A method for optimizing control of a range-extender hybrid system based on demand power prediction

Abstract

The application provides a range-extender hybrid system optimization control method based on demand power prediction, including energy management optimization control methods in driving and braking states of the range-extender hybrid vehicle. In the driving state of the vehicle, the driving demand power of the vehicle is predicted, the power generation state of the range extender and the state of charge of the power battery are obtained, the power ratio of the power generation of the range extender and the discharge of the power battery participating in driving is determined through logical algorithm judgment, in the braking state of the vehicle, whether the power battery needs to recover kinetic energy or the range extender needs to synchronously assist charging is determined through logical algorithm judgment according to the state of charge of the power battery. The application can efficiently exert the performance of the range extender and the power battery, and improve the energy utilization efficiency of the range-extender hybrid system.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of optimization control method of extended-range hybrid system, in particular to an optimization control method of extended-range hybrid system based on demand power prediction. BACKGROUND

[0002] The extended-range hybrid system is applied to the field of highway freight transportation, and the transportation working condition is relatively complex. The extended-range hybrid vehicle frequently accelerates and brakes during the transportation process, resulting in that the system energy is also frequently transferred and converted. If the energy supply process of the extended-range hybrid vehicle is not reasonably controlled, a large amount of unnecessary electric energy will be consumed. The single power supply capacity of the power battery is insufficient to meet the energy demand of the extended-range hybrid vehicle during the rapid acceleration. Therefore, the range extender needs to intervene to assist the power supply for the driving motor at appropriate times, and the kinetic energy of the extended-range hybrid vehicle during the braking process can also be recovered by the power battery. Designing a reasonable optimization control method of the extended-range hybrid system can improve the energy utilization efficiency of the whole system during the operation process, and further improve the economy of the system. SUMMARY

[0003] Therefore, the purpose of the present application is to provide an optimization control method of extended-range hybrid system based on demand power prediction.

[0004] To achieve the above purpose, the present application adopts the following technical scheme:

[0005] An optimization control method of extended-range hybrid system based on demand power prediction, the specific steps are as follows:

[0006] Step one, the optimization controller judges the driving state of the extended-range hybrid vehicle, determines whether the extended-range hybrid vehicle is in driving or braking state, and predicts the driving demand power of the extended-range hybrid vehicle, and obtains the power generation state of the range extender and the state of charge signal of the power battery. If the extended-range hybrid vehicle is in driving state, go to step two, if the extended-range hybrid vehicle is in braking state, go to step three;

[0007] Step two, the optimization controller obtains the driving state of the current extended-range hybrid vehicle, and predicts the driving demand power of the extended-range hybrid vehicle. The optimization controller obtains the power generation state of the range extender and the state of charge signal of the power battery, and determines the power ratio of the power generation of the range extender and the discharge of the power battery participating in driving according to the logic algorithm;

[0008] Step three, the optimization controller determines whether the power battery needs to recover kinetic energy or the range extender needs to synchronously assist charging according to the current braking power of the extended-range hybrid vehicle and the state of charge information of the power battery according to the logic algorithm, and determines the power ratio of the power generation of the range extender and the kinetic energy recovery of the power battery.

[0009] The specific process of step one is as follows:

[0010] S101: The optimization controller obtains the current driving status of the range-extended hybrid vehicle;

[0011] S102: The optimization controller obtains the required power signal Pm of the drive motor of the range-extended hybrid vehicle. If the required power Pm of the drive motor is positive, it determines that the range-extended hybrid vehicle is in driving state and proceeds to step two. If the required power Pm of the drive motor is negative, it determines that the range-extended hybrid vehicle is in braking state and proceeds to step three.

[0012] The specific process of step two is as follows:

[0013] S201: The controller optimizes the current driving status of the range-extended hybrid vehicle.

[0014] S202: The controller optimizes the prediction of the driving power demand of the range-extended hybrid vehicle.

