JP4685753B2 - Electric vehicle control simulator and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide control simulation for a hybrid type electric rolling stock. <P>SOLUTION: Power generation of a virtual electric power generator is controlled while executing switching among a "MAX mode", an "OFF mode" and an "SIV mode" in response to an SOC of a battery, when a travel speed is less than the first critical speed V<SB>&theta;1</SB>, when a parameter notch of a virtual rolling stock is "5N" or "4N" of high notch. The power generation is controlled all the time by the "MAX mode", when the travel speed is the first critical speed V<SB>&theta;1</SB>or more, and simulation is carried out to cover deficient electric power from a virtual battery. <P>COPYRIGHT: (C)2008,JPO&amp;INPIT

Description

  The present invention relates to an electric vehicle control simulator for simulating control of an electric vehicle and a program therefor.

  In recent years, electric trains, which are a type of electric car, are provided inside the vehicle to regenerate the generated regenerative power to the overhead line and use it for other train operations in order to effectively use the regenerative power generated during braking. A technique for collecting and reusing a battery such as a secondary battery is widespread.

For example, Patent Document 1 includes a hybrid type in which a generator and a secondary battery that recovers regenerative power are provided, and a main motor rotates and drives wheels based on the power supplied from the generator and the battery. A rail vehicle is disclosed.
JP 2005-198416 A

  By the way, energy saving is one of the major problems in electric vehicles such as hybrid railway vehicles. Specifically, it is a problem of how wasteful power generation can be suppressed by controlling the power generation of the generator.

  The hybrid railway vehicle disclosed in Patent Document 1 partially changes a predetermined driving curve (run curve) according to the speed range of the travel line section, and follows the changed driving curve. By performing power generation control, the time required for travel is shortened. However, the technique disclosed in Patent Document 1 is intended only to shorten the required time, and is not intended to save energy.

  However, it is difficult to clarify the problem of energy saving in an electric vehicle such as a hybrid railway vehicle by an analytical method.

  The present invention has been made in view of the above-described problems, and an object thereof is to realize a control simulation of a hybrid electric vehicle in order to clarify a priori the problem of energy saving.

The first invention for solving the above problems is:
Generator simulation means for simulating a virtual generator (eg, virtual generator 10 of FIG. 1) according to a given control command;
Converter simulating means for simulating a virtual converter (for example, the virtual converter 20 of FIG. 1) that converts electric power generated by the virtual generator into DC power;
Main motor simulation means for simulating a virtual main motor (for example, the virtual main motor 40 of FIG. 1) that is drive-controlled according to a given operation command;
By simulating a virtual inverter (for example, the virtual inverter 30 in FIG. 1) that converts the virtual power converted by the virtual converter into the virtual drive power of the virtual main motor, the virtual simulated by the main motor simulation means Inverter simulation means for calculating the required power required for driving the main motor in reverse calculation;
A battery that simulates a virtual battery (for example, the virtual battery 60 in FIG. 1) that virtually charges and discharges power according to the difference between the virtual power converted by the virtual converter and the required power calculated by the inverter simulation means. Simulation means,
Of the plurality of switching patterns (for example, the switching patterns in FIGS. 7 and 8) set in advance for each traveling speed range and the number of notch steps, the virtual generation control mode switching pattern according to the amount of power stored in the virtual capacitor is the virtual Selection means (for example, CPU 200 in FIG. 2; step A9 in FIG. 9, step B3 in FIG. 10, step C3 in FIG. 11) for selecting a switching pattern corresponding to the current traveling speed and the current number of notch steps by the main motor;
Based on the selected switching pattern, generator control means (for example, FIG. 2) that controls the virtual power generation operation of the virtual generator by the virtual generator simulation means in the power generation control mode according to the current power storage amount of the virtual battery. CPU 200; steps B5 to B31 in FIG. 10, steps C5 to C35 in FIG.
It is an electric vehicle control simulator provided with.

As another invention,
Computer
A generator simulation means for simulating a virtual generator according to a given control command;
Converter simulating means for simulating a virtual converter that converts electric power generated by the virtual generator into DC power;
Main motor simulation means for simulating a virtual main motor driven and controlled in accordance with a given operation command;
By simulating a virtual inverter that converts virtual power converted by the virtual converter into virtual drive power of the virtual main motor, the required power required for driving the virtual main motor simulated by the main motor simulation means is calculated backward. Inverter simulation means
A capacitor simulation means for simulating a virtual capacitor that virtually charges and discharges power according to the difference between the virtual power converted by the virtual converter and the required power calculated by the inverter simulation means;
As a switching pattern of the power generation control mode according to the storage amount of the virtual battery, the current traveling speed and the current number of notch stages by the virtual main motor among a plurality of switching patterns set in advance for each traveling speed range and the number of notch stages. Selection means for selecting a switching pattern corresponding to
A generator control means for controlling a virtual power generation operation of the virtual generator by the virtual generator simulation means in a power generation control mode according to the current power storage amount of the virtual battery based on the selected switching pattern;
It is good also as comprising the program for functioning as.

  According to the first aspect of the present invention, the switching pattern of the power generation control mode of the virtual generator according to the amount of power stored in the virtual capacitor is the current traveling speed and the current number of notch steps of the virtual electric vehicle driven by the virtual main motor. It is selected according to. Then, based on the selected switching pattern, the virtual generator is controlled in the power generation control mode corresponding to the current power storage amount of the virtual battery.

