JP3933056B2 - Hybrid vehicle drive control system - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a drive control system for a hybrid vehicle.
[0002]
[Prior art]
2. Description of the Related Art Conventionally, hybrid vehicles using an engine such as an internal combustion engine and a motor such as an AC motor that rotates by electric power supplied from a power storage means such as a battery (secondary battery such as a storage battery) as a power source for the vehicle have been provided. . In the hybrid vehicle, the AC motor, which is the power source, functions as a generator when the vehicle is decelerating. When the so-called regenerative current is generated, the regenerative current is supplied to the battery during the deceleration operation of the vehicle. Supplied and the battery is recharged. Therefore, when the battery is constantly charged and the engine output alone does not satisfy the required output, etc., the current is automatically supplied from the battery to the motor via the inverter. The vehicle can travel stably in various travel modes. Further, the fuel consumed by the engine can be reduced.
[0003]
In order to reduce the fuel consumed by the engine as much as possible, a technique for setting an operation schedule of the engine and the motor so as to minimize the fuel consumption according to the road condition of the route to the destination is proposed. (For example, refer to Patent Documents 1 and 2.) In this case, the route to the destination is divided into a plurality of sections, road data and travel history are obtained from the navigation device to estimate the vehicle speed pattern for each section, the estimated vehicle speed pattern and the fuel consumption characteristics of the engine Based on this, the engine and motor operation schedules are set so that the fuel consumption to the destination is minimized.
[0004]
[Patent Document 1]
JP 2000-333305 A
[0005]
[Patent Document 2]
JP 2001-183150 A
[0006]
[Problems to be solved by the invention]
However, in the conventional hybrid vehicle drive control system, the travel data for each road type and the travel data for each intersection, which are static elements, are acquired as a travel history from the navigation device. Therefore, it is impossible to predict a driving pattern that sufficiently reflects the driving characteristics of the driver on a road that repeatedly travels for commuting, attending school, and the like, and an appropriate driving schedule cannot be set. Therefore, the fuel consumption of the hybrid vehicle cannot be sufficiently reduced.
[0007]
The present invention solves the problems of the conventional hybrid vehicle drive control system, predicts a driving pattern that sufficiently reflects the driving characteristics of the driver, and can set an appropriate driving schedule. An object of the present invention is to provide a drive control system for a hybrid vehicle that can sufficiently reduce consumption.
[0008]
[Means for Solving the Problems]
Therefore, in the hybrid vehicle drive control system of the present invention, route setting means for setting a route to the destination, and the set route A plurality of travel patterns for each travel environment information for one route are created for the route created based on the speed when traveling Storage processing means for Selection for selecting a driving pattern corresponding to the current driving environment from a plurality of driving patterns stored for each driving environment information for the one route Means, Selected when traveling on the set route Control means for setting an operation schedule of the engine and the motor based on the running pattern and controlling the operation of the engine and the motor according to the set operation schedule.
[0009]
In another hybrid vehicle drive control system of the present invention, The route setting means automatically sets the route to the destination based on the current driving environment. Set.
[0010]
In still another hybrid vehicle drive control system of the present invention, The storage processing means stores a plurality of driving patterns for each driving environment information for a plurality of routes, and the route setting means selects the destination by selecting from the plurality of recorded routes. Route to Set.
[0011]
In still another hybrid vehicle drive control system of the present invention, The storage processing means stores a plurality of travel patterns for each travel environment information for a plurality of routes, and the route setting means selects a destination from a plurality of recorded routes based on the current travel environment. Automatically select the route to To do.
[0012]
In still another hybrid vehicle drive control system of the present invention, Current Driving environment information Engine start time or driver seating time It is.
[0013]
In still another hybrid vehicle drive control system of the present invention, Driving environment information Is at least one of time, date, day of the week, weather or event.
[0014]
In still another hybrid vehicle drive control system of the present invention, the storage processing means stores and statistically processes a traveling pattern for a predetermined period.
[0015]
In still another hybrid vehicle drive control system of the present invention, the control means further includes: When the actual SOC of the vehicle is detected during traveling and the difference between the detected actual SOC and the SOC included in the driving schedule exceeds a threshold, the vehicle's current position to the destination Driving schedule resetting To do.
[0016]
In still another hybrid vehicle drive control system of the present invention, the control means resets the driving schedule based on the navigation information when the vehicle deviates from the set route.
[0017]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
[0018]
FIG. 1 is a conceptual diagram showing a configuration of a drive control system for a hybrid vehicle in the embodiment of the present invention, and FIG. 2 is a diagram showing an example of a drive control table for the hybrid vehicle in the embodiment of the present invention.
[0019]
In FIG. 1, 10 is a drive control system for a hybrid vehicle in the present embodiment, and 20 is a drive device for the hybrid vehicle in the present embodiment. Here, reference numeral 21 denotes an engine such as an internal combustion engine driven by fuel such as gasoline or light oil, which includes an engine control device such as an ECU (not shown) and is used as a power source for vehicles such as passenger cars, buses and trucks. . The driving force of the engine 21 is transmitted to a driving force transmission device 25 including a transmission, a driving shaft, driving wheels, and the like (not shown), and the vehicle is driven by the rotation of the driving wheels. The driving force transmission device 25 may be provided with a braking device such as a drum brake or a disc brake.
[0020]
Here, the vehicle is a hybrid vehicle, and includes a motor 24 such as an AC motor that is rotated by electric power. The engine 21 and the motor 24 are used in combination as a power source for the vehicle. The motor 24 generates a driving force by the electric power supplied from the battery 23 as the power storage means, and the driving force is transmitted to the driving wheels of the driving force transmission device 25. In addition, a generator 22 such as an AC generator is connected to the driving force transmission device 25 so as to generate a regenerative current when the vehicle is decelerated. The regenerative current generated by the generator 22 is supplied to the battery 23, and the battery 23 is charged. In addition, a current can be generated in the generator 22 by the driving force of the engine 21. The motor 24 is preferably an AC motor, and in this case, includes an inverter (not shown). Similarly, the generator 22 is preferably an AC generator, and in this case, includes an inverter (not shown). Further, the battery 23 includes a capacity detection sensor (not shown) for detecting a state of charge (SOC) that is a charged amount.
