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CN119911258A - An optimization control method for a range-extended hybrid system based on power demand prediction - Google Patents

An optimization control method for a range-extended hybrid system based on power demand prediction
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CN119911258A
CN119911258ACN202510182015.2ACN202510182015ACN119911258ACN 119911258 ACN119911258 ACN 119911258ACN 202510182015 ACN202510182015 ACN 202510182015ACN 119911258 ACN119911258 ACN 119911258A
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power
range
state
driving
power battery
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郝然
雷雨龙
毕高鑫
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Qingdao Automotive Research Institute Jilin University
Jilin University
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Qingdao Automotive Research Institute Jilin University
Jilin University
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Abstract

The invention provides an extended range hybrid system optimal control method based on demand power prediction, which comprises an energy management optimal control method under the driving state and the braking state of an extended range hybrid vehicle. And under the driving state of the vehicle, the driving and driving required power of the vehicle is predicted, the power generation state of the range extender and the charge state of the power battery are obtained, and the power ratio of the power generation of the range extender and the discharge of the power battery to participate in driving is determined through judgment of a logic algorithm. In a vehicle braking state, according to the charge state of the power battery, judging through a logic algorithm, and determining whether the power battery needs to be subjected to kinetic energy recovery or synchronous auxiliary charging of a range extender. The invention can efficiently exert the performances of the range extender and the power battery and improve the energy utilization efficiency of the range extender hybrid system.

Description

Range-extending hybrid system optimization control method based on demand power prediction
Technical Field
The invention relates to the field of an optimal control method of an extended-range hybrid system, in particular to an optimal control method of an extended-range hybrid system based on demand power prediction.
Background
The range-extending hybrid system is applied to the field of highway freight transportation, the transportation working condition is complex, the range-extending hybrid vehicle is frequently accelerated and braked in the transportation process, the system energy is frequently transmitted and converted, and if the energy supply process of the range-extending hybrid vehicle is not reasonably controlled, a large amount of unnecessary electric energy loss is caused. The single power supply capacity of the power battery is insufficient to meet the energy requirement of the range extender hybrid vehicle during rapid acceleration, so that the range extender is required to be interposed to assist in supplying power to the driving motor when appropriate, and the kinetic energy of the range extender hybrid vehicle during braking can be recovered by the power battery. The optimization control method of the extended range hybrid system has reasonable design, can improve the energy utilization efficiency of the whole system in the running process, and further improves the economical efficiency of the system.
Disclosure of Invention
Therefore, the present invention is directed to an extended range hybrid system optimization control method based on demand power prediction.
In order to achieve the above purpose, the invention is realized by adopting the following technical scheme:
An extended range hybrid system optimization control method based on demand power prediction comprises the following specific steps:
Step one, an optimization controller judges the running state of an extended range hybrid vehicle, determines whether the extended range hybrid vehicle is in a driving state or a braking state, predicts the running required power of the extended range hybrid vehicle, acquires a power generation state of an extended range device and a charge state signal of a power battery, and if the extended range hybrid vehicle is in the driving state, the step two is carried out, and if the extended range hybrid vehicle is in the braking state, the step three is carried out;
Step two, an optimal controller obtains the current driving running state of the range extender hybrid vehicle, and predicts the driving required power of the range extender hybrid vehicle, and the optimal controller obtains the power generation state of the range extender and the charge state signal of the power battery, and determines the power ratio of the power generation of the range extender and the discharge participation driving of the power battery according to a logic algorithm;
And thirdly, judging whether the kinetic energy recovered by the power battery or the synchronous auxiliary charging of the range extender is needed or not by the optimal controller according to the current braking power of the range extender and the state of charge information of the power battery and a logic algorithm, and determining the power ratio of the power generation of the range extender and the recovery of the kinetic energy of the power battery.
The specific process of the first step is as follows:
s101, an optimization controller obtains the current driving running state of the extended range hybrid vehicle;
S102, the optimization controller acquires a required power signal Pm of a driving motor of the extended-range hybrid vehicle, if the required power Pm of the driving motor is positive, the extended-range hybrid vehicle is determined to be in a driving state and is transferred to the step two, and if the required power Pm of the driving motor is negative, the extended-range hybrid vehicle is determined to be in a braking state and is transferred to the step three.