  Since the virtual generator is controlled in the power generation control mode according to the storage amount of the virtual capacitor, for example, when the storage amount of the virtual capacitor is large, the generation of the virtual generator is set to low power generation, and conversely, the storage amount of the virtual capacitor is When the number is small, a control such that the power generation of the virtual generator is set to high power generation is simulated. Therefore, it is possible to realize a control simulation of the hybrid electric vehicle and to confirm whether the control of the virtual generator or the like as described above can actually be realized.

  Further, as a second invention, the electric vehicle control simulator according to the first invention, the amount of electricity stored in the virtual capacitor, the traveling speed by the virtual main motor, the number of notch stages, the power generation control mode of the virtual generator, and You may comprise the electric vehicle control simulator provided with the recording means which records the value in at least 1 control simulation among the fuel consumption by the said virtual generator.

  According to the second aspect of the invention, after the control simulation is performed, the simulation result can be analyzed and examined.

Further, as a third invention, the electric vehicle control device according to the first or second invention,
Based on the current amount of electricity stored in the virtual battery and the maximum generated power of the virtual generator, power shortage detection means (for example, FIG. 2) detects the possibility of power shortage with respect to the required power calculated by the inverter simulation means. CPU 200; provided with step B29) of FIG.
The selection means selects a switching pattern corresponding to the number of steps below the current notch step number (for example, CPU 200 in FIG. 2; step B31 in FIG. 10) according to detection by the power shortage detection unit. May be configured.

  According to the third aspect of the present invention, based on the required power required for driving the virtual motor based on the current number of notches and the traveling speed, the current power storage amount of the virtual battery, and the maximum generated power of the virtual generator, The possibility of occurrence of insufficient power supply is detected. Then, according to the detection of the possibility of occurrence, a switching pattern corresponding to the number of steps below the current number of notch steps is selected.

  Generally, when the number of notch steps decreases, the required power required for driving the electric motor at the same traveling speed decreases. For this reason, when the occurrence of insufficient power supply is predicted, the occurrence of insufficient power supply is effectively prevented by selecting the switching pattern corresponding to the number of stages below the current number of notch stages.

Further, as a fourth invention, the electric vehicle control simulator of the third invention,
The electric power shortage detecting means may constitute an electric vehicle control simulator for detecting the possibility of insufficient power supply for the required power calculated by the inverter simulating means based on the current charged amount of the virtual battery.

  According to the fourth aspect of the invention, the possibility of insufficient power supply with respect to the required power is detected based on the current power storage amount of the virtual battery. In this case, the same effect as that of the third invention is exhibited.

Further, as a fifth invention, the electric vehicle control simulator according to any one of the first to fourth inventions,
The switching pattern includes a maximum power generation mode in which the virtual power generator generates power at a maximum output, an efficiency power generation mode in which the virtual power generator generates power at an optimum efficiency, and power generation to stop power generation according to the amount of power stored in the virtual power storage device You may comprise the electric vehicle control simulator which is the pattern which switches any mode of stop mode.

  According to the fifth aspect of the present invention, the virtual generator generates the maximum power generation mode with the maximum output, the virtual generator generates the optimal power generation mode with the optimum efficiency, and stops the power generation according to the amount of power stored in the virtual capacitor. The power generation control mode is switched to any one of the power generation stop modes.

The sixth invention is the electric vehicle control simulator according to any one of the first to fifth inventions,
In the switching pattern, the mode is switched when the virtual power storage device reaches a predetermined maximum power storage amount and / or a minimum power storage amount, and when the virtual power storage device changes a predetermined amount from the limit power storage amount, An electric vehicle control simulator including a pattern for switching to the mode may be configured.

  According to the sixth aspect of the invention, the power generation control mode is switched when the virtual power storage device reaches a predetermined maximum power storage amount and / or a minimum power storage amount, and a predetermined amount is changed from the limit power storage amount. Sometimes the power generation control mode is switched to the original mode before switching. When switching is determined at one fixed point, control is switched depending on whether or not the value is reached, and frequent switching (hunting) is likely to occur. However, by giving so-called hysteresis to the switching pattern, it can be confirmed by simulation whether or not the virtual motor is being driven stably.

  According to the present invention, control simulation of a hybrid electric vehicle can be realized, and whether or not control of a virtual generator or the like can actually be realized can be confirmed by simulation.

  Hereinafter, an embodiment in which the present invention is applied to a control simulator (hereinafter simply referred to as “control simulator”) of a hybrid railway vehicle which is a kind of electric vehicle will be described with reference to the drawings. However, the application of the present invention is not limited to the following embodiments, and it goes without saying that the present invention may be applied to, for example, a control simulator for an electric vehicle such as an electric vehicle having the same main circuit configuration.

1. Configuration FIG. 1 is a diagram for explaining the concept of the configuration of each virtual device simulated by the control simulator 1 of the present embodiment. The control simulator 1 models the virtual generator 10 that models the operation of the generator, the virtual converter 20 that models the operation of the converter, the virtual inverter 30 that models the operation of the inverter, and the operation of the main motor. Each virtual device of the virtual main motor 40, the virtual auxiliary power supply 50 that models the operation of the auxiliary power supply, and the virtual battery 60 that models the operation of the battery is modeled and simulated by a program. Conduct a simulation on the overall power supply and demand.

  Specifically, the power generated by the virtual generator 10 is AC / DC converted by the virtual converter 20 to be supplied power. On the other hand, the power before orthogonal transformation by the virtual inverter 30 is calculated in reverse from the power required for driving the virtual main motor 40 to obtain the required power. In addition, the virtual auxiliary power supply device 50 is called constant power (hereinafter referred to as “auxiliary power”) in order to simulate an auxiliary power supply device that is a device that generates power for use in auxiliary equipment such as lighting in a passenger room. ) Is output. Then, the excess and deficiency of the power supply and demand considering the supply power, the required power, and the auxiliary power is applied to the charge / discharge of the virtual battery 60.