[0015] S203: The optimization controller acquires the power generation status of the range extender and the state of charge signal of the power battery;

[0016] S204: If the state of charge (SOC) of the power battery is within the preset high-efficiency SOC range, and the predicted driving power demand P... m Less than the upper limit of the power battery discharge power P bs,max The predicted driving power demand P m Power is supplied entirely by the discharge of the power battery;

[0017] S205: If the state of charge (SOC) of the power battery is within the preset high-efficiency SOC range, and the predicted driving power demand Pm is greater than the upper limit of the power battery discharge power P... bs,max If the controller issues a control command, the power battery will start its maximum power discharge state, and the remaining driving power will be provided by the range extender.

[0018] S206: If the state of charge (SOC) of the power battery is less than the lower limit of the preset high-efficiency SOC range, and the predicted driving power demand P... m Greater than the upper limit of the range extender's power generation P es,max Then the controller will issue a control command, the range extender will start generating power at maximum power, and the remaining driving power will be provided by the power battery discharge.

[0019] S207: If the state of charge (SOC) of the power battery is less than the lower limit of the preset high-efficiency SOC range, and the predicted driving power demand P... m Less than the upper limit of the range extender's power generation Pes,max Then the controller will issue a control command, and the range extender will generate all the required power.

[0020] S208: After this driver process is completed, return to step one.

[0021] The specific process of step three is as follows:

[0022] S301: The optimization controller obtains the current driving status of the range-extended hybrid vehicle;

[0023] S302: The controller optimizes the power demand prediction for braking driving of the range-extended hybrid vehicle.

[0024] S303: If the state of charge (SOC) of the power battery is less than the preset maximum SOC value max And the predicted driving power demand P m Greater than the maximum charging power P of the power battery bs,c,max If the controller issues a control command, the power battery will start charging and recover the vehicle's braking energy at maximum charging power.

[0025] S304: If the state of charge (SOC) of the power battery is less than the preset maximum SOC value max And greater than the preset minimum SOC value min And the predicted driving power demand P m Less than the maximum charging power P of the power battery bs,c,max If the controller issues a control command, the power battery will start charging and recover all braking energy.

[0026] S305: If the state of charge (SOC) of the power battery is less than a preset minimum SOC value min And the required power P of the drive motor m Less than the maximum charging power P of the power battery bs,c,max The controller then issues a control command, initiating a charging state for the power battery to fully recover braking energy. Simultaneously, the range extender is activated for auxiliary charging, ensuring the power battery reaches its maximum charging power P. bs,c,max To replenish the power battery;

[0027] S306: After this braking process is completed, return to step one. Attached Figure Description

[0028] Figure 1 This is a flowchart of an optimized control method for a range-extended hybrid system based on demand power prediction, according to the present invention. Detailed Implementation

[0029] In order to make the above objectives, characteristics and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application are clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the protection scope of the present application.

[0030] As shown in Figure 1 A range-extending hybrid system optimization control method based on demand power prediction, the specific steps are as follows:

[0031] Step one, the optimization controller judges the driving state of the range-extending hybrid vehicle, determines whether the range-extending hybrid vehicle is in driving or braking state, and predicts the driving demand power of the range-extending hybrid vehicle, and obtains the power generator power generation state and the power battery state of charge signal, if the range-extending hybrid vehicle is in driving state, go to step two, if the range-extending hybrid vehicle is in braking state, go to step three;

[0032] Step two, the optimization controller obtains the driving state of the range-extending hybrid vehicle, and predicts the driving demand power of the range-extending hybrid vehicle, the optimization controller obtains the power generator power generation state and the power battery state of charge signal, and determines the power ratio of power generator power generation and power battery discharge according to the logic algorithm;

[0033] Step three, the optimization controller determines whether the power battery needs to recover kinetic energy or the power generator needs to assist charging according to the current braking power of the range-extending hybrid vehicle and the power battery state of charge information, and determines the power ratio of power generator power generation and power battery kinetic energy recovery according to the logic algorithm.

