阅读说明：本技术 一种混合动力发动机齿讯学习方法 (Hybrid power engine gear information learning method ) 是由 彭红涛 吴磊 张翼鹏 余绍鹏 周敏华 于 2020-04-26 设计创作，主要内容包括：本发明涉及混合动力汽车发动机技术领域,具体涉及一种混合动力发动机齿讯学习方法。包括步骤1,通过诊断仪向车辆的EMS和/或VCU发送齿讯学习指令；步骤2,EMS或诊断仪向VCU发送齿讯学习辅助命令；步骤3,VCU启动发动机,并使发动机进入怠速状态；步骤4,控制发动机转速上升至设定的转速上限,并在发动机水温达到设定的温度限值后,对发动机断油；步骤5,当发动机转速下降至设定的转速下限时,恢复发动机供油；步骤6,重复步骤4～5,直至达到设定的最大学习次数后,不再对发动机断油,并恢复发动机转速至不低于设定的转速上限；步骤7,EMS记录齿讯学习数据,并向诊断仪反馈结果。(The invention relates to the technical field of hybrid electric vehicle engines, in particular to a hybrid electric vehicle engine gear information learning method. The method comprises the following steps that 1, a diagnostic instrument sends a gear information learning instruction to an EMS and/or a VCU of a vehicle; step 2, the EMS or the diagnostic instrument sends a tooth information learning auxiliary command to the VCU; step 3, starting the engine by the VCU, and enabling the engine to enter an idling state; step 4, controlling the rotating speed of the engine to rise to a set rotating speed upper limit, and cutting off oil for the engine after the water temperature of the engine reaches a set temperature limit value; step 5, when the rotating speed of the engine is reduced to a set rotating speed lower limit, oil supply of the engine is recovered; step 6, repeating the steps 4-5 until the set maximum learning times are reached, stopping oil supply for the engine, and recovering the rotating speed of the engine to be not lower than the set upper limit of the rotating speed; and 7, recording the tooth information learning data by the EMS, and feeding back a result to the diagnostic instrument.)

1. A hybrid power engine gear information learning method is characterized in that: comprises that

Step 1, transmitting a gear information learning instruction to an EMS and/or a VCU of a vehicle through a diagnostic instrument;

step 2, the EMS or the diagnostic instrument sends a tooth information learning auxiliary command to the VCU;

step 3, starting the engine by the VCU, and enabling the engine to enter an idling state;

step 4, controlling the rotating speed of the engine to rise to a set rotating speed upper limit, and cutting off oil for the engine after the water temperature of the engine reaches a set temperature limit value;

step 5, when the rotating speed of the engine is reduced to a set rotating speed lower limit, oil supply of the engine is recovered;

step 6, repeating the steps 4-5 until the set maximum learning times are reached, stopping oil supply for the engine, and recovering the rotating speed of the engine to be not lower than the set upper limit of the rotating speed;

step 7, the EMS records the tooth information learning data and feeds back the result to the diagnostic instrument;

step 8, the EMS or the diagnostic instrument sends a stop gear learning auxiliary command to the vehicle;

step 9, the VCU controls the EMS to close the engine;

step 10, EMS stores the learning result of the tooth information.

2. The hybrid engine tooth learning method according to claim 1, characterized in that: the EMS stores the tooth information learning result in Eeprom.

3. The hybrid engine tooth learning method according to claim 1, characterized in that: before the step 1 is executed, the conditions that the high voltage and the diagnostic instrument on the whole vehicle are communicated with the EMS and/or the VCU are required to be met, and the security access algorithm is passed are met.

4. The hybrid engine tooth learning method according to claim 1, characterized in that: the method for controlling the rise of the engine speed comprises the following steps

The VCU sends a speed or torque command to the EMS, which controls the engine speed based on the received speed or torque, or

The EMS controls the rotating speed of the transmitter according to an accelerator pedal signal sent by a driver.

5. The hybrid engine tooth learning method according to claim 1, characterized in that: the set upper limit of the rotation speed is 4500rpm, and the set lower limit of the rotation speed is 1500 rpm.

6. The hybrid engine tooth learning method according to claim 1, characterized in that: the set temperature limit is 70 ℃.

7. The hybrid engine tooth learning method according to claim 1, characterized in that: the set maximum learning times are 3-10 times.

8. The hybrid engine tooth learning method according to claim 1, characterized in that: when the engine rotating speed is detected to be maintained at the set rotating speed upper limit or the fault lamp is turned off, the diagnostic instrument sends a signal to the EMS of the vehicle to inquire the gear information learning result, if a negative response is returned, the number of times of failure of the gear information learning is recorded, and the previous step is returned to restart the gear information learning.