  Furthermore, the driving of the virtual main motor 40 is controlled in response to an operation input by a user or a control command input such as a notch command or a braking command for a cab that is an input value defined in advance by a program. The virtual generator 10 is controlled by switching the power generation control mode by a power control process described later based on a notch command, a current speed, and the like.

  Specifically, three modes of “MAX mode”, “OPT mode”, and “SIV mode” are prepared as the power generation control mode of the virtual generator 10, and in the “MAX mode”, the maximum output is “ In the “OPT mode”, the virtual generator 10 is controlled to be driven with the optimum efficiency output in accordance with the specifications of the virtual generator 10. In the “SIV mode”, the driving of the virtual generator 10 is stopped, and the output of the virtual auxiliary power supply device 50 is supplied to the virtual main motor 40.

  In the present embodiment, the virtual main motor 40 is simulated to simulate a three-phase induction motor and operate as a virtual generator during regeneration to generate regenerative power. The generated regenerative power is simulated so that the virtual battery 60 is charged via the virtual inverter 30.

  FIG. 2 is a diagram showing the configuration of the control simulator 1. The control simulator 1 includes a CPU (Central Processing Unit) 200, a ROM (Read Only Memory) 300, a RAM (Random Access Memory) 400, an operation input device 500, a display device 600, and a communication device 700. It is the computer system comprised through the connection.

  The CPU 200 performs a control simulation process according to the control simulation program 310 stored in the ROM 300. The control simulation process will be described later in detail. Further, the control simulation program 310 sets the virtual generator 10, the virtual converter 20, the virtual inverter 30, the virtual main motor 40, the virtual auxiliary power supply device 50, and the virtual battery 70 according to the operation parameters of the actual device, etc. A generator simulation program 311, a converter simulation program 312, an inverter simulation program 313, a main motor simulation program 314, an auxiliary power supply simulation program 315, and a battery simulation program 316 that are modeled so as to simulate operation are provided as subroutines.

  The RAM 400 forms a work area that temporarily stores various programs executed by the CPU 200, data being processed in various processes, processing results, and the like. The RAM 400 stores SOC data 410, cab notch data 420, parameter notch data 430, and status record data 440.

  The SOC data 410 is data of the latest power storage amount of the virtual battery 60 (hereinafter referred to as “SOC (State Of Charge)”). The cab notch data 420 is data in which a current notch (hereinafter referred to as “cab notch”) input from the operation input device 500 as a notch command from the cab by the driver is stored.

  The parameter notch data 430 is data in which notches (hereinafter referred to as “parameter notches”) as internal parameters used for control are stored. The cab notch and the parameter notch coincide in principle, but when the possibility of insufficient power supply to the virtual main motor 40 is detected, the parameter notch is exceptionally switched to a lower number of stages.

  The status record data 440 includes the storage amount of the virtual battery 60, the traveling speed of the virtual railway vehicle (electric vehicle) by the virtual main motor 40, and the number of notch steps stored in the cab notch data 420 and the parameter notch data 430. The power generation control mode of the virtual generator 10 and the fuel consumption required for the power generation of the virtual generator 10 are data periodically recorded and accumulated during the execution of the control simulation process.

2. Principle Next, the operation principle of the control simulation process will be described. Hereinafter, the principles of control simulation during power running, braking, and idling of the simulated hybrid railway vehicle (referred to as “virtual railway vehicle” as appropriate) will be described.

2-1. Control simulation during power running In this embodiment, five-step notches of “0N”, “2N”, “3N”, “4N”, and “5N” are used as parameter notches during power running. Note that “1N” is a notch that is used for exchanging the premises of the vehicle and is not used here because it is not used in normal operation.

  Further, as the power generation control mode of the virtual generator 10, three types of modes of “MAX mode”, “OPT mode”, and “SIV mode” are used.

  In the “MAX mode”, the virtual generator 10 is driven at the maximum output, and the output is supplied to the virtual main motor 40. In the “OPT mode”, the virtual generator 10 is driven with an output of optimum efficiency predetermined in terms of specifications, and the output is supplied to the virtual main motor 40.

  In the “SIV mode”, the driving of the virtual generator 10 is stopped, and the output of the virtual auxiliary power supply device 50 is supplied to the virtual main motor 40. In addition, since it is for covering electric power of an auxiliary machine etc. far lower than the virtual main motor 40, its output is much smaller than the maximum output of the virtual generator 10 and the output of the optimum efficiency.

  FIGS. 3 to 6 show required power curves representing changes in power required to drive the virtual main motor 40 (hereinafter referred to as “required power”) at each parameter notch. In each figure, the horizontal axis represents the speed of the virtual railway vehicle (travel speed by the virtual main motor 40), and the vertical axis represents the required power. It should be noted that the illustration is omitted when the parameter notch is “0N”.

FIG. 3 is a diagram showing a required power curve when the parameter notch is “5N”.
To the speed of the virtual rail vehicle reaches V ₁ was required power is gradually increased linearly, a constant in the speed V ₁ ~V _2. When the speed V ₂ is exceeded, the required power gradually decreases.

Further, it is possible to travel only by the power generation control in the “MAX mode” until the speed of the virtual railway vehicle reaches V _θ1 (<V ₁ ), and when the speed exceeds V _θ1 , the power generation in the “MAX mode” is performed. Electricity is not enough only by control. This speed V _θ1 is hereinafter referred to as “first critical speed”.

