Intelligent lubrication control system and vehicle

Abstract

The invention discloses an intelligent lubrication control system and a vehicle, and the intelligent lubrication control system comprises a multi-mode sensing module which is configured to obtain oil supply state data and vehicle driving data; the control module is configured to predict the vehicle working condition based on the oil supply state data and the vehicle driving data to obtain a predicted working condition, and determine a corresponding lubrication strategy based on the predicted working condition; and the execution module comprises at least one of an oil way management unit, a heat management unit and an energy unit and is configured to execute corresponding actions based on the lubrication strategy. Through predictive control and seamless mode switching, it is ensured that a friction pair can obtain sufficient lubrication in time under any working condition, and engine abrasion is remarkably reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, and particularly relates to an intelligent lubrication control system and a vehicle. BACKGROUND

[0002] With the rapid development of hybrid technology, the lubrication system of a hybrid engine is required to be much higher than that of a traditional engine due to the frequent start-stop and the working characteristics of multiple working modes (pure electric drive, hybrid drive, engine direct drive, etc.) switching. The mainstream hybrid engine lubrication system adopts a scheme of parallel connection of a mechanical oil pump and an electric oil pump.

[0003] However, these technical solutions still have the following deficiencies: 1) Response lag: The control strategy of the existing system is mostly based on real-time feedback, and cannot predict the upcoming working condition changes (such as sudden acceleration and cold start). When the working condition changes suddenly, there is a delay of hundreds of milliseconds from the detection of the required changes to the establishment of the required oil pressure, which causes the key friction pairs to be in a poor lubrication state during this period, and aggravates the wear.

[0004] 2) Mode switching is not smooth: During the working mode switching of the hybrid engine, the cooperative control strategy of the mechanical pump and the electric pump is not intelligent enough, which may cause oil pressure fluctuations and affect the lubrication stability.

[0005] 3) Poor adaptability to low temperature environment: In an extremely low temperature environment, the viscosity of the oil increases sharply, the electric pump has high power consumption and low efficiency, it is difficult to quickly pump the oil to the remote friction pairs, and the cold start wear is serious. SUMMARY

[0006] Therefore, the purpose of the embodiments of the present application is to provide an intelligent lubrication control system and a vehicle, which can ensure that the friction pairs can obtain sufficient lubrication in time under any working condition through predictive control and seamless mode switching, and significantly reduce the engine wear.

[0007] The embodiments of the present application provide an intelligent lubrication control system, which comprises: a multi-modal perception module configured to acquire oil supply state data and vehicle driving data; a control module configured to predict the working condition of the vehicle based on the oil supply state data and the vehicle driving data, obtain a predicted working condition, and determine a corresponding lubrication strategy based on the predicted working condition; and an execution module comprising at least one of an oil circuit management unit, a thermal management unit and an energy unit, and configured to perform corresponding actions based on the lubrication strategy.

[0008] Exemplarily, the oil path management unit comprises an oil tank, a piezoelectric micro-injection device connected to the oil tank, a vortex distribution valve arranged at a branch of a main oil passage, a mechanical pump and an electric pump, the piezoelectric micro-injection device is used for oil injection lubrication of a friction pair, the vortex distribution valve is used for flow distribution to different lubrication points, and the mechanical pump and the electric pump are used for providing kinetic energy to the piezoelectric micro-injection device and the vortex distribution valve; the thermal management unit comprises a heating device, a motor waste heat recovery device and a variable flow cooling device, the heating device is used for heating engine oil, the motor waste heat recovery device is used for recovering residual heat of a motor and providing the residual heat to the heating device, and the variable flow cooling device is used for cooling engine oil; the energy unit comprises a power supply device and an energy recovery device; the power supply device is used for providing electric energy to the oil path management module and the thermal management unit, and the energy recovery device is used for recovering vehicle kinetic energy and providing the kinetic energy to the power supply device.

[0009] Exemplarily, the vehicle driving data comprises an accelerator pedal opening, a vehicle speed and a gear position, and the control module is further configured to: determine that the predicted working condition is an urgent acceleration working condition when a change rate of the accelerator pedal opening is greater than a preset threshold, and / or when a first preset condition is met based on the vehicle speed, the gear position and navigation map information.

[0010] Exemplarily, the control module is further configured to: determine that the lubrication strategy is to increase a rotation speed of the electric pump and preset the vortex distribution valve related to a high-speed bearing when the predicted working condition is the urgent acceleration working condition, and turn on the heating device and / or turn on the motor waste heat recovery device when the oil temperature is lower than a preset oil temperature.

[0011] Exemplarily, the control module is further configured to: determine that the predicted working condition is a high-speed cruising cut-in working condition when it is determined based on navigation map information that a road ahead is a high-speed road, and / or when a vehicle operation mode is a sports mode or a high-speed mode, and / or when it is learned based on historical habits that a driver's high-speed driving habit is fast acceleration.