Technical Field

The invention relates to the technical field of hybrid electric vehicle engines, in particular to a hybrid electric vehicle engine gear information learning method.

Background

With the increasing severity of energy and pollution problems, the demand for hybrid vehicles has become increasingly apparent, and hybrid vehicles have become increasingly popular. The hybrid vehicle includes at least two power units: an engine and a motor. The crankshaft position signal is an important control basis of the electronic control engine, but the difference of the crankshaft position signals on different engines is caused by the deviation of fluted disc machining and the installation position of the crankshaft position sensor, and in addition, the reference loss can be caused if the sensor is replaced. Tooth learning can correct for these differences, ensuring accurate crankshaft run times in misfire diagnostics.

After the automobile is off-line, the conventional tooth information learning arrangement has a tooth information learning procedure, and an engineer uses special equipment to control an engine to learn tooth information coefficients. The fluted disc is changed to the engine, still need the maintenance personal to carry out tooth news study again. For a hybrid electric vehicle, when the electric quantity is enough, the engine does not need to be started, but the engine needs to be started during the gear information learning, so the gear information learning is different from the engine starting mode under the normal working condition, the control of the engine is different, and the gear information learning process is different. When the automobile is off-line, if the electric quantity of the power battery is sufficient, the engine cannot be started, the engine must be started by manually calibrating or enabling the electric quantity of the power battery to be reduced, and the tooth information learning effect cannot be controlled.

Disclosure of Invention

The invention aims to provide a hybrid power engine gear information learning method aiming at the defects of the prior art. The diagnostic instrument can be communicated with a VCU and an EMS to carry out tooth information learning and feedback of tooth information learning results; and the rotating speed of the engine is controlled to rise and fall based on VCU or EMS, so that the engine gear information learning is realized.

The technical scheme of the invention is as follows:

a hybrid engine gear information learning method comprises the following steps:

step 1, transmitting a gear information learning instruction to an EMS and/or a VCU of a vehicle through a diagnostic instrument;

step 2, the EMS or the diagnostic instrument sends a tooth information learning auxiliary command to the VCU;

step 3, starting the engine by the VCU, and enabling the engine to enter an idling state;

step 4, controlling the rotating speed of the engine to rise to a set rotating speed upper limit, and cutting off oil for the engine after the water temperature of the engine reaches a set temperature limit value;

step 5, when the rotating speed of the engine is reduced to a set rotating speed lower limit, oil supply of the engine is recovered;

step 6, repeating the steps 4-5 until the set maximum learning times are reached, stopping oil supply for the engine, and recovering the rotating speed of the engine to be not lower than the set upper limit of the rotating speed;

step 7, the EMS records the tooth information learning data and feeds back the result to the diagnostic instrument;

step 8, the EMS or the diagnostic instrument sends a stop gear learning auxiliary command to the vehicle;

step 9, the VCU controls the EMS to close the engine;

step 10, EMS stores the learning result of the tooth information.

Preferably, the EMS stores the tooth information learning result in Eeprom.

Preferably, before the step 1 is executed, the requirement that the communication between the high voltage electricity and the diagnostic instrument on the whole vehicle and the EMS and/or VCU is established is met, and the security access algorithm is passed.

Preferably, the method for controlling the engine speed to rise is that the VCU sends a speed or torque command to the EMS, and the EMS controls the engine speed according to the received speed or torque, or

The EMS controls the rotating speed of the transmitter according to an accelerator pedal signal sent by a driver.

Preferably, the set upper rotational speed limit is 4500rpm, and the set lower rotational speed limit is 1500 rpm.

More preferably, the set temperature limit is 70 ℃.

Preferably, the set maximum learning times is 3 to 10 times.

Preferably, when it is detected that the engine speed is maintained at the set upper limit of the engine speed or the fault lamp is turned off, the diagnostic device sends a signal to the EMS of the vehicle to inquire about the result of the gear learning, and if a negative response is returned, the number of times of failure of the gear learning is recorded, and the process returns to the previous step to restart the gear learning.

The invention has the beneficial effects that: performing tooth information learning and tooth information learning result feedback through the communication of the diagnostic instrument, the VCU and the EMS; the rotating speed of the engine is increased under the control of a Vehicle Control Unit (VCU) or an Engine Management System (EMS), the rotating speed of the engine is reduced under the control of the VCU or the EMS, and the rotating speed of the engine is controlled to be increased or decreased based on the control, so that the gear information learning working condition is met, and the gear information learning process is completed. The whole gear information learning process is automatically controlled, is fully automatic and simple to operate, and solves the problem that the gear information learning of a hybrid electric vehicle cannot be effectively finished by adopting a traditional gear information learning method when a power battery is sufficient.