When only the power generation control in the “MAX mode” is performed when the speed of the virtual railway vehicle is in the speed range of “0 to V _θ1 ”, the supplied power always exceeds the required power in the speed range, so the difference power is The virtual battery 60 is charged as surplus power (region R1 + R2 in FIG. 3). However, if the SOC of the virtual battery 60 reaches the maximum power storage amount, the surplus power is not charged in the virtual battery 60, and the surplus power is wasted.

In addition, if only the power generation control by the “OPT mode” is performed in the speed range, the supplied power always exceeds the required power until the speed of the virtual railway vehicle reaches V ₃ (<V _θ1 ). Electric power is charged into the virtual battery 60 as surplus power (region R1 in FIG. 3). However, also in this case, if the SOC of the virtual battery 60 has reached the maximum amount of stored electricity, the surplus power is not charged in the virtual battery 60.

Therefore, when the speed of the virtual railway vehicle is in the speed range of “0 to V _θ1 ”, the “MAX mode”, “OPT mode”, and “SIV mode” are switched according to the SOC of the virtual battery 60. Simulate power generation control.

  FIG. 7 is a diagram illustrating a switching pattern representing a switching procedure of the power generation control mode. In the figure, the horizontal axis indicates the speed range of the virtual railway vehicle, and the vertical axis indicates the SOC of the virtual battery 60. Moreover, it has shown that the electric power generation control by the said electric power generation control mode is performed from the start point of the arrow in a switching pattern to an end point.

In the speed range “0 to V _θ1 ”, when the SOC level is the lowest level value “SOCmin0”, power generation control by “MAX mode” is performed, and surplus power is charged in the virtual battery 60. When the SOC level reaches a low level value “SOCmin1” slightly higher than the lowest level value “SOCmin0”, the power generation control mode is switched from “MAX mode” to “OPT mode”.

  Thereafter, when the supplied power in the “OPT mode” exceeds the required power, the surplus power is further charged into the virtual battery 60, and when the SOC level reaches the maximum level value “SOCmax0”, the power generation control mode is set to “OPT”. Switch from “mode” to “SIV mode”. That is, the simulation is performed such that the driving of the virtual generator 10 is stopped and the output from the virtual auxiliary power supply device 50 is started.

  In the “SIV mode”, since only a small amount of power is supplied, the insufficient power is supplied from the virtual battery 60, and the SOC decreases. When the SOC level reaches a high level value “SOCmax1” that is slightly lower than the maximum level value “SOCmax0”, the power generation control mode is switched from “SIV mode” to “OPT mode”. That is, the simulation is performed such that the output from the virtual auxiliary power supply device 50 is stopped and the driving of the virtual generator 10 is started.

  Thereafter, when the power supplied in the “OPT mode” is less than the required power, the insufficient power is continuously supplied from the virtual battery 60, and when the SOC level reaches the lowest level value “SOCmin0”, the power generation control mode is set to “OPT mode”. To “MAX mode”.

  In the present embodiment, the power generation control mode is switched when the SOC of the virtual battery 60 reaches the maximum level value and the minimum level value (hereinafter, collectively referred to as “limit level value”), and from this limit level value, When the SOC reaches a slightly changed high level value or low level value, the power generation control mode is switched to the original mode before switching. When switching is determined at one fixed point, control is switched depending on whether or not the value is reached, and frequent switching (hunting) is likely to occur. However, by providing the switching pattern with so-called hysteresis, stable driving of the virtual main motor 40 is ensured.

  Note that after the power generation control mode is switched from the “MAX mode” to the “OPT mode”, if the power supplied in the “OPT mode” is less than the required power, the insufficient power is supplied from the virtual battery 60. When the SOC level reaches the minimum level value “SOCmin0”, the power generation control mode is switched from the “OPT mode” to the “MAX mode” again. That is, the switching pattern transitions from the left side to the right side.

  Further, after the power generation control mode is switched from the “SIV mode” to the “OPT mode”, if the power supplied in the “OPT mode” exceeds the required power, the virtual battery 60 is simulated to be charged. . When the SOC level reaches the maximum level value “SOCmax0”, the power generation control mode is switched from the “OPT mode” to the “SIV mode” again. That is, the switching pattern transitions from the right side to the left side.

On the other hand, from the required power curve of FIG. 3, when the speed of the virtual railway vehicle exceeds the first critical speed V _θ1 , power is insufficient only by the power generation control in the “MAX mode”. Therefore, in the speed range “V _θ1 or more”, power generation control is always performed in the “MAX mode”, and simulation is performed so that the insufficient power is compensated from the virtual battery 60.

FIG. 4 is a diagram showing a required power curve when the parameter notch is “4N”.
When the required power to the speed of the virtual rail vehicle reaches V ₁ is gradually increased linearly, greater than velocity V _1, required power is gradually decreased.

In addition, the vehicle can travel only by the power generation control in the “MAX mode” until the speed of the virtual railway vehicle reaches the first critical speed V _θ1 , and when the speed exceeds the first critical speed V _θ1 , Electricity control by “” alone is not enough.

Therefore, when the parameter notch is “4N”, the same power generation control as in the case of “5N” is performed. That is, according to the switching pattern of FIG. 7, when the speed of the virtual railway vehicle is in the speed range of “0 to V _θ1 ”, power generation control is performed while switching between “MAX mode”, “OPT mode”, and “SIV mode”. When the speed range is “V _θ1 or more”, the power generation control is always performed in the “MAX mode”.