[0012] Exemplarily, the control module is further configured to: determine that the lubrication strategy is to control a contribution proportion of the electric pump to be greater than a contribution proportion of the mechanical pump when driving into a high-speed toll station or a ramp, and increase the contribution proportion of the mechanical pump after driving out of the ramp, and increase an opening of the variable flow cooling device during high-speed driving to prevent the oil temperature from being too high when the predicted working condition is the high-speed cruising cut-in working condition.

[0013] Exemplarily, the control module is further configured to: identify a driving style based on the oil supply state data and the vehicle driving data, and adjust the lubrication strategy based on the driving style.

[0014] Exemplarily, the control module is further configured to determine the lubrication strategy as increasing a base oil pressure target value when the driving style is an aggressive driving style, and maintaining the heating device and / or the motor waste heat recovery device in a standby state during low-speed driving of the vehicle.

[0015] Exemplarily, the control module is further configured to determine the predicted working condition as a long downhill deceleration working condition when it is monitored that the accelerator pedal is released and the gear is in a forward gear, and / or when it is determined based on navigation map information that a road ahead is a long downhill road.

[0016] Exemplarily, the control module is further configured to determine the lubrication strategy as reducing the mechanical pump load and driving the electric pump by the power supply device and / or the energy recovery device, and adjusting the flow of the oil path distributed to the engine pistons and valves by the swirl distribution valve when the predicted working condition is the long downhill deceleration working condition.

[0017] Exemplarily, the control module is further configured to determine the predicted working condition as a parking engine-off working condition when a second preset condition is met based on the vehicle speed, the gear and navigation map information, and / or when it is learned based on historical habits that the driver's operation is a parking operation.

[0018] Exemplarily, the control module is further configured to determine the lubrication strategy as driving the piezoelectric micro-injection device to lubricate and cool the target components by the electric pump when the predicted working condition is the parking engine-off working condition.

[0019] Exemplarily, the intelligent lubrication control system further communicates with an external device, and the control module is further configured to determine the predicted working condition as a starting working condition when a vehicle starting signal is received through the external device.

[0020] Exemplarily, the control module is further configured to determine the lubrication strategy as starting the heating device to preheat the oil, and starting the motor waste heat recovery device when the predicted working condition is the starting working condition, and control the electric pump to start to pump the preheated oil to the lubrication point for pre-lubrication.

[0021] Exemplarily, the multi-modal perception module comprises a three-dimensional oil pressure sensor array, a multi-spectral oil temperature sensor and a non-contact wear particle monitoring sensor arranged at key nodes of the main oil gallery.

[0022] The application further provides a vehicle comprising the intelligent lubrication control system.

[0023] In the above embodiments, the intelligent lubrication control system includes: a multimodal sensing module configured to acquire fuel supply status data and vehicle driving data; a control module configured to predict vehicle operating conditions based on the fuel supply status data and vehicle driving data, obtain predicted operating conditions, and determine a corresponding lubrication strategy based on the predicted operating conditions; and an execution module including at least one of an oil circuit management unit, a thermal management unit, and an energy unit, configured to execute corresponding actions based on the lubrication strategy. This invention, through predictive control and seamless switching, ensures that the friction pairs receive timely and sufficient lubrication under any operating condition, significantly reducing engine wear. Attached Figure Description

[0024] Figure 1 A schematic diagram of an intelligent lubrication control system provided for an embodiment of this application; Figure 2 A schematic diagram of an oil circuit management unit provided for an embodiment of this application; Figure 3 A schematic diagram illustrating the thermal management module system management provided for embodiments of this application; Figure 4 A schematic diagram of the intelligent lubrication control system provided in the embodiments of this application. Detailed Implementation

[0025] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0026] Figure 1 This is a schematic diagram of an embodiment of the intelligent lubrication control system of this application.

[0027] As an example, such as Figure 1 As shown, the intelligent lubrication control system includes: a multimodal sensing module 101, configured to acquire oil supply status data and vehicle driving data; a control module 102, configured to predict vehicle operating conditions based on oil supply status data and vehicle driving data, obtain predicted operating conditions, and determine corresponding lubrication strategies based on predicted operating conditions; and an execution module 103, including at least one of an oil circuit management unit 201, a thermal management unit 202, and an energy unit 203, configured to execute corresponding actions based on the lubrication strategy.