The specific process of the second step is as follows:
S201, an optimization controller obtains the current driving running state of the extended range hybrid vehicle;
s202, an optimization controller predicts driving required power of the extended range hybrid vehicle;
s203, the optimal controller acquires a power generation state of the range extender and a charge state signal of the power battery;
S204, if the state of charge (SOC) of the power battery is within a preset high-efficiency SOC range and the predicted driving required power Pm is smaller than the upper limit Pbs,max of the discharging power of the power battery, the predicted driving required power Pm is provided by the discharging of the power battery;
S205, if the state of charge (SOC) of the power battery is within a preset high-efficiency SOC range and the predicted driving required power Pm is greater than the upper limit Pbs,max of the discharging power of the power battery, the optimal controller sends a control instruction, the power battery starts a maximum power discharging state, and the residual driving required power is provided by discharging of the range extender;
S206, if the state of charge (SOC) of the power battery is smaller than the lower limit value of a preset high-efficiency SOC range and the predicted driving required power Pm is larger than the upper limit Pes,max of the power generation power of the range extender, the optimal controller sends a control instruction, the range extender starts the maximum power generation state, and the residual driving required power is provided by discharging the power battery;
S207, if the state of charge (SOC) of the power battery is smaller than the lower limit value of a preset high-efficiency SOC range and the predicted driving required power Pm is smaller than the upper limit Pes,max of the power generation power of the range extender, the optimization controller sends out a control instruction, and the range extender generates power to provide all required power;
s208, returning to the step one after the driving process is executed.
The specific process of the third step is as follows:
s301, an optimization controller acquires the current driving running state of the extended range hybrid vehicle;
s302, the optimization controller predicts the braking driving demand power of the extended range hybrid vehicle;
S303, if the state of charge (SOC) of the power battery is smaller than a preset maximum value (SOCmax) and the predicted driving required power Pm is larger than the maximum charging power Pbs,c,max of the power battery, the optimal controller sends a control instruction, and the power battery starts the state of charge and recovers the braking energy of the vehicle by the maximum charging power;
S304, if the state of charge SOC of the power battery is smaller than a preset maximum value SOCmax and larger than a preset minimum value SOCmin, and the predicted driving required power Pm is smaller than the maximum charging power Pbs,c,max of the power battery, the optimization controller sends a control instruction, and the power battery starts the state of charge to recover all braking energy;
S305, if the state of charge SOC of the power battery is smaller than a preset minimum value SOCmin and the required power Pm of the driving motor is smaller than the maximum charging power Pbs,c,max of the power battery, the optimization controller sends a control instruction, the power battery is started to fully recover the braking energy in a state of charge, and meanwhile, the range extender is started to synchronously assist in charging, so that the charging power of the power battery reaches the maximum charging power Pbs,c,max to supplement the electric quantity of the power battery;
S306, returning to the first step after the braking process is executed.
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FIG. 1 is a flowchart of an extended range hybrid system optimization control method based on demand power prediction according to the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention will be readily apparent, a more particular description of embodiments of the invention will be rendered by reference to the appended drawings, which together with the appended drawings form a part, but not all, of embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
As shown in FIG. 1, the method for optimizing and controlling the extended range hybrid system based on the demand power prediction comprises the following specific steps:
Step one, an optimization controller judges the running state of an extended range hybrid vehicle, determines whether the extended range hybrid vehicle is in a driving state or a braking state, predicts the running required power of the extended range hybrid vehicle, acquires a power generation state of an extended range device and a charge state signal of a power battery, and if the extended range hybrid vehicle is in the driving state, the step two is carried out, and if the extended range hybrid vehicle is in the braking state, the step three is carried out;
Step two, an optimal controller obtains the current driving running state of the range extender hybrid vehicle, and predicts the driving required power of the range extender hybrid vehicle, and the optimal controller obtains the power generation state of the range extender and the charge state signal of the power battery, and determines the power ratio of the power generation of the range extender and the discharge participation driving of the power battery according to a logic algorithm;
And thirdly, judging whether the kinetic energy recovered by the power battery or the synchronous auxiliary charging of the range extender is needed or not by the optimal controller according to the current braking power of the range extender and the state of charge information of the power battery and a logic algorithm, and determining the power ratio of the power generation of the range extender and the recovery of the kinetic energy of the power battery.