Drawings

FIG. 1 is a schematic diagram of a system architecture for implementing a hybrid engine gear learning method of the present invention;

FIG. 2 is a flow chart of a method for learning gear information of a hybrid engine.

Detailed Description

The invention will be further described in detail with reference to the following drawings and specific examples, which are not intended to limit the invention, but are for clear understanding.

As shown in fig. 1, a system for implementing a hybrid engine gear learning method according to the present invention mainly includes a vehicle control unit VCU, an engine management system EMS, a generator controller GCU, a diagnostic device, and the like.

The VCU controls the generator to start the engine and sends a control command to the EMS to indirectly control the engine;

EMS, control the engine, accept the position sensor signal of the crankshaft, accept VCU control signal and carry on the tooth news study;

the GCU receives a VCU control command and drags the engine to start;

the diagnostic instrument sends out the tooth information learning instruction, feeds back the tooth information learning result and clears the fault lamp.

As shown in fig. 2, the process of the hybrid engine tooth information learning method of the present invention is as follows:

firstly, entering a tooth learning mode:

firstly, the gear is in the P gear, the brake is stepped on, the key is screwed to the start gear, and the high pressure is applied to the whole vehicle;

secondly, connecting a diagnostic instrument, wherein the diagnostic instrument is communicated with the EMS or the diagnostic instrument is communicated with the VCU and the EMS;

thirdly, carrying out security access verification on the diagnostic instrument and the EMS or the diagnostic instrument, the VCU and the EMS, and enabling a security access algorithm to pass;

fourthly, the diagnostic instrument sends a tooth information learning request to the EMS or the VCU and the EMS, and enters tooth information learning;

fifthly, the EMS sends a tooth information learning auxiliary command to the VCU or the diagnostic instrument sends the tooth information learning auxiliary command to the VCU;

then, a tooth learning process is performed:

firstly, the VCU receives a gear learning auxiliary command;

secondly, the VCU controls the GCU to start the engine;

thirdly, the GCU responds to the VCU torque instruction, the generator works, and the rotating speed of the generator rises;

fourthly, the generator drags the engine to rotate, so that the engine is dragged to a certain rotating speed;

fifthly, after the rotating speed of the engine reaches a certain rotating speed and is stable, the EMS normally responds to an oil injection instruction of the VCU, the engine injects oil and ignites, and the engine maintains the idle rotating speed;

sixthly, the operator steps on the accelerator, the rotating speed of the engine is increased, the engine can be controlled by VCU through a rotating speed or torque instruction to EMS, or the EMS directly controls the engine according to an accelerator pedal signal, the rotating speed is controlled through PI regulation, the rotating speed of the engine is increased to 4500rpm, and meanwhile, the VCU gives a GCU torque instruction of 0 Nm;

seventhly, continuously running the engine, and waiting for the water temperature of the engine to rise;

eighthly, after the EMS judges that the water temperature of the engine reaches the gear information learning requirement limit value (such as 70 ℃), the engine is cut off, the oil cut can be realized by controlling the EMS through an oil cut instruction by a VCU (virtual control unit), or by directly cutting off the oil by the EMS, the oil supply is recovered after the rotating speed of the engine is reduced to 1500rpm (which can be calibrated), the EMS responds the instruction of the VCU again or controls the rotating speed of the engine to be increased according to an accelerator pedal, the oscillation is carried out for 3-10 times (the maximum learning frequency), after the EMS gear information learning is finished, the engine is not cut off, and the rotating speed of the recovered engine is maintained to be above 450;

and finally, finishing the tooth information learning process:

firstly, after detecting that the rotating speed of an engine is maintained at 4500rpm (capable of being calibrated) or a fault lamp is turned off, an operator sends information to an EMS through a diagnostic instrument to inquire a tooth message learning result, if a negative response is returned, the number of times of failure of tooth message learning is recorded, and the previous step is returned to restart the tooth message learning;

secondly, after the learning of the tooth information is successful, the EMS records the learning data of the tooth information, and the EMS feeds back a result to the diagnostic instrument;

thirdly, the EMS sends an instruction to the VCU to stop the tooth message learning auxiliary process or the diagnostic instrument sends an instruction to stop the tooth message learning auxiliary process to the VCU;

fourthly, the VCU sends an instruction to the EMS to close the engine;

and fifthly, powering off the operator, putting the whole vehicle under high voltage, storing the tooth information learning result into the Eeprom by the EMS, and finishing the whole learning process.

Details not described in this specification are within the skill of the art that are well known to those skilled in the art.