[0028] Exemplarily, the multi-modal perception module 101 includes various types of sensors for acquiring oil supply state data and vehicle driving data. The control module 102 can be a controller, for example, a multi-core AI controller, in which one core controller is dedicated to real-time lubrication control, and another core controller is used to run a prediction algorithm (such as an LSTM deep learning model) and a multi-objective optimization decision algorithm, etc. The controller receives all sensor signals (oil supply state data and vehicle driving data), predicts the working condition of the vehicle according to the oil supply state data and the vehicle driving data, obtains the predicted working condition, determines the corresponding lubrication strategy based on the predicted working condition, and outputs instructions to control the actuators. The execution module 103 includes at least one of the oil circuit management unit 201, the thermal management unit 202, and the energy unit 203. According to the lubrication strategy, the corresponding actions are performed.

[0029] Exemplarily, in addition to the LSTM model, the prediction algorithm can also use a GRU network, a Transformer model, or other machine learning algorithms.

[0030] The intelligent lubrication control system of the present application solves the defects of the existing hybrid engine lubrication system, such as response lag, mode switching unevenness, poor low temperature performance, low energy efficiency, and lack of coordination between systems. Through predictive control and seamless mode switching, it ensures that the friction pair can obtain sufficient lubrication in any working condition, significantly reducing engine wear.

[0031] As an example, the multi-modal perception module 101 includes a three-dimensional oil pressure sensor array arranged at key nodes of the main oil circuit, a multi-spectral oil temperature sensor, and a non-contact wear particle monitoring sensor.

[0032] Exemplarily, the oil pressure at multiple key nodes of the oil circuit is obtained through the oil pressure sensor array, the oil temperature is obtained through the multi-spectral oil temperature sensor, and the engine wear condition is detected through the non-contact wear particle monitoring sensor. The wear particle monitoring sensor is connected to the control module, and a wear predictive maintenance algorithm can be built into the control module, for example, to track the performance degradation trend of the system and generate maintenance recommendations in advance.

[0033] The intelligent lubrication control system of the present application obtains oil supply state data through various sensors, providing a basis for subsequent working condition prediction. Through system health state monitoring, potential failures can be warned in advance, improving vehicle reliability and reducing maintenance costs.

[0034] As an example, the oil path management unit 201 includes an oil tank, a piezoelectric micro-injection device connected to the oil tank, a vortex distribution valve arranged at a branch of a main oil passage, a mechanical pump and an electric pump, the piezoelectric micro-injection device is used for oil injection lubrication of a friction pair, the vortex distribution valve is used for realizing flow distribution of different lubrication points, and the mechanical pump and the electric pump are used for providing kinetic energy for the piezoelectric micro-injection device and the vortex distribution valve; The heat management unit 202 includes a heating device, a motor waste heat recovery device and a variable flow cooling device, the heating device is used for heating the engine oil, the motor waste heat recovery device is used for recovering the remaining heat of the motor and providing to the heating device, and the variable flow cooling device is used for cooling the engine oil; The energy unit 203 includes a power supply device and an energy recovery device; the power supply device is used for providing electric energy for the oil path management module and the heat management unit, and the energy recovery device is used for recovering the kinetic energy of the vehicle and providing to the power supply device.

[0035] As an example, as shown in the figure, Figure 2 The oil path management unit 201 of the present application adopts double-pump cooperative oil supply, including a mechanical pump and an electric pump, which can be connected in parallel. The control module can instruct the mechanical pump and the electric pump to work alone or cooperatively. The oil path management unit 201 also includes an oil tank and a piezoelectric micro-injection device connected to the oil tank. The function of the oil tank is to store special engine oil prepared for pre-lubrication and transient lubrication, and can integrate a pressurizing mechanism (such as a small piston or low-pressure gas) to stably supply oil to the piezoelectric micro-injection device under instruction. The piezoelectric micro-injection device is composed of a piezoelectric micro-injector and an oil supply pipeline, which receives engine oil from the intelligent oil tank and can perform high-frequency and accurate oil injection to key parts such as piston skirts under the instruction of the controller. The oil path management unit 201 also includes a vortex distribution valve arranged at a branch of a main oil passage. The vortex distribution valve can be installed at the branch of the main oil passage, and a controllable oil vortex is generated by driving the valve core through electromagnetic force, and the flow resistance is changed by using the vortex effect, so as to realize the on-demand distribution of pressure and flow from the main oil passage to each branch oil path (such as to the crankshaft main journal, camshaft, piston cooling nozzle, etc.), and realize accurate on-demand distribution of oil pressure and flow to different lubrication points.

[0036] As an example, the heat management unit 202 includes a heating device, a motor waste heat recovery device and a variable flow cooling device. The heating device can be a semiconductor heating device integrated in the oil pan and the outer wall of the main oil passage, which can quickly heat the engine oil. The heating device can also be replaced by a high-pressure PTC heater. The motor waste heat recovery device can recover the waste heat of the driving motor and the electronic control system through a set of heat exchangers to be used for the cooling liquid in the heater, thereby indirectly heating the engine oil. The variable flow cooling device can increase the flow of the cooling liquid under high temperature working conditions to prevent the engine oil from overheating.