The specific process of the first step is as follows:
s101, an optimization controller obtains the current driving running state of the extended range hybrid vehicle;
S102, the optimization controller acquires a required power signal Pm of a driving motor of the extended-range hybrid vehicle, if the required power Pm of the driving motor is positive, the extended-range hybrid vehicle is determined to be in a driving state and is transferred to the step two, and if the required power Pm of the driving motor is negative, the extended-range hybrid vehicle is determined to be in a braking state and is transferred to the step three.
The specific process of the second step is as follows:
S201, an optimization controller obtains the current driving running state of the extended range hybrid vehicle;
s202, an optimization controller predicts driving required power of the extended range hybrid vehicle;
s203, the optimal controller acquires a power generation state of the range extender and a charge state signal of the power battery;
S204, if the state of charge (SOC) of the power battery is within a preset high-efficiency SOC range and the predicted driving required power Pm is smaller than the upper limit Pbs,max of the discharging power of the power battery, the predicted driving required power Pm is provided by the discharging of the power battery;
S205, if the state of charge (SOC) of the power battery is within a preset high-efficiency SOC range and the predicted driving required power Pm is greater than the upper limit Pbs,max of the discharging power of the power battery, the optimal controller sends a control instruction, the power battery starts a maximum power discharging state, and the residual driving required power is provided by discharging of the range extender;
S206, if the state of charge (SOC) of the power battery is smaller than the lower limit value of a preset high-efficiency SOC range and the predicted driving required power Pm is larger than the upper limit Pes,max of the power generation power of the range extender, the optimal controller sends a control instruction, the range extender starts the maximum power generation state, and the residual driving required power is provided by discharging the power battery;
S207, if the state of charge (SOC) of the power battery is smaller than the lower limit value of a preset high-efficiency SOC range and the predicted driving required power Pm is smaller than the upper limit Pes,max of the power generation power of the range extender, the optimization controller sends out a control instruction, and the range extender generates power to provide all required power;
s208, returning to the step one after the driving process is executed.
The specific process of the third step is as follows:
s301, an optimization controller acquires the current driving running state of the extended range hybrid vehicle;
s302, the optimization controller predicts the braking driving demand power of the extended range hybrid vehicle;
S303, if the state of charge (SOC) of the power battery is smaller than a preset maximum value (SOCmax) and the predicted driving required power Pm is larger than the maximum charging power Pbs,c,max of the power battery, the optimal controller sends a control instruction, and the power battery starts the state of charge and recovers the braking energy of the vehicle by the maximum charging power;
S304, if the state of charge SOC of the power battery is smaller than a preset maximum value SOCmax and larger than a preset minimum value SOCmin, and the predicted driving required power Pm is smaller than the maximum charging power Pbs,c,max of the power battery, the optimization controller sends a control instruction, and the power battery starts the state of charge to recover all braking energy;
S305, if the state of charge SOC of the power battery is smaller than a preset minimum value SOCmin and the required power Pm of the driving motor is smaller than the maximum charging power Pbs,c,max of the power battery, the optimization controller sends a control instruction, the power battery is started to fully recover the braking energy in a state of charge, and meanwhile, the range extender is started to synchronously assist in charging, so that the charging power of the power battery reaches the maximum charging power Pbs,c,max to supplement the electric quantity of the power battery;
S306, returning to the first step after the braking process is executed.