[0021]
The motor 24 may be integrated with the generator 22. In this case, the motor 24 generates a driving force when electric power is supplied from the battery 23 and functions as a power source. When the motor 24 is rotated by the driving force transmission device 25 such as when the vehicle is braked, the motor 24 is regenerated. It functions as a generator 22 that generates current.
[0022]
The battery 23 is a secondary battery as a power storage means that can be repeatedly charged and discharged, and is generally a lead storage battery, a nickel cadmium battery, a nickel hydrogen battery, or the like. A performance lead acid battery, a lithium ion battery, a sodium sulfur battery, etc. may be sufficient. Note that the power storage means does not necessarily have to be the battery 23, and the energy is electrically stored and discharged, such as a capacitor (capacitor) such as an electric double layer capacitor, a flywheel, a superconducting coil, a pressure accumulator, or the like. Any form may be used as long as it has a function to perform. Furthermore, any of these may be used alone, or a plurality of them may be used in combination. For example, the battery 23 and the electric double layer capacitor can be combined and used as a power storage means.
[0023]
Reference numeral 26 denotes a main control device, which is a type of computer (not shown) including a calculation means such as a CPU and an MPU, a storage means such as a semiconductor memory and a magnetic disk, a communication interface, and the like. Based on signals from various sensors of the sensor and travel data acquisition unit 14, the operation of the engine 21, the engine control device, the motor 24, the generator 22, and the inverter is controlled. Here, the sensor is an accelerator sensor, a brake sensor, or the like, and detects information related to the operation of the driver of the vehicle and transmits it to the main controller 26.
[0024]
The main control device 26 normally controls the usage ratio of the engine 21 and the motor 24 according to the traveling pattern of the vehicle, for example, as shown in FIG. In this case, the output when the vehicle is running is set to 100 [%], that is, the outputs of both the engine 21 and the motor 24 are set to 100 [%]. For example, on an uphill road of +8 [%] or more, the engine 21 has a 20% usage ratio in which the motor 24 is in full output with respect to an 80 [%] usage ratio in the total output of the vehicle. Alternatively, the motor 24 may be set to a 30 [%] usage ratio in the total output of the vehicle with respect to a 70 [%] usage ratio in the total output. Further, the set value is an example, and other values may be set. Note that the usage ratios shown in FIG. 2 are merely examples, and the values shown in the columns of the uphill road or downhill road, the vehicle speed, the engine, and the motor can be changed as appropriate. Furthermore, it is possible to set the ratio of use of the engine 21 and the motor 24 with respect to the total output when the vehicle is running, using a table that is completely different from that shown in FIG.
[0025]
In FIG. 1, reference numeral 12 denotes a navigation database in which navigation information is stored as data used for navigation processing in a normal navigation device such as map data, road data, and search data. Reference numeral 13 denotes road altitude and slope. (Trade) A road gradient database 15 in which data such as distribution is stored, 15 is a traveling environment information acquisition unit that acquires data relating to the traveling environment of the vehicle such as time, date and time, traffic jam information, and weather information. The travel data acquisition unit 14 includes various sensors, acquires data related to the vehicle travel state such as the vehicle speed, the brake operation state, and the accelerator opening, and the travel pattern prediction unit 11 includes a CPU (not shown). It is a kind of computer equipped with a computing means such as an MPU, a storage means such as a semiconductor memory and a magnetic disk, a communication interface, and the like. From the navigation database 12, road gradient database 13, traveling data acquisition unit 14 and traveling environment information acquisition unit 15 Data is acquired, navigation processing such as display of the current position of the vehicle and route search to the destination is executed, and driving pattern prediction processing for predicting a driving pattern reflecting the driving characteristics of the driver is executed. The travel pattern prediction unit 11 includes an operation unit (not shown), a push button, a jog dial, a cross key, a remote controller, an input unit, a CRT display, a liquid crystal display, an LED (Light Emitting Diode) display, a plasma display, a windshield. A display unit including a hologram device or the like for projecting a hologram on the screen, a voice input unit including a microphone, a voice synthesizer, a voice output unit including a speaker, an FM transmitter, a telephone line network, the Internet, a mobile phone network It is desirable to have a communication unit that transmits and receives various data to and from the other.
[0026]
The navigation database 12 includes a database composed of various data files. In addition to search data for searching for a route, the navigation database 12 displays a guide map along the searched route on the screen of the display unit. Map data to display characteristic photographs, frame diagrams, etc. at intersections or routes, distance to the next intersection, direction of travel at the next intersection, and other guidance information Record various data such as facility data. In the navigation database 12, various data for outputting predetermined information by the voice output unit is also recorded.
[0027]
Here, the search data includes intersection data, road data, traffic regulation data, and route display data. In the intersection data, in addition to the number of intersections in which data is stored, data relating to each intersection is assigned with a number for identification as intersection data. Further, each intersection data is stored with a number for identifying each connection road in addition to the number of roads connected to the corresponding intersection, that is, the number of connection roads. The intersection data may include the type of the intersection, that is, whether the intersection is a traffic signal lamp or an intersection where no traffic signal lamp is installed. .
[0028]
In addition to the number of roads in which the data is stored, the road data is stored with data relating to each road assigned with a number for identification as road data. Each road data stores a road type, a distance as a length of each road, a travel time as a time required for traveling on each road, and the like. Further, the road type includes administrative road attributes such as a national road, a prefectural road, a main local road, a general road, and an expressway.