[0034] The specific process of step one is as follows:

[0035] S101: The optimization controller obtains the driving state of the range-extending hybrid vehicle;

[0036] S102: The optimization controller obtains the demand power signal Pm of the driving motor of the range-extending hybrid vehicle, if the demand power Pm of the driving motor is positive, it is determined that the range-extending hybrid vehicle is in driving state and goes to step two, if the demand power Pm of the driving motor is negative, it is determined that the range-extending hybrid vehicle is in braking state and goes to step three.

[0037] The specific process of step two is as follows:

[0038] S201: The optimization controller obtains the driving state of the range-extending hybrid vehicle;

[0039] S202: The controller optimizes the prediction of the driving power demand of the range-extended hybrid vehicle.

[0040] S203: The optimization controller acquires the power generation status of the range extender and the state of charge signal of the power battery;

[0041] S204: If the state of charge (SOC) of the power battery is within the preset high-efficiency SOC range, and the predicted driving power demand P... m Less than the upper limit of the power battery discharge power P bs,max The predicted driving power demand P m It is all powered by the discharge of the power battery;

[0042] S205: If the state of charge (SOC) of the power battery is within the preset high-efficiency SOC range, and the predicted driving power demand Pm is greater than the upper limit of the power battery discharge power P... bs,max If the controller issues a control command, the power battery will start its maximum power discharge state, and the remaining driving power will be provided by the range extender.

[0043] S206: If the state of charge (SOC) of the power battery is less than the lower limit of the preset high-efficiency SOC range, and the predicted driving power demand P... m Greater than the upper limit of the range extender's power generation P es,max Then the controller will issue a control command, the range extender will start generating power at maximum power, and the remaining driving power will be provided by the power battery discharge.

[0044] S207: If the state of charge (SOC) of the power battery is less than the lower limit of the preset high-efficiency SOC range, and the predicted driving power demand P... m Less than the upper limit of the range extender's power generation P es,max Then the controller will issue a control command, and the range extender will generate all the required power.

[0045] S208: After this driver process is completed, return to step one.

[0046] The specific process of step three is as follows:

[0047] S301: The optimization controller obtains the current driving status of the range-extended hybrid vehicle;

[0048] S302: The controller optimizes the power demand prediction for braking driving of the range-extended hybrid vehicle.

[0049] S303: If the state of charge (SOC) of the power battery is less than the preset maximum SOC value max And the predicted driving power demand Pm Greater than the maximum charging power P of the power battery bs,c,max If the controller issues a control command, the power battery will start charging and recover the vehicle's braking energy at maximum charging power.

[0050] S304: If the state of charge (SOC) of the power battery is less than the preset maximum SOC value max And greater than the preset minimum SOC value min And the predicted driving power demand P m Less than the maximum charging power P of the power battery bs,c,max If the controller issues a control command, the power battery will start charging and recover all braking energy.

[0051] S305: If the state of charge (SOC) of the power battery is less than a preset minimum SOC value min And the required power P of the drive motor m Less than the maximum charging power P of the power battery bs,c,max The controller then issues a control command, initiating a charging state for the power battery to fully recover braking energy. Simultaneously, the range extender is activated for auxiliary charging, ensuring the power battery reaches its maximum charging power P. bs,c,max To replenish the power battery;

[0052] S306: After this braking process is completed, return to step one.