Claims (4)

Translated fromChinese
1.一种基于需求功率预测的增程式混动系统优化控制方法,其特征在于,具体步骤如下:1. A method for optimizing and controlling a range-extended hybrid system based on power demand prediction, characterized in that the specific steps are as follows:步骤一,优化控制器判断增程式混动车辆的行驶状态,确定所述增程式混动车辆处于驱动还是制动状态,并对所述增程式混动车辆的行驶需求功率进行预测,并获取增程器发电状态和动力电池的荷电状态信号,若所述增程式混动车辆处于驱动状态,则转至步骤二,若所述增程式混动车辆处于制动状态,则转至步骤三;Step 1: The optimization controller determines the driving state of the extended-range hybrid vehicle, determines whether the extended-range hybrid vehicle is in a driving state or a braking state, predicts the driving power demand of the extended-range hybrid vehicle, and obtains the power generation state of the range extender and the charge state signal of the power battery. If the extended-range hybrid vehicle is in a driving state, the process proceeds to step 2; if the extended-range hybrid vehicle is in a braking state, the process proceeds to step 3;步骤二,优化控制器获取当前的所述增程式混动车辆的驱动行驶状态,并进行所述增程式混动车辆的驱动需求功率预测,所述优化控制器获取增程器发电状态和动力电池的荷电状态信号,根据逻辑算法确定增程器发电与动力电池放电参与驱动的功率配比;Step 2: 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 power generation state of the range extender and the charge state signal of the power battery, and determines the power ratio of the range extender power generation and the power battery discharge to participate in the driving according to the logic algorithm;步骤三,优化控制器根据当前的所述增程式混动车辆制动功率以及动力电池荷电状态信息,根据逻辑算法判断是否需要动力电池回收动能或增程器同步辅助充电,并确定增程器发电与动力电池动能回收的功率配比。Step three, the optimization controller determines whether the power battery needs to recover kinetic energy or the range extender needs to be synchronously charged according to the current braking power of the extended-range hybrid vehicle and the power battery charge state information, and determines the power ratio of the range extender power generation and the power battery kinetic energy recovery according to the logic algorithm.2.根据权利要求1所述的一种基于需求功率预测的增程式混动系统优化控制方法,其特征在于,步骤一的具体过程如下:2. The method for optimizing and controlling a range-extended hybrid system based on power demand prediction according to claim 1, wherein the specific process of step 1 is as follows:S101:优化控制器获取当前的所述增程式混动车辆的驱动行驶状态;S101: Optimizing the controller to obtain the current driving state of the extended-range hybrid vehicle;S102:优化控制器获取所述增程式混动车辆驱动电机的需求功率信号Pm,若驱动电机的需求功率Pm为正值,确定所述增程式混动车辆处于驱动状态并转至步骤二,若驱动电机的需求功率Pm为负值,确定所述增程式混动车辆处于制动状态并转至步骤三。S102: The optimization controller obtains a required power signal Pm of the driving motor of the extended-range hybrid vehicle. If the required power Pm of the driving motor is a positive value, it is determined that the extended-range hybrid vehicle is in a driving state and the process goes to step 2. If the required power Pm of the driving motor is a negative value, it is determined that the extended-range hybrid vehicle is in a braking state and the process goes to step 3.3.根据权利要求1所述的一种基于需求功率预测的增程式混动系统优化控制方法,其特征在于,步骤二的具体过程如下:3. The method for optimizing and controlling a range-extended hybrid system based on power demand prediction according to claim 1, wherein the specific process of step 2 is as follows:S201:优化控制器获取当前的所述增程式混动车辆的驱动行驶状态;S201: Optimizing the controller to obtain the current driving state of the extended-range hybrid vehicle;S202:优化控制器对所述增程式混动车辆进行驱动行驶需求功率预测;S202: optimizing the controller to predict the driving power demand of the extended-range hybrid vehicle;S203:所述优化控制器获取增程器发电状态和动力电池的荷电状态信号;S203: The optimization controller obtains the power generation state of the range extender and the charge state signal of the power battery;S204:若动力电池荷电状态SOC在预设高效率SOC范围之内,且所述预测驱动行驶需求功率Pm小于动力电池放电功率上限Pbs,max,则所述预测驱动行驶需求功率Pm全部由动力电池放电提供;S204: If the power battery state of charge SOC is within the preset high-efficiency SOC range, and the predicted driving driving demand power Pm is less than the power battery discharge power upper limit Pbs,max , the predicted driving driving demand power Pm is fully provided by the power battery discharge;S205:若动力电池荷电状态SOC在预设高效率SOC范围之内,且所述预测驱动行驶需求功率Pm大于动力电池放电功率上限Pbs,max,则优化控制器发出控制指令,所述动力电池开启最大功率放电状态,剩余驱动行驶需求功率由所述增程器放电提供;S205: If the power battery state of charge SOC is within the preset high-efficiency SOC range, and the predicted driving driving demand powerPm is greater than the power battery discharge power upper limit Pbs,max , the optimization controller issues a control instruction, the power battery starts the maximum power discharge state, and the remaining driving driving demand power is provided by the range extender discharge;S206:若动力电池荷电状态SOC小于预设高效率SOC范围的下限值,且所述预测驱动行驶需求功率Pm大于所述增程器发电功率上限Pes,max,则优化控制器发出控制指令,所述增程器开启最大功率发电状态,剩余驱动行驶需求功率由动力电池放电提供;S206: If the power battery state of charge SOC is less than the lower limit of the preset high-efficiency SOC range, and the predicted driving driving demand powerPm is greater than the upper limit of the range extender power generation power Pes,max , the optimization controller issues a control instruction, the range extender starts the maximum power generation state, and the remaining driving driving demand power is provided by the power battery discharge;S207:若动力电池荷电状态SOC小于预设高效率SOC范围的下限值,且所述预测驱动行驶需求功率Pm小于所述增程器发电功率上限Pes,max,则优化控制器发出控制指令,所述增程器发电提供全部需求功率;S207: If the power battery state of charge SOC is less than the lower limit of the preset high-efficiency SOC range, and the predicted driving demand powerPm is less than the upper limit of the range extender power generation power Pes,max , the optimization controller issues a control instruction, and the range extender generates power to provide all the required power;S208:本次驱动过程执行完毕后,返回步骤一。S208: After the current driving process is completed, return to step 1.4.根据权利要求1所述的一种基于需求功率预测的增程式混动系统优化控制方法,其特征在于,步骤三的具体过程如下:、4. The method for optimizing and controlling a range-extended hybrid system based on power demand prediction according to claim 1 is characterized in that the specific process of step three is as follows:S301:优化控制器获取当前的所述增程式混动车辆的驱动行驶状态;S301: Optimizing the controller to obtain the current driving state of the extended-range hybrid vehicle;S302:优化控制器对所述增程式混动车辆进行制动行驶需求功率预测;S302: optimizing the controller to predict the braking driving power requirement of the extended-range hybrid vehicle;S303:若所述动力电池荷电状态SOC小于预设最高值SOCmax,且所述预测驱动行驶需求功率Pm大于动力电池的最大充电功率Pbs,c,max,则优化控制器发出控制指令,所述动力电池开启充电状态,以最大充电功率对车辆制动能量进行回收;S303: If the power battery state of charge SOC is less than a preset maximum value SOCmax , and the predicted driving demand power Pm is greater than the maximum charging power Pbs,c,max of the power battery, the optimization controller issues a control instruction, and the power battery starts charging to recover the vehicle braking energy at the maximum charging power;S304:若所述动力电池荷电状态SOC小于预设最高值SOCmax且大于预设最低值SOCmin,且所述所述预测驱动行驶需求功率Pm小于动力电池的最大充电功率Pbs,c,max,则优化控制器发出控制指令,所述动力电池开启充电状态,对全部制动能量进行回收;S304: If the power battery state of charge SOC is less than a preset maximum value SOCmax and greater than a preset minimum value SOCmin , and the predicted driving demand power Pm is less than the maximum charging power Pbs,c,max of the power battery, the optimization controller issues a control instruction, and the power battery starts the charging state to recover all braking energy;S305:若所述动力电池荷电状态SOC小于预设最低值SOCmin,且所述驱动电机的需求功率Pm小于动力电池的最大充电功率Pbs,c,max,则优化控制器发出控制指令,所述动力电池开启充电状态对制动能量进行全部回收,同时开启增程器同步辅助充电,使动力电池充电功率达到最大充电功率Pbs,c,max以补充动力电池电量;S305: If the state of charge SOC of the power battery is less than the preset minimum value SOCmin , and the required power Pm of the drive motor is less than the maximum charging power Pbs,c,max of the power battery, the optimization controller issues a control instruction, the power battery starts the charging state to recover all the braking energy, and the range extender is started for synchronous auxiliary charging, so that the charging power of the power battery reaches the maximum charging power Pbs,c,max to replenish the power of the power battery;S306:本次制动过程执行完毕后,返回步骤一。S306: After the braking process is completed, return to step 1.
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