[0029]
The road data includes the width, gradient, cant, altitude, bank, road surface condition, whether or not there is a median strip, the number of road lanes, the point where the number of lanes decreases, the width of the road data. It is desirable to include data such as narrowing points. In the case of an expressway or a main road, each of the lanes in the opposite direction is stored as separate road data and processed as a double road. For example, in the case of a trunk road with two or more lanes on one side, it is processed as a two-way road, and the upward lane and the downward lane are stored in the road data as independent roads. Further, for corners, it is desirable to include data such as radii of curvature, intersections, T-junctions, and corner entrances. Road attributes such as railroad crossings, expressway entrance / exit rampways, expressway toll gates, downhill roads, and uphill roads may also be included.
[0030]
The road gradient database 13 is calculated on the basis of elevation data such as contour lines published by the Geospatial Information Authority of Japan, mesh elevation data of 50 [m] mesh, and mesh elevation data of 10 [m] mesh. Stores altitude and gradient data at each node point. In addition, it is desirable that the data includes data on structures such as tunnels and bridges for which design data regarding altitude and slope, actual measurement data, and the like are available.
[0031]
The data stored in the navigation database 12 and the road gradient database 13 is stored in storage means such as a semiconductor memory or a magnetic disk. The storage means includes all forms of storage media such as magnetic tape, magnetic disk, magnetic drum, flash memory, CD-ROM, MD, DVD-ROM, optical disk, MO, IC card, optical card, memory card, etc. It is also possible to use a removable external storage medium.
[0032]
The travel data acquisition unit 14 includes a GPS sensor that receives GPS information from a GPS (Global Positioning System) satellite, an azimuth sensor that detects a direction in which the vehicle is facing, an accelerator opening sensor that detects an accelerator opening, Brake switch for detecting the movement of the brake pedal operated by the driver, steering sensor for detecting the steering angle of the steering operated by the driver, the winker sensor for detecting the movement of the winker switch operated by the driver, the driver A shift lever sensor that detects the movement of the shift lever of the transmission operated by the vehicle, a vehicle speed sensor that detects the vehicle speed, that is, a vehicle speed sensor, an acceleration sensor that detects the vehicle acceleration, and a change in the direction in which the vehicle is facing A yaw rate sensor for detecting the yaw rate is included. The travel data includes the current position of the vehicle, the accelerator opening, the movement of the brake pedal operated by the driver, the steering angle of the steering operated by the driver, the movement of the blinker switch operated by the driver, and the driver operating It includes the movement of the shift lever of the transmission, the vehicle speed, the acceleration of the vehicle, the yaw rate indicating the change in the direction the vehicle is facing, and the like.
[0033]
The travel environment information acquisition unit 15 includes a clock, a calendar, and the like, and stores date and time information such as the current time, date, day of the week, and date and time the vehicle departed. In addition, the travel environment information acquisition unit 15 collects information on traffic control systems such as the police and the Japan Highway Public Corporation in a road traffic information communication system called VICS® (Vehicle Information & Communication System), for example. Road traffic information such as information on traffic jams, traffic regulation information, construction information on road construction, etc., created and stored. In addition, the travel environment information acquisition unit 15 is configured to provide information on events such as festivals, parades, fireworks displays, and other event information such as scheduled date and time, such as roads around stations and large commercial facilities, except for weekends. It is possible to acquire and store statistical traffic information such as traffic jams occurring at specific times, traffic jams occurring during summer holidays, and weather information such as weather forecasts created by the Japan Meteorological Agency. desirable. The travel environment information as information on the environment in which the vehicle travels stored in the travel environment information acquisition unit 15 includes the current time, date, day of the week, date and time the vehicle departed, weather, traffic congestion information, and traffic regulation information. , Road construction information, event information, etc.
[0034]
In the hybrid vehicle drive control system 10 according to the present embodiment, when the travel pattern prediction unit 11 executes a travel pattern prediction process to predict a travel pattern, the main control device 26 uses an engine based on the travel pattern. The usage ratio schedule between the motor 21 and the motor 24 is set, and the operating states of the engine 21 and the motor 24 and the SOC of the battery 23 are controlled according to the schedule. From the viewpoint of function, the hybrid vehicle drive control system 10 includes route setting means, storage processing means, prediction means, and control means. Here, the route setting means sets a route to the destination, and the traveling pattern prediction unit 11 corresponds to the route setting unit. The storage processing means stores travel data and travel environment information of the set route and statistically processes them, and the travel pattern prediction unit 11 corresponds to the storage processing means. Further, the predicting means predicts the travel pattern of the set route based on the current travel environment information and the stored travel data, and the travel pattern prediction unit 11 corresponds. Further, the control means sets an operation schedule of the engine 21 and the motor 24 based on the predicted traveling pattern, and controls the operation of the engine 21 and the motor 24 according to the set operation schedule. 26 corresponds.
[0035]
Next, the basic concept of the travel pattern prediction process will be described.
[0036]
FIG. 3 is a diagram showing a concept of a running pattern in the embodiment of the present invention, FIG. 4 is a diagram showing a concept for analyzing the running pattern in the embodiment of the present invention, and FIG. 5 is a diagram in the embodiment of the present invention. FIG. 6 is a diagram showing an example of a running pattern, and FIG. 6 is a diagram showing an example of fluctuations in the running pattern in the embodiment of the present invention.
[0037]
In general, in a hybrid vehicle, vehicle travel control is performed so as to meet a real-time driver's request for driving operation and a request for power storage means. However, in general travel control of a hybrid vehicle, there are the following problems (1) to (8).
(1) In a travel pattern in which the vehicle immediately stops after acceleration or a travel pattern in which acceleration / deceleration is frequently performed, the engine is frequently turned on and off, resulting in poor travel efficiency.
(2) The engine may be operating even when the amount of power stored in the battery is large and the power required to drive the vehicle is small.
(3) The engine may be operating even when the energy required to drive the vehicle from start to stop is small.
(4) Even when the power required to drive the vehicle is low, such as during traffic jams or low-speed driving, the engine operates to generate current by the generator when the battery charge is low. Have
(5) Even when a regenerative current is generated during downhill or deceleration, regeneration may not be possible depending on the SOC management range of the battery.