Claims

1. A method for optimizing control of a range-extender hybrid system based on demand power prediction, characterized in that, The specific steps are as follows: Step one, the optimization controller judges the driving state of the extended-range hybrid vehicle, determines whether the extended-range hybrid vehicle is in driving or braking state, predicts the driving demand power of the extended-range hybrid vehicle, and obtains the extended-range generator power generation state and the power battery state of charge signal, if the extended-range hybrid vehicle is in driving state, turn to step two, if the extended-range hybrid vehicle is in braking state, turn to step three; Step two, the optimization controller obtains the current driving state of the extended-range hybrid vehicle, and predicts the driving demand power of the extended-range hybrid vehicle, the optimization controller obtains the extended-range generator power generation state and the power battery state of charge signal, and determines the power ratio of the extended-range generator power generation and the power battery discharge according to the logical algorithm; The specific process of step two is as follows: S201: the optimization controller obtains the current driving state of the extended-range hybrid vehicle; S202: the optimization controller predicts the driving demand power of the extended-range hybrid vehicle; S203: the optimization controller obtains the extended-range generator power generation state and the power battery state of charge signal; S204: If the power battery state of charge SOC is within the preset high-efficiency SOC range, and the demand power P m of the vehicle driving motor is less than the upper limit P bs,max of the power battery discharge power, then the demand power P m of the vehicle driving motor is provided entirely by the power battery discharge. S205: If the power battery state of charge SOC is within the preset high-efficiency SOC range, and the demand power P m greater than the upper limit of the power battery discharge power P bs,max the optimization controller sends a control instruction, the power battery starts the maximum power discharge state, and the remaining driving demand power is provided by the range extender discharge. S206: If the state of charge SOC of the power battery is less than the lower limit value of the preset high-efficiency SOC range, and the demand power P m of the vehicle driving motor is greater than the upper limit P es,max of the power generator power, the optimization controller sends a control instruction, the power generator is started in the maximum power generation state, and the remaining driving demand power is provided by discharging the power battery. S207: If the state of charge SOC of the power battery is less than the lower limit value of the preset high-efficiency SOC range, and the demand power P of the vehicle driving motor is greater than the upper limit P of the power generation of the range extender m , the optimization controller sends a control instruction, and the range extender generates power to provide all the demand power. es,max ​ S208: after the current driving process is executed, return to step one; Step three, the optimization controller determines whether the power battery needs to recover kinetic energy or the extended-range generator needs to be charged according to the current braking power of the extended-range hybrid vehicle and the power battery state of charge information, and determines the power ratio of the extended-range generator power generation and the power battery kinetic energy recovery according to the logical algorithm.

2. The method of claim 1, wherein, The specific process of step one is as follows: S101: the optimization controller obtains the current driving state of the extended-range hybrid vehicle; S102: The controller optimizes the acquisition of the required power P of the drive motor of the range-extended hybrid vehicle. m If the required power P of the drive motor m If the value is positive, the range-extended hybrid vehicle is determined to be in driving mode and the process proceeds to step two. If the required power P of the drive motor is positive... m If the value is negative, it indicates that the range-extended hybrid vehicle is in a braking state and proceeds to step three.

3. The method of claim 1, wherein, The specific process of step three is as follows: S301: the optimization controller obtains the current driving state of the extended-range hybrid vehicle; S302: the optimization controller predicts the braking demand power of the extended-range hybrid vehicle; S303: If the state of charge SOC of the power battery is less than a preset maximum value SOC max , and the required power P m of the vehicle driving motor is greater than the maximum charging power P bs,c,max of the power battery, the optimization controller sends a control instruction, and the power battery is in a charging state to recover the vehicle braking energy at the maximum charging power. S304: If the state of charge SOC of the power battery is less than a preset maximum value SOC max and greater than a preset minimum value SOC min , and the required power P m of the vehicle driving motor is less than the maximum charging power P bs,c,max of the power battery, the optimization controller sends a control instruction, and the power battery is in a charging state to recover all braking energy. S305: If the state of charge SOC of the power battery is less than a preset minimum value SOC min , and the required power P m of the vehicle driving motor is less than the maximum charging power P bs,c,max of the power battery, the optimization controller sends a control instruction, the power battery starts full recovery of braking energy in the charging state, and the range extender starts synchronous auxiliary charging to make the charging power of the power battery reach the maximum charging power P bs,c,max to supplement the power battery. S306: after the current braking process is executed, return to step one.

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