FIG. 5 is a diagram showing a required power curve when the parameter notch is “3N”.
The required power increases linearly until the speed of the virtual railway vehicle reaches the first critical speed _Vθ1 . In the first critical speed V _θ1 to the speed V _θ2 , the required power matches the supplied power in the “MAX mode”, and when the speed exceeds the speed V _θ2 , the required power gradually decreases. This speed V _θ2 is hereinafter referred to as “second critical speed”.

If only the power generation control by the “MAX mode” is performed when the speed of the virtual railway vehicle is in the speed range of “0 to V _θ1 ”, if the SOC of the virtual battery 60 has reached the maximum charged amount, the surplus The power is not charged in the virtual battery 60 and is wasted. The same applies to the speed range of “V _θ2 or more”.

Therefore, when the parameter notch is “3N”, the power generation control mode is switched according to the switching pattern of FIG. That is, when the speed of the virtual railway vehicle is in the speed range of “0 to V _θ1 ”, the “MAX mode”, “OPT mode”, and “SIV mode” are switched as in the switching pattern of FIG. Simulate power generation control.

When the speed is in the speed range of “V _{θ1 to} V _θ2 ”, simulation is performed so that power generation control is always performed in the “MAX mode”. When the speed is in the speed range of “V _θ2 or more”, simulation is performed so that power generation control is performed while switching between “MAX mode” and “SIV mode”. Specifically, when the SOC level is the lowest level value “SOCmin0”, power generation control is performed in “MAX mode”, and surplus power is simulated to be charged in the battery 60. When the SOC level reaches the maximum level value “SOCmax0”, the power generation control mode is switched from “MAX mode” to “SIV mode”.

  In the “SIV mode”, since only a small amount of power is supplied, the insufficient power is supplied from the virtual battery 60, and the SOC decreases. When the SOC level reaches the high level value “SOCmax1”, the power generation control mode is switched from “SIV mode” to “MAX mode”.

FIG. 6 is a diagram illustrating a required power curve when the parameter notch is “2N”.
The required power increases linearly until the speed of the virtual railway vehicle reaches the first critical speed _Vθ1 . When the speed V _θ1 is exceeded, the required power gradually decreases.

Therefore, when the parameter notch is “2N”, the same power generation control as in the case of “3N” is performed (in this case, “V _θ1 = V _θ2 ”). That is, according to the switching pattern of FIG. 8, when the speed of the virtual railway vehicle is in the speed range of “0 to V _θ1 ”, power generation control is performed while switching between “MAX mode”, “OPT mode”, and “SIV mode”. To simulate. Further, when the speed is in the speed range of “V _θ1 or more”, the power generation control is simulated while switching between the “MAX mode” and the “SIV mode”.

  Finally, when the parameter notch is “0N”, it is simulated that the power generation control is always performed in the “SIV mode”. When charging the virtual battery 60 according to the SOC of the virtual battery 60, the virtual generator 10 may be controlled to be driven in the “OPT mode” in the case of “0N”.

2-2. Control simulation during braking When the virtual railway vehicle is braked, the regenerative electric power is charged to the virtual battery 60 by controlling the operation of the regenerative brake based on the SOC of the virtual battery 60. Specifically, when the SOC is less than the maximum level value “SOCmax0”, the regenerative brake is operated so that the regenerative electric power generated by the virtual main motor 40 is charged in the virtual battery 60. On the other hand, when the SOC is the maximum level value “SOCmax0”, the mechanical brake is operated without operating the regenerative brake.

2-3. Control simulation at idling When the virtual railway vehicle is idling, the virtual generator 10 is driven and controlled based on the SOC of the virtual battery 60 to simulate the virtual battery 60 being charged. Specifically, when the SOC is less than the maximum level value “SOCmax0”, the virtual generator 10 is driven in the “OPT mode” and the virtual battery 60 is charged with the output power at this time. On the other hand, when the SOC is the maximum level value “SOCmin0”, the driving of the virtual generator 10 is stopped.

3. Process Flow Next, the flow of the control simulation process will be described using a flowchart. In addition, since a well-known technique is applicable about operation control of the virtual generator 10, the virtual converter 20, the virtual inverter 30, the virtual main motor 40, the virtual auxiliary power supply device 50, and the virtual battery 60, detailed description is abbreviate | omitted. The overall power control of the virtual railway vehicle will be mainly described. FIG. 9 is a flowchart showing the flow of control simulation processing executed by the CPU 200 according to the control simulation program 310.

  First, the CPU 200 starts and executes a generator simulation program 311, a converter simulation program 312, an inverter simulation program 313, a main motor simulation program 314, an auxiliary power supply simulation program 315, and a battery simulation program 316. Simulation is started (step A1). Then, the SOC data 410 in the RAM 400 is updated with the current SOC of the virtual battery 60 (step A2).

  Next, an input as a control command such as a cab notch command or a braking command is received from the operation input device 500 (step A3). The CPU 200 determines whether or not the cab notch has changed by comparing the notch command from the cab that has been input with the operation and the cab notch data 420 (step A4), and determines that it has not changed. In such a case (step A4; No), the process proceeds to step A7.

  When it is determined in step A4 that the cab notch has changed (step A4; Yes), the CPU 200 updates the cab notch data 420 of the RAM 400 with the cab notch and uses the cab notch as a parameter notch. The parameter notch data 430 is updated (step A5).

  Next, the CPU 200 determines whether or not the virtual railway vehicle is in a power running state based on the operating state of the virtual main motor 40 (step A7), and if it is determined that it is not in a power running state (step A7; No), The process proceeds to step A17.

