor 22 corresponds to the "motor," the air conditioner 48 corresponds to the "air conditioner," the accessories 46 corresponds to the "accessories," the high-voltage battery 30 corresponds to the "battery," and the electronic control unit 60 corresponds to the "controller."

[0034] The correspondence between the main elements of the embodiments and the main elements of the invention described in the "Means for Solving the Problem" section does not limit the elements of the invention described in the "Means for Solving the Problem" section, because the embodiments are examples for specifically explaining the invention described in the "Means for Solving the Problem" section. In other words, the interpretation of the invention described in the "Means for Solving the Problem" section should be based on the description in that section, and the embodiments are merely specific examples of the invention described in the "Means for Solving the Problem" section.

[0035] Although the embodiments of the present disclosure have been described above, the present disclosure is not limited to these embodiments, and it goes without saying that the present disclosure can be embodied in various forms without departing from the spirit of the present disclosure. [Industrial Applicability]

[0036] The present disclosure is applicable to industries such as the manufacturing of control devices mounted on automobiles. [Explanation of symbols]

[0037] 20 electric vehicle, 22 motor, 24 inverter, 26 drive shaft, 28 differential gear, 29a, 29b drive wheels, 30 high-voltage battery, 31a voltage sensor, 31b current sensor, 32 high-voltage power line, 34 system main relay, 36 capacitor, 36a voltage sensor, 40 low-voltage battery, 42 low-voltage power line, 43 capacitor, 43a voltage sensor, 44 DC / DC converter, 46 auxiliary equipment, 48 air conditioning unit, 60 electronic control unit, 62 CPU, 64 ROM, 66 RAM, 70 start switch, 71 accelerator pedal, 72 accelerator pedal position sensor, 73 brake pedal, 74 brake pedal position sensor, 75 shift lever, 76 shift position sensor, 78 vehicle speed sensor, 80 acceleration sensor, 82 display.

Claims

1. A control device mounted on a vehicle together with a driving motor, an air conditioning device for air-conditioning a passenger compartment, accessories, and a battery for supplying power to the motor, the air conditioning device, and the accessories, The control device (A) at the end of the trip, calculating a traveling electric cost based on an integrated value of energy consumption of the battery during the trip, an integrated value of distance traveled, an integrated value of energy consumption by an air conditioner, an integrated value of energy consumption by an auxiliary device, and an amount of change in position energy of the vehicle; (B) when the traveling electric power consumption is less than a threshold value, the traveling electric power consumption is used to learn a traveling learning electric power consumption; A control device characterized by:

2. The control device according to claim 1, When the traveling electric power consumption is equal to or greater than the threshold value, the control device learns the traction learning electric power consumption using the traveling electric power consumption. Control device.

3. 3. The control device according to claim 1 or 2, the control device calculates the integrated energy consumption value of the battery by subtracting the integrated energy consumption value of the air conditioner, the integrated energy consumption value of the auxiliary equipment, and the amount of change in potential energy from the integrated energy consumption value of the battery, and dividing the result by an integrated traveling distance. Control device.

Citation Information

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