(6) When the engine is operating when the energy required to run the vehicle is small as in steady running, the generator generates current, but depending on the SOC management range of the battery, It may not be possible to store electricity.
(7) The engine may be operating even during deceleration or just before stopping.
(8) In summer and the like, the engine may be operating to operate the air conditioner even when it is stopped.
[0038]
In order to solve such a problem, a road shape and a traveling pattern ahead in the route are predicted, a schedule for efficiently traveling on the route is set, and the engine 21 and the motor 24 are operated according to the schedule. It is necessary to control the state and the SOC of the battery 23. Therefore, in the present embodiment, by analyzing the traveling pattern when traveling on a route that travels regularly for commuting, attending school, shopping, etc., and predicting the traveling pattern in advance in consideration of the fluctuation factors A driving schedule for efficiently traveling on the route is set.
[0039]
In this case, the route that travels steadily is, for example, a fixed route that travels almost every day, such as a commuting route, but the frequency of travel does not have to be every day, and may be every other day. It may be about once a week or may not be regular and can be determined as appropriate. In addition, the time zone in which the route travels regularly may be substantially constant, for example, in the morning commute time zone, or may vary daily such as the return commute time zone. Also good. The length of the route that travels constantly may be as short as 2 to 3 [km] or as long as 100 [km], for example. It is assumed that the route that travels constantly is grasped as a separate route for the forward route and the return route.
[0040]
And, as shown in FIG. 3, the traveling pattern when traveling on the steady traveling route is influenced by the basic traveling portion as a substantially constant basic portion every time and the fluctuation factor, and each time the vehicle travels. It can be considered that it consists of a variable travel part as a part that fluctuates. In FIG. 3, the horizontal axis indicates the number of days, and the vertical axis indicates the time required for the steady traveling route.
[0041]
In this case, for example, weather, time zone, day of the week, settlement date, end of term, etc. can be considered as the fluctuation factors affecting the running pattern. In the case of the weather, generally, rainy weather has the effect of slowing the flow of traffic and increasing the required time even on the same route. In the case of the time zone, the commuting time zone in the morning and evening has the effect that the required time becomes longer due to traffic jams, and the required time becomes shorter in the middle of the night because the traffic volume is small. Further, in the case of a day of the week, there is an effect that the required time is shortened because the traffic volume is small on Sunday. The settlement date is a day such as fifty days or a miso day that is generally set as an accounting deadline for transactions in general, and the end of the term is generally a settlement period. It is a period such as the end of March or the end of the year. Furthermore, sudden traffic accidents, unexplained traffic jams, festivals, demonstrations, temporary closures due to firefighting, etc., road closures, etc. It can be considered as a fluctuation factor that causes accidental fluctuations and short-term fluctuations.
[0042]
In addition, the basic traveling unit may vary in the long run. For example, when the traffic volume in the region increases as a whole due to an increase in the population, the required time gradually increases. Further, when a road is newly established or amplified, it becomes a factor of step variation, and as shown in FIG. 3, the required time is shortened stepwise and continuously. As described above, the variation factor includes a short-term variation factor that causes the variation as the variation traveling unit and a long-term variation factor that varies the basic traveling unit.
[0043]
Since the variation factor is a kind of travel environment information, a travel pattern for traveling on the steady travel route is determined in advance based on the travel environment information stored in the travel environment information acquisition unit 15. Can be predicted. In the present embodiment, the traveling pattern in the case of traveling on a route that travels constantly is analyzed as shown in FIG.
[0044]
In this case, the travel data and travel environment information acquired from the travel data acquisition unit 14 and the travel environment information acquisition unit 15 are accumulated for how many days (n days). Note that n is a natural number and can be set as appropriate. Then, the accumulated n-day driving environment information is classified into three types: daily, non-daily, and short-term or long-term information. Subsequently, from the viewpoint of the magnitude of the fluctuation given to the travel pattern, the daily thing is classified into a small fluctuation and a relatively large fluctuation. Note that extraordinary things and those that last for a short period or for a long period of time can be considered to have large fluctuations. The traveling environment information that is daily and has little fluctuation includes departure time, day of the week, date, and the like. Further, the driving environment information that is daily and relatively fluctuating includes weather such as rain, holidays on the day of the week, and the like. Furthermore, the travel environment information as an extraordinary thing includes the event date that is the day when the event is performed, and the travel environment information as a thing that continues for a short period or a long period of time includes a change of the departure time, etc. Is included.
[0045]
The travel environment information that is daily and has a small fluctuation corresponds to the basic travel as a basic pattern in the travel pattern when traveling on a steady travel route. Also, the driving environment information that is daily and relatively fluctuating corresponds to rain running, holidays running, etc. as special patterns in the driving pattern. Furthermore, the driving environment information as an extraordinary thing corresponds to the event day running as a special pattern in the driving pattern, and the driving environment information as a thing that continues for a short period or a long period of time is a short period or a long period. Corresponds to the basic driving after the period variation continues.
[0046]
In FIG. 5, a predetermined commute route is set as a route that travels steadily, and based on the results of measuring the required time for traveling the route over almost six weeks (42 days). The created travel pattern is shown. In FIG. 5, a thick line indicates basic running as a basic pattern in the running pattern. Also, ◆ indicates fluctuations corresponding to driving environment information that is daily and small fluctuation, and ■ corresponds to driving environment information that is daily and relatively large fluctuation. Indicates fluctuations, ▲ indicates fluctuations corresponding to driving environment information that is extraordinary and has a large fluctuation, ● indicates fluctuations corresponding to driving environment information as being short-term or long-term Yes.
[0047]
FIG. 6 shows a travel pattern created based on the result of measuring a change in speed when a predetermined commute route is set as a route that travels constantly and travels along the route. In FIG. 6, the solid line indicates a basic run as a basic pattern, the dotted line indicates a rain run as a special pattern, and the alternate long and short dash line indicates a holiday run as a special pattern.