  When it is determined in step A7 that the power running state is set (step A7; Yes), the CPU 200 determines the parameter notch stored in the parameter notch data 430 (step A9).

  When the parameter notch determined in step A9 is “0N” (step A9; 0N), the CPU 200 switches the power generation control mode to “SIV mode” (step A11).

  If the parameter notch determined in step A9 is “4N” or “5N” (step A9; 4N or 5N), the CPU 200 performs a high-notch power generation control mode switching process (step A13).

FIG. 10 is a flowchart showing a flow of the high notch power generation control mode switching process.
First, the CPU 200 acquires the current traveling speed of the virtual railway vehicle from the driving state of the virtual main motor 40 (step B1). Then, the CPU 200 determines a speed range corresponding to the travel speed acquired in Step B1 (Step B3).

When the speed range determined in step B3 is “0 to V _θ1 ” (step B3; 0 to V _θ1 ), the CPU 200 determines that the SOC stored in the SOC data 410 is greater than or equal to the maximum level value “SOCmax0”. (Step B5).

  When it is determined in step B5 that it is less than the maximum level value “SOCmax0” (step B5; No), the CPU 200 shifts the process to step B9. On the other hand, when it is determined that the maximum level value is “SOCmax0” or more (step B5; Yes), the CPU 200 switches the power generation control mode to the “SIV mode” (step B7).

  Next, the CPU 200 determines whether or not the SOC stored in the SOC data 410 is equal to or lower than the lowest level value “SOCmin0” (step B9), and if it is determined that the SOC is higher than the lowest level value “SOCmin0”. (Step B9; No), the process proceeds to Step B13.

  On the other hand, when it is determined in step B9 that the level is equal to or lower than the minimum level value “SOCmin0” (step B9; Yes), the CPU 200 switches the power generation control mode to “MAX mode” (step B11).

  Next, the CPU 200 determines whether or not the SOC stored in the SOC data 410 is equal to or higher than the high level value “SOCmax1” (step B13), and when it is determined that the SOC is equal to or higher than the high level value “SOCmax1”. (Step B13; Yes), the current power generation control mode is determined (Step B15).

  When it is determined in step B15 that the current power generation control mode is the “SIV mode” (step B15; SIV mode), the CPU 200 switches the power generation control mode to the “OPT mode” (step B17).

  Further, when it is determined in step B13 that it is less than the high level value “SOCmax1” (step B13; No), or when it is determined in step B15 that the current power generation control mode is “OPT mode” (step B15; In the OPT mode, the CPU 200 shifts the processing to step B19.

  Next, the CPU 200 determines whether or not the SOC stored in the SOC data 410 is equal to or lower than the low level value “SOCmin1” (step B19), and determines that the SOC is equal to or lower than the low level value “SOCmin1”. (Step B19; Yes), the current power generation control mode is determined (Step B21).

  If it is determined in step B21 that the current power generation control mode is the “MAX mode” (step B21; MAX mode), the CPU 200 switches the power generation control mode to the “OPT mode” (step B23). Then, the CPU 200 ends the high notch power generation control mode switching process.

  When it is determined in step B19 that it is higher than the low level value “SOCmin1” (step B19; No), or when it is determined in step B21 that the current power generation control mode is “OPT mode” (step B21; OPT mode), the CPU 200 ends the high notch power generation control mode switching process.

On the other hand, when the speed range determined in step B3 is “V _θ1 or more” (step B3; V _θ1 or more), the CPU 200 switches the power generation control mode to “MAX mode” (step B25).

  Then, the CPU 200 determines the required power of the virtual main motor 40 when traveling at the current travel speed using the current parameter notch (step B27).

  Then, CPU 200 determines whether or not the sum of the amount of charge of virtual battery 60 based on the current SOC stored in SOC data 410 and the power supplied in “MAX mode” is less than the required power determined in step B27. Is determined (step B29), and when it is determined that the power is equal to or greater than the required power (step B29; No), the high notch power generation control mode switching process is terminated.

  On the other hand, if it is determined in step B29 that the power is less than the required power (step B29; Yes), the CPU 200 updates the parameter notch stored in the parameter notch data 430 to a parameter notch one level lower (step B31). ), The high-notch power generation control mode switching process is terminated.

In the speed range of “V _θ1 or more”, the sum of the amount of charge of the virtual battery 60 by the SOC of the virtual battery 60 and the power supplied by the “MAX mode” may not satisfy the required power at the speed. In this case, power supply shortage occurs, and traveling at the speed at the parameter notch is impossible. Therefore, when the possibility of insufficient power supply is detected, the parameter notch is forcibly lowered by one level (steps B27 to B31). When the parameter notch is lowered by one step, the required power required for driving the main motor 40 at the same speed is reduced (required power curves in FIGS. 3 to 6), so that the occurrence of insufficient power supply is eliminated.

  Returning to the control simulation process of FIG. 9, when it is determined in step A9 that the parameter notch is “2N” or “3N” (step A9; 2N or 3N), the CPU 200 performs the power generation control mode switching process for the middle notch. (Step A15).

FIG. 11 is a flowchart showing the flow of the middle notch power generation control mode switching process.
First, the CPU 200 acquires the current traveling speed of the virtual railway vehicle from the driving state of the virtual main motor 40 (step C1). Then, the CPU 200 determines a speed range corresponding to the speed acquired in Step C1 (Step C3).

When the speed range determined in step C3 is “0 to V _θ1 ” (step C3; 0 to V _θ1 ), the CPU 200 performs the processes of steps C5 to C23 to perform the power generation control mode switching process for the middle notch. Exit. In addition, since the process of step C5-C23 is the same as the process of step B5-B23 in the high notch power generation control mode switching process of FIG. 10, description is abbreviate | omitted.

When the speed range determined in step C3 is “V _{θ1 to} V _θ2 ” (step C3; V _{θ1 to} V _θ2 ), the CPU 200 switches the power generation control mode to “MAX mode” (step C25). The middle notch power generation control mode switching process is terminated.

When the speed range determined in step C3 is “V _θ2 or more” (step C3; V _θ2 or more), the CPU 200 determines that the SOC stored in the SOC data 410 is the maximum level value “SOCmax0” or more. Is determined (step C27).

  When it is determined in step C27 that it is less than the maximum level value “SOCmax0” (step C27; No), the CPU 200 shifts the process to step C31. On the other hand, when it is determined that the maximum level value is “SOCmax0” or more (step C27; Yes), the CPU 200 switches the power generation control mode to the “SIV mode” (step C29).

  Next, the CPU 200 determines whether or not the SOC stored in the SOC data 410 is equal to or higher than the high level value “SOCmax1” (step C31), and when it is determined that the SOC is equal to or higher than the high level value “SOCmax1”. (Step C31; Yes), the current power generation control mode is determined (Step C33).

  If it is determined in step C33 that the current power generation control mode is “SIV mode” (step C33; SIV mode), the CPU 200 switches the power generation control mode to “MAX mode” (step C35). Then, the CPU 200 ends the middle notch power generation control mode switching process.

  Further, when it is determined in step C31 that it is less than the high level value “SOCmax1” (step C31; No), or when it is determined in step C33 that the current power generation control mode is “MAX mode” (step C33; MAX mode), the CPU 200 ends the middle notch power generation control mode switching process.

  Returning to the control simulation process of FIG. 9, when the process of step A11, A13 or A15 is completed, the CPU 200 determines whether or not the virtual railway vehicle is in a braking state based on the driving state of the virtual main motor 40 ( If it is determined that the braking state is set (step A17) (step A17; Yes), it is determined whether or not the SOC stored in the SOC data 410 is equal to or higher than the maximum level value “SOCmax0” (step A19). .

  If it is determined in step A19 that it is less than the maximum level value “SOCmax0” (step A19; No), the CPU 200 charges the virtual battery 60 with regenerative power (step A21). Specifically, when the CPU 200 operates the regenerative brake, regenerative power is supplied to the power supply line, and the virtual battery 60 is charged.

  If it is determined in step A17 that the vehicle is not in a braking state (step A17; No), or if it is determined in step A19 that it is greater than or equal to the maximum level value “SOCmax0” (step A19; Yes), the CPU 200 proceeds to step A23. Migrate processing.

  Next, the CPU 200 determines whether or not the virtual railway vehicle is in an idling state (step A23). If it is determined that the virtual railcar is in an idling state (step A23; Yes), the SOC stored in the SOC data 410 is Then, it is determined whether or not the maximum level value is “SOCmax0” or more (step A25).

  If it is determined in step A25 that it is less than the maximum level value “SOCmax0” (step A25; No), the CPU 200 charges the virtual battery 60 with the output power of the virtual generator 10 (step A27). Specifically, the CPU 200 drives the virtual generator 10 in the “OPT mode” and charges the virtual battery 60 with this output power.

  When it is determined in step A23 that it is not in the idling state (step A23; No), when it is determined in step A25 that it is equal to or higher than the maximum level value “SOCmax0” (step A25; Yes), or after the process of step S27, The CPU 200 stores the amount of power stored in the virtual battery 60, the traveling speed of the virtual railway vehicle by the virtual main motor 40, the number of notch stages stored in the cab notch data 420 and the parameter notch data 430, and the virtual generator 10 The power generation control mode and the fuel consumption required for power generation by the virtual generator 10 are stored in the status record data 440 in association with the current time (step A29), and the process proceeds to step A2.

4). Effects According to the present embodiment, the switching pattern of the power generation control mode of the virtual generator 10 according to the SOC of the virtual battery 60 is set in advance for each travel speed range and parameter notch of the virtual railway vehicle. Then, the switching pattern is alternatively selected according to the current traveling speed and parameter notch of the virtual railway vehicle. And it simulates so that the drive of the virtual generator 10 may be controlled in the power generation control mode according to the SOC of the current virtual battery 60.

  For example, when the traveling speed of the virtual railway vehicle is in a speed range lower than the first critical speed, “MAX mode”, “OPT mode”, and “SIV mode” are switched based on the SOC of the virtual battery 60. It will be. Specifically, when the SOC is close to the maximum level value, “OPT mode” and “SIV mode” are switched, and when the SOC is close to the minimum level value, “MAX mode” and “OPT mode” are switched. Is switched. Therefore, it is possible to simulate the drive control of the virtual generator 10 that appropriately suppresses the output of the virtual generator 10 according to the required power, and it is possible to explore the feasibility as the energy-saving operation control. .

5. Modified example 5-1. Power generation control mode in the middle notch When the parameter notch is “3N” or “2N”, it has been described that power generation control is performed while switching between the “MAX mode” and the “SIV mode” in the high speed range. Of course, “OPT mode” may be added to the above. In this case, the power generation control mode is switched as in the low speed range.