[0048]
Next, the operation of the drive control system 10 of the hybrid vehicle having the above configuration will be described. First, the overall flow of the operation will be described.
[0049]
FIG. 7 is a flowchart showing the operation of the drive control system for the hybrid vehicle in the embodiment of the present invention.
[0050]
First, the traveling pattern prediction unit 11 sets a route to the destination. Here, when traveling for the first time, that is, for the first time, the driver operates the input unit including the operation key, push button, jog dial, cross key, remote controller and the like of the traveling pattern prediction unit 11 to Enter. In this case, the travel pattern prediction unit 11 functions as a navigation device, accesses the navigation database 12, searches for a route to the destination, and sets the route as a route for steady travel.
[0051]
The travel pattern prediction unit 11 accesses the navigation database 12 and the road gradient database 13 to acquire road data, intersection data, gradient data, and the like of the set route, and the travel pattern based on the acquired data. Predict. The road data and intersection data for predicting the running pattern include data on road type, radius of curvature, width, presence / absence of traffic signal lamps, intersections, intervals of traffic signal lamps, railroad crossings, bridges, and the like. The gradient data is a gradient of each node point on the road estimated by calculation based on mesh elevation data of 50 [m] mesh or the like. Note that elevation data of each node point may be included. In the case of a hybrid vehicle, since it has a battery 23, the data relating to the road gradient is used to recover the regenerative current generated when descending without waste or to set a schedule for the usage ratio of the engine 21 and the motor 24 during climbing. Is important to. In the present embodiment, the travel pattern prediction unit 11 predicts the travel pattern with high accuracy by using the slope data in addition to the road data and the intersection data of the set route, and the engine 21 and the motor The operation schedule as a usage ratio schedule with 24 can be set with high accuracy.
[0052]
In addition, if the travel to the destination is not the first time, that is, if it is the second time or later, the route to the destination is automatically set as a route that travels constantly without being searched. . In this case, the route to the destination is stored in advance in the storage means of the travel pattern prediction unit 11 as a route that regularly travels for commuting, attending school, shopping, etc. Various routes are automatically selected and set by selecting switches and modes such as a commuting route, a school route, and a shopping route. In addition, when the date and day of the week on which the route is traveled are determined in advance, such as the attendance date and school attendance date in the case of commuting or attending school, the travel pattern prediction unit 11 automatically selects various routes based on the date and day of the week. May be selected and set as desired. Further, the travel pattern prediction unit 11 acquires the start time of the engine 21 and the seating time of the driver in the driver's seat, and automatically selects and sets various routes in comparison with past travel pattern data. You may make it do.
[0053]
Then, assuming that the travel to the destination is the second time or later, when the route for steady travel is set, the travel pattern is subsequently analyzed. In this case, the travel pattern prediction unit 11 accumulates the travel data and travel environment information acquired from the travel data acquisition unit 14 and the travel environment information acquisition unit 15 for n days after the second day. Note that n may be any number, but is preferably about 7 to 30 from the viewpoint of the storage capacity of the storage unit of the travel pattern prediction unit 11, the processing load of the travel pattern prediction unit 11, and the like. That is, it is desirable to analyze the driving pattern based on the accumulated driving data and driving environment information for about one week to one month.
[0054]
In this case, the travel data acquired from the travel data acquisition unit 14 includes the current position of the vehicle, the accelerator opening, the movement of the brake pedal operated by the driver, the steering angle of the steering operated by the driver, the vehicle speed, and the like. It is. In addition, the travel environment information acquired from the travel environment information acquisition unit 15 includes departure time, day of the week, date, etc., which are everyday and have small fluctuations, and weather, etc., has relatively large fluctuations. The event date is included as an extraordinary event, and the change of the departure time is included as a short-term event or a long-term event.
[0055]
Then, the traveling pattern predicting unit 11 analyzes a traveling pattern in the case of traveling on a steady traveling route according to an analysis method as shown in FIG. The method of analysis as shown in FIG. 4 is an example, and the travel pattern prediction unit 11 may analyze the travel pattern according to any analysis method. The analyzed traveling pattern can be expressed as shown in FIG. 5 or FIG. 6, but can be expressed by any method. In general, representative characteristics representing a running pattern include elapsed time to a destination, average speed, fuel consumption, and the like.
[0056]
As shown in FIG. 4, the correlation between the driving pattern and the driving environment information is performed by classifying the driving data and driving environment information for n days based on the frequency of occurrence, the magnitude of the fluctuation, the way of the fluctuation, and the like. Therefore, it is possible to predict a travel pattern corresponding to the travel environment information. In other words, the driving environment information that is daily and has a small fluctuation corresponds to the basic driving as a basic pattern in the driving pattern, and the driving environment information that is daily and has a relatively large fluctuation. The running on the event day as a special pattern in the running pattern corresponds, and the running environment information that lasts for a short period or for a long period corresponds to the basic running after the short-term or long-term fluctuation continues.
[0057]
Even in a conventional hybrid vehicle, a travel pattern is predicted based on road information, travel history, time, and the like acquired from a navigation device. However, in the conventional hybrid vehicle, it is not considered to predict a travel pattern on a route that travels constantly. Further, it does not take into consideration that the average traveling pattern in the route that travels constantly fluctuates with time or changes according to traveling environment information.
[0058]
On the other hand, in the hybrid vehicle drive control system 10 of the present embodiment, a traveling pattern on a route that travels constantly is predicted. In this case, since the traveling pattern on the route that travels steadily is repeated, the prediction accuracy increases. Therefore, if the schedule for controlling the operating states of the engine 21 and the motor 24 and the SOC of the battery 23 is set based on the predicted driving pattern, an efficient driving schedule can be obtained and the fuel consumption can be sufficiently increased. Can be reduced.
[0059]
Further, the travel pattern prediction unit 11 corrects the travel pattern predicted according to the traffic situation during travel to obtain a travel pattern corresponding to the change. In the present embodiment, the traveling environment information acquisition unit 15 acquires road traffic information such as information related to road traffic congestion, traffic regulation information, construction information related to road construction, and the like. It is possible to obtain environmental information in real time as a fluctuation factor that causes accidental fluctuations and short-term fluctuations in driving patterns such as accidents and accidents. When the travel pattern predicting unit 11 acquires environment information as a fluctuation factor causing an accidental change or a short-term change from the travel environment information acquiring unit 15, the travel pattern predicting unit 11 corrects the already predicted travel pattern.
[0060]
Subsequently, when the main control device 26 acquires the corrected travel pattern from the travel pattern prediction unit 11, the operation for controlling the operating state of the engine 21 and the motor 24 and the SOC of the battery 23 based on the travel pattern. A scheduling process for setting a schedule is executed. When the operation schedule is set, the main control device 26 controls the operations of the engine 21, the engine control device, the motor 24, the generator 22, and the inverter according to the operation schedule, and executes a traveling process for traveling the vehicle. .
[0061]
Then, the travel pattern prediction unit 11 acquires travel data and travel environment information during travel on the steady travel route from the travel data acquisition unit 14 and the travel environment information acquisition unit 15 and stores them in the storage unit. Data recording is performed. That is, the route travel data and travel environment information are stored and statistically processed. In this case, the travel pattern prediction unit 11 as a storage processing unit also stores a travel pattern for a predetermined period and stores it statistically. As a result, since the latest travel data, travel environment information, and travel patterns can be accumulated and statistically processed, it is possible to predict a travel pattern based on the latest travel data and travel environment information next time. it can. Further, it is determined whether or not the travel pattern created based on the travel data and travel environment information acquired this time corresponds to any of the patterns shown in FIG. And when it does not correspond, it accumulates as a new run pattern. If applicable, it is not accumulated.
[0062]
Next, a flowchart will be described.
Step S1: A route is set.
Step S2: It is determined whether it is the first time. If it is the first time, the process proceeds to step S9, and if it is not the first time, the process proceeds to step S3.
Step S3 The travel pattern is analyzed.
Step S4 A travel pattern is predicted.
Step S5 The travel pattern is corrected.
Step S6: A scheduling process is executed.
Step S7 The travel process is executed.
Step S8: Data recording is performed.
Step S9: Data such as road data and intersection data is acquired.
Step S10: Gradient data is acquired.
Step S11 The travel pattern is corrected according to the traffic situation during travel.
[0063]
Next, the operation of the scheduling process will be described.
[0064]
8 is a first diagram showing an example of a set schedule in the embodiment of the present invention, FIG. 9 is a second diagram showing an example of a set schedule in the embodiment of the present invention, and FIG. It is a flowchart which shows the subroutine of the scheduling process in embodiment of invention.
[0065]
When the main control device 26 starts a scheduling process for setting an operation schedule for controlling the operation states of the engine 21 and the motor 24 and the SOC of the battery 23, first, the main control device 26 obtains a travel pattern created by the travel pattern prediction unit 11. To do. Subsequently, the main control device 26 acquires the current SOC detected by the capacity detection sensor of the battery 23. In this case, since the scheduling process is performed immediately before traveling on a route that travels constantly, the current SOC is the SOC at the departure point of the route.
[0066]
Subsequently, the main controller 26 sets the SOC at the destination of the route. In this case, the SOC at the destination is, for example, the same value as the SOC at the departure point of the route, but can be arbitrarily set as long as it is within the SOC management range.
[0067]
By the way, also in the drive control system 10 of the hybrid vehicle of this Embodiment, the management width | variety of SOC which is the electrical storage amount of the battery 23 is set beforehand similarly to a normal hybrid vehicle, and the said SOC is in the said management width | variety. The driving schedule is set so that it fits in. As in the case of a normal battery, the battery 23 has a voltage-current characteristic that varies depending on the SOC, and the life of the battery 23 is shortened if the SOC is too large or too small. For example, when overcharged, the battery 23 may be destroyed. Therefore, for example, the management width set in advance is set so that the maximum value is about 60% and the minimum value is about 40%, and control is performed so that the SOC of the battery 23 does not exceed the management width. Is done.
[0068]
However, if the management width is fixed, if there are many opportunities for the generator 22 to generate a regenerative current, such as a long downhill, the regenerative current cannot be sufficiently collected in the battery 23 and is wasted. Therefore, although the generator 22 has many opportunities to generate a regenerative current, the fuel consumption cannot be sufficiently reduced.
[0069]
Therefore, the main control device 26 adjusts the upper limit value or the lower limit value of the management width and widens the management width as necessary, so that the SOC does not exceed the management width and the regenerative current is sufficiently increased. An efficient operation schedule is set so that the fuel can be collected by the battery 23 and the fuel consumption can be sufficiently reduced. That is, based on the predicted traveling pattern, an operation schedule that minimizes the fuel consumption of the engine 21 is set.
[0070]
Subsequently, the main control device 26 sets an operation schedule for controlling the drive distribution of the engine 21 and the motor 24 and the SOC of the battery 23 according to the acquired traveling pattern. Here, the drive distribution refers to how the usage ratio of the engine 21 and the motor 24 is driven to drive the vehicle. Then, it is determined whether or not there is an abnormality in the set operation schedule. Here, the abnormality is that the SOC value of the destination included in the set operation schedule is different from the initially set value, or the SOC included in the set operation schedule exceeds the management range. It is. If there is an abnormality, the main control device 26 sets the operation schedule again. The fuel consumption amount and the vehicle system information may be included in the driving schedule, and it may be determined whether or not the driving schedule is abnormal based on the fuel consumption amount and the vehicle system information.
[0071]
For example, it is desirable to travel by the motor 24 because the traveling efficiency by the engine 21 is poor in a traffic jam section. Therefore, as shown in FIG. 8A, when the traffic pattern created by the travel pattern prediction unit 11 includes a traffic jam section, that is, when the occurrence of traffic jam is predicted in advance, the main control device 26 Then, an operation schedule is set such that the front of the traffic jam section is set as the regeneration section and the battery 23 is sufficiently charged.