5-2. In this embodiment, in the high-speed range when the parameter notch is “5N” or “4N”, the charge amount of the virtual battery 60 by the SOC of the virtual battery 60 and the supply by “MAX mode” Although it has been described that the possibility of insufficient power supply is detected by determining whether or not the sum with the power is less than the required power, this is detected based on the SOC of the virtual battery 60. Also good. For example, when the SOC of the virtual battery 60 is at a predetermined extremely low level (less than SOCmin0) instead of step B29 in FIG. 10, it is determined that there is a possibility of insufficient power supply.

5-3. Switching the parameter notch when power supply is insufficient In the present embodiment, it is described that the parameter notch is decreased one step at a time when the possibility of insufficient power supply is detected. Also good. For example, when the parameter notch is “5N”, it is lowered to “3N”, and when the parameter notch is “4N”, it is lowered to “2N”.

The figure for demonstrating the concept of a structure of each virtual apparatus simulated by the control simulator. The figure which shows the structure of a control simulator. The figure which shows the power requirement curve in case a parameter notch is "5N". The figure which shows a request | requirement power curve in case a parameter notch is "4N". The figure which shows a request | requirement electric power curve in case a parameter notch is "3N". The figure which shows a required power curve in case a parameter notch is "2N". The figure which shows the switching pattern in case a parameter notch is "5N" or "4N". The figure which shows the switching pattern in case a parameter notch is "3N" or "2N". The flowchart which shows the flow of a control simulation process. The flowchart which shows the flow of the power generation control mode switching process for high notches. The flowchart which shows the flow of the electric power generation control mode switching process for middle notches.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Control simulator 10 Virtual generator 20 Virtual converter 30 Virtual inverter 40 Virtual main motor 50 Virtual auxiliary power supply device 60 Virtual battery 200 CPU
300 ROM
310 Control simulation program 400 RAM
410 SOC data 420 Driver notch data 430 Parameter notch data 440 Status record data 500 Operation input device

Claims (7)

A generator simulation means for simulating a virtual generator according to a given control command;
Converter simulation means for simulating a virtual converter that converts electric power generated by the virtual generator into DC power;
Main motor simulation means for simulating a virtual main motor that is drive-controlled according to a given operation command;
By simulating a virtual inverter that converts virtual power converted by the virtual converter into virtual drive power of the virtual main motor, the required power required for driving the virtual main motor simulated by the main motor simulation means is calculated backward. The inverter simulation means
A capacitor simulation means for simulating a virtual capacitor that virtually charges and discharges power according to the difference between the virtual power converted by the virtual converter and the required power calculated by the inverter simulation means;
As a switching pattern of the power generation control mode according to the storage amount of the virtual battery, the current traveling speed and the current number of notch stages by the virtual main motor among a plurality of switching patterns set in advance for each traveling speed range and the number of notch stages. Selecting means for selecting a switching pattern corresponding to
Based on the selected switching pattern, generator control means for controlling the virtual power generation operation of the virtual generator by the virtual generator simulation means in the power generation control mode according to the current power storage amount of the virtual battery,
Electric vehicle control simulator equipped with.   Record a value during control simulation of at least one of the amount of electricity stored in the virtual battery, the running speed by the virtual main motor, the number of notches, the power generation control mode of the virtual generator, and the fuel consumption by the virtual generator. The electric vehicle control simulator according to claim 1, further comprising recording means. Power shortage detection means for detecting the possibility of power shortage with respect to the required power calculated by the inverter simulation means based on the current power storage amount of the virtual battery and the maximum generated power of the virtual generator,
3. The electric vehicle control simulator according to claim 1, wherein the selection unit selects a switching pattern corresponding to a step number lower than a current notch step number in accordance with detection by the power shortage detection unit.   The electric vehicle control simulator according to claim 3, wherein the power shortage detection unit detects the possibility of insufficient power supply with respect to the required power calculated by the inverter simulation unit based on a current power storage amount of the virtual battery.   The switching pattern includes a maximum power generation mode in which the virtual power generator generates power at a maximum output, an efficiency power generation mode in which the virtual power generator generates power at an optimum efficiency, and power generation to stop power generation according to the amount of power stored in the virtual power storage The electric vehicle control simulator according to any one of claims 1 to 4, wherein the electric vehicle control simulator is a pattern for switching any one of the stop modes.   In the switching pattern, the mode is switched when the virtual power storage device reaches a predetermined maximum power storage amount and / or a minimum power storage amount, and when the virtual power storage device changes a predetermined amount from the limit power storage amount, The electric vehicle control simulator according to claim 1, wherein a pattern for switching to the mode is included. Computer
A generator simulation means for simulating a virtual generator according to a given control command;
Converter simulating means for simulating a virtual converter that converts electric power generated by the virtual generator into DC power;
Main motor simulation means for simulating a virtual main motor driven and controlled in accordance with a given operation command;
By simulating a virtual inverter that converts virtual power converted by the virtual converter into virtual drive power of the virtual main motor, the required power required for driving the virtual main motor simulated by the main motor simulation means is calculated backward. Inverter simulation means
A capacitor simulation means for simulating a virtual capacitor that virtually charges and discharges power according to the difference between the virtual power converted by the virtual converter and the required power calculated by the inverter simulation means;
As a switching pattern of the power generation control mode according to the storage amount of the virtual battery, the current traveling speed and the current number of notch stages by the virtual main motor among a plurality of switching patterns set in advance for each traveling speed range and the number of notch stages. Selection means for selecting a switching pattern corresponding to
Based on the selected switching pattern, generator control means for controlling virtual power generation operation of the virtual generator by the virtual generator simulation means in a power generation control mode according to the current power storage amount of the virtual battery,
Program to function as.

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