[0072]
Here, when the upper limit value or the lower limit value of the SOC management width is not adjusted, the SOC changes as shown in FIG. That is, since the travel distance by the motor 24 in the traffic jam section is long and the current consumption is large, the engine 21 is operated as indicated by A to prevent the SOC from interrupting the lower limit value, and the generator 22 It is necessary to carry out power generation running that causes power generation to occur. Therefore, the fuel consumption cannot be reduced sufficiently. Further, since the vehicle arrives at the destination immediately after passing the traffic jam section, it cannot sufficiently generate power, and the SOC at the destination cannot be made equal to the SOC at the departure point.
[0073]
On the other hand, when the upper limit value of the SOC management width is adjusted and increased to an appropriate value, the SOC changes as shown in FIG. In this case, since the battery 23 can be sufficiently charged in the regeneration section, the engine 21 is operated as shown by B even if the travel distance by the motor 24 in the traffic congestion section is long and the current consumption is large. The SOC can be kept at an appropriate value without being activated. Therefore, the fuel consumption can be sufficiently reduced. The SOC at the destination can be set equal to the SOC at the departure point.
[0074]
Further, for example, since the efficiency of traveling by the engine 21 is poor even in a section where acceleration / deceleration and start / stop are frequent, it is desirable to travel by the motor 24. Therefore, as shown in FIG. 9 (a), the travel pattern created by the travel pattern prediction unit 11 includes a section in which acceleration / deceleration and start / stop are often included, and a section that can stably travel immediately after the section. Is included, the main control device 26 sets an operation schedule in which the battery 23 is charged by setting the regeneration section after passing through a section where acceleration / deceleration and start / stop are frequent.
[0075]
Here, when the upper limit value or the lower limit value of the SOC management range is not adjusted, the SOC changes as shown in FIG. 9B. That is, since the travel distance by the motor 24 is long and the current consumption is large in the section where acceleration / deceleration and start / stop are frequent, the engine 21 is set as indicated by C in order to prevent the SOC from interrupting the lower limit value. It is necessary to perform power generation running that causes the power generator 22 to generate power. Therefore, the fuel consumption cannot be reduced sufficiently.
[0076]
On the other hand, when the lower limit value of the SOC management width is adjusted and lowered to an appropriate value, the SOC changes as shown in FIG. 9C. In this case, the regenerative current can be collected in the battery 23 by the start point of the regenerative section immediately after the section where acceleration / deceleration and start / stop are frequent. Therefore, since the battery 23 can be sufficiently charged in the regeneration section, even if the travel distance by the motor 24 in the section where acceleration / deceleration and start / stop are large is long and the current consumption is large, as indicated by D, The SOC can be kept within the management range without operating the engine 21. Therefore, the fuel consumption can be sufficiently reduced. Then, in a section immediately after a section where acceleration / deceleration and start / stop are frequent, the battery 23 can be sufficiently charged to recover the SOC. In the example shown in FIG. 9C, the upper limit value of the SOC management width is also increased. However, as in the example shown in FIG. Because it is included. If no congestion section is included in the route, only the lower limit value of the SOC management width needs to be adjusted.
[0077]
As described above, the main control device 26 sets a regenerative section in the predicted traveling pattern, and sets an operation schedule so that the regenerative current can be collected in the battery 23 by the start point of the regenerative section. Therefore, the regenerative current is not wasted. In addition, since the operation schedule is set so that all the regenerative current generated in the regenerative section can be recovered by the battery 23, the fuel consumption can be sufficiently reduced.
[0078]
Next, a flowchart will be described.
Step S6-1: A travel pattern is acquired.
Step S6-2: Obtain the current SOC.
Step S6-3 The destination SOC is set.
Step S6-4: Set an efficient operation schedule.
Step S6-5: It is determined whether or not there is an abnormality. If there is an abnormality, the process returns to step S6-4, and if there is no abnormality, the process ends.
[0079]
Next, the operation of the traveling process will be described.
[0080]
FIG. 11 is a flowchart showing a subroutine of travel processing in the embodiment of the present invention.
[0081]
When the vehicle starts traveling on the route, the main control device 26 controls the operation of the engine 21, the engine control device, the motor 24, the generator 22, and the inverter according to the set operation schedule. In this case, the main control device 26 acquires the SOC detected by the capacity detection sensor of the battery 23, that is, the actual SOC in real time, and compares it with the SOC included in the operation schedule to determine whether there is an abnormality. to decide.
[0082]
Since the traveling pattern when actually traveling on the route is not completely the same as the predicted traveling pattern, it is considered that the actual change in SOC is different from the change in SOC included in the driving schedule. Therefore, when the state in which the difference between the actual SOC and the SOC included in the schedule exceeds a preset threshold (threshold) value continues for a while, the main control device 26 determines that there is an abnormality, and at that time The driving schedule from the current position of the vehicle to the destination is set again. When there is no abnormality, the main control device 26 continues the control according to the operation schedule. Further, even when the actual SOC exceeds the upper limit value or the lower limit value of the management width, it may be determined that there is an abnormality and the operation schedule from the current position of the vehicle to the destination may be set again. When the actual SOC exceeds the upper limit value or the lower limit value of the management width, the operations of the engine 21, the engine control device, the motor 24, the generator 22, and the inverter are controlled so that the SOC returns within the management width. Then, the battery 23 may be charged or discharged from the battery 23.
[0083]
If the state where the current position of the vehicle deviates from the route continues for a while, the main control device 26 determines that the traveling pattern of the vehicle does not correspond to daily traveling environment information, and the navigation database 12 and Navigation information or the like is acquired from the road gradient database 13, and the schedule from the current position of the vehicle to the destination is set again. Furthermore, even when the current position of the vehicle deviates from the route due to a temporary detour or the like, the driving schedule from the current position of the vehicle to the destination is set again. When the current position of the vehicle is not greatly deviated from the route, the main control device 26 is similar to the case where the difference between the actual SOC and the SOC included in the driving schedule is equal to or less than a preset threshold value. Continues control according to the set schedule.
[0084]
Subsequently, the main control device 26 determines whether or not the vehicle has arrived at the destination. If the vehicle has not arrived, the operation described above is repeated.
[0085]
Next, a flowchart will be described.
Step S7-1 The schedule SOC is compared with the actual SOC.
Step S7-2: It is determined whether or not there is an abnormality. If there is an abnormality, the process proceeds to step S7-5, and if there is no abnormality, the process proceeds to step S7-3.
Step S7-3 The control according to the operation schedule is continued.
Step S7-4: It is determined whether or not the destination has been reached. If it has arrived, the process ends. If not, the process returns to step S7-1.
Step S7-5 Set the operation schedule again.
[0086]
As described above, in the present embodiment, the hybrid vehicle drive control system 10 analyzes the travel pattern when traveling on a steady travel route for commuting, attending school, shopping, etc., and considers the variation factors. The driving schedule for efficiently traveling on the route is set by predicting the traveling pattern in advance. And since the operation of the engine 21, the engine control device, the motor 24, the generator 22 and the inverter is controlled according to the operation schedule, the SOC can be maintained appropriately and the fuel consumption of the engine 21 can be sufficiently reduced. can do.
[0087]
The drive control system 10 of the hybrid vehicle adjusts an upper limit value or a lower limit value of the SOC management width when setting a schedule for efficiently traveling on the route, and sets the management width as necessary. Set up an operation schedule. Therefore, an efficient operation schedule can be set so that the regenerative current can be sufficiently collected in the battery 23 and the fuel consumption can be sufficiently reduced while the SOC does not exceed the management range. .
[0088]
Furthermore, the hybrid vehicle drive control system 10 records and accumulates travel data and travel environment information while traveling on the route. Therefore, since the latest driving data and driving environment information can be accumulated, a driving pattern can be predicted based on the latest driving data and driving environment information, and a driving pattern not corresponding to the conventional pattern is new. Is accumulated as a running pattern. Thereby, the prediction accuracy of a running pattern can be improved.
[0089]
In addition, this invention is not limited to the said embodiment, It can change variously based on the meaning of this invention, and does not exclude them from the scope of the present invention.
[0090]
【The invention's effect】
As described above in detail, according to the present invention, a driving pattern that sufficiently reflects the driving characteristics of the driver can be predicted, an appropriate driving schedule can be set, and the fuel consumption of the engine can be sufficiently increased. Can be reduced.
[Brief description of the drawings]
FIG. 1 is a conceptual diagram showing a configuration of a drive control system for a hybrid vehicle in an embodiment of the present invention.
FIG. 2 is a diagram showing an example of a drive control table for a hybrid vehicle in an embodiment of the present invention.
FIG. 3 is a diagram showing a concept of a running pattern in the embodiment of the present invention.
FIG. 4 is a diagram showing a concept for analyzing a running pattern in the embodiment of the present invention.
FIG. 5 is a diagram showing an example of a running pattern in the embodiment of the present invention.
FIG. 6 is a diagram showing an example of fluctuation of a running pattern in the embodiment of the present invention.
FIG. 7 is a flowchart showing an operation of the drive control system for the hybrid vehicle in the embodiment of the present invention.
FIG. 8 is a first diagram illustrating an example of a set schedule according to the embodiment of the present invention.
FIG. 9 is a second diagram showing an example of a set schedule according to the embodiment of the present invention.
FIG. 10 is a flowchart showing a subroutine of scheduling processing in the embodiment of the present invention.
FIG. 11 is a flowchart showing a subroutine of travel processing in the embodiment of the present invention.
[Explanation of symbols]
10 Drive control system for hybrid vehicle
11 Driving pattern prediction unit
21 engine
23 battery
24 motor
26 Main controller

Claims (9)

(A) route setting means for setting a route to the destination;
(B) storage processing means for storing a plurality of travel patterns for each travel environment information for a single route based on the speed when traveling on the set route;
(C) a selection means for selecting a travel pattern corresponding to the current travel environment from a plurality of travel patterns stored for each travel environment information for the one route ;
(D) control means for setting an operation schedule of the engine and the motor based on the selected travel pattern and controlling the operation of the engine and the motor according to the set operation schedule when traveling on the set route ; A drive control system for a hybrid vehicle, comprising: The hybrid vehicle drive control system according to claim 1, wherein the route setting means automatically sets a route to a destination based on a current traveling environment . The storage processing means stores a plurality of driving patterns for each driving environment information for a plurality of routes,
The hybrid vehicle drive control system according to claim 1, wherein the route setting means sets a route to a destination by a driver selecting from a plurality of recorded routes . The storage processing means stores a plurality of driving patterns for each driving environment information for a plurality of routes,
The hybrid vehicle drive control system according to claim 1, wherein the route setting means automatically selects and sets a route from a plurality of recorded routes to a destination based on a current driving environment. . The hybrid vehicle drive control system according to any one of claims 1 to 4, wherein the current travel environment information is an engine start time or a driver's seating time . The travel environment information, time, date, day of week, weather, or event at least one drive control system for a hybrid vehicle according to any one of claims 1 to 4, the. The hybrid vehicle drive control system according to claim 1, wherein the storage processing unit stores and statistically processes a traveling pattern of a predetermined period. The control means detects the actual SOC of the vehicle while traveling, and if the difference between the detected actual SOC and the SOC included in the driving schedule exceeds a threshold, the driving schedule from the current position of the vehicle to the destination is determined. The drive control system for a hybrid vehicle according to claim 1, which is reset . 2. The drive control system for a hybrid vehicle according to claim 1, wherein the control unit resets a driving schedule based on navigation information when the vehicle deviates from a set route.

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