[0037] Exemplarily, the energy unit 203 comprises a power supply device and an energy recovery device. The power supply device can be a super capacitor, which is used to provide instantaneous high-power electricity for the electric pump and the heating device, so as to reduce the impact on the power battery. The power supply device can also be a high charge and discharge rate battery. The energy recovery device can recover energy when the vehicle is decelerated and braked, and charge the power supply device.

[0038] The intelligent lubrication control system of the present application can improve the comprehensive energy efficiency of the lubrication system through intelligent collaborative control and energy recovery. The multi-source thermal management system can quickly raise the oil temperature, ensure the fluidity of the oil in a low-temperature environment, ensure the lubrication effect, and improve the low-temperature operation performance.

[0039] As an example, the vehicle driving data comprises an accelerator pedal opening degree, a vehicle speed, and a gear position. The control module is further configured to: determine that the predicted working condition is an urgent acceleration working condition when a change rate of the accelerator pedal opening degree is greater than a preset threshold value, and / or when a first preset condition is met based on the vehicle speed, the gear position, and navigation map information.

[0040] Exemplarily, the system can monitor the change rate of the accelerator pedal opening degree in real time, and determine that the predicted working condition is an urgent acceleration working condition when the change rate of the accelerator pedal opening degree is greater than a preset threshold value. The present application uses the change rate of the accelerator pedal opening degree as a parameter instead of only the absolute opening degree value, which can more accurately predict the urgent acceleration working condition. The preset threshold value can be, for example, that the pedal opening degree increases from 20% to 80% within 300 milliseconds, which is the most direct intention signal of urgent acceleration.

[0041] Exemplarily, the working condition prediction can also be combined with the vehicle speed, the gear position, and the navigation map information. For example, in a state where the current vehicle speed is low and the gear position is low, and the navigation map information (such as a highway entrance ramp or a long straight road ahead), the control module can determine that the driver has a strong intention of urgent acceleration overtaking or lane changing based on an AI model, instead of only uniform slow driving, and determine that the predicted working condition is an urgent acceleration working condition.

[0042] As an example, the control module is further configured to: determine that the lubrication strategy is: increase the rotation speed of the electric pump, and preset the eddy current distribution valve related to the high-speed bearing; when the oil temperature is lower than a preset oil temperature, turn on the heating device and / or turn on the motor waste heat recovery device.

[0043] For example, when the predicted working condition is an urgent acceleration working condition, for example, in a "time window" when the driver's foot action starts but the engine torque has not fully responded (about 200-500 milliseconds in advance). The control module immediately executes: instructing the electric pump to speed up, for example, allowing the electric pump to quickly rise from standby speed to maximum efficiency speed, to establish a "pressure reserve" for the main oil passage. Pre-set the vortex distribution valve related to the high-speed bearing, for example, adjust the oil passage distribution valve to the high-speed bearing of the crankshaft, connecting rod, etc. in advance, reduce the flow resistance, and ensure the smoothness of the oil passage.

[0044] For example, in the urgent acceleration working condition, the heat management module is also used to start the heating device and / or start the motor waste heat recovery device when the oil temperature is lower than the preset oil temperature. For example, if the oil temperature is too low, start the semiconductor heating to fine-tune the oil viscosity to the optimal range. The motor waste heat recovery device can also be started to heat the oil. Of course, if the oil temperature is already in the optimal range, the heating device and the motor waste heat recovery device can remain closed.

[0045] The intelligent lubrication control system of the present application is ready when the engine requests high torque output, and high-pressure oil can instantly reach all high-speed friction pairs, completely avoiding the temporary poor lubrication caused by the delay in establishing oil pressure in traditional systems, and achieving a smooth experience of "power following the pedal and lubrication accompanying the sound".

[0046] As an example, the control module is also used to: when it is determined based on navigation map information that the road ahead is a highway, and / or when the vehicle operating mode is a sports mode or a high-speed mode, and / or when the driver's driving habit on the highway is learned to be fast acceleration based on historical habit learning, the predicted working condition is determined to be a high-speed cruise cut-in working condition.

[0047] For example, the system can predict the working condition based on navigation map information, for example, based on the navigation map information indicating that the vehicle is about to enter the highway, the navigation system provides the road type information ahead, at this time it can be determined that the predicted working condition is a high-speed cruise cut-in working condition.

[0048] For example, the working condition can also be predicted based on the vehicle operating mode, for example, the driver manually selects "sports" or "high-speed" driving mode. At this time, it can also be determined that the predicted working condition is a high-speed cruise cut-in working condition.

[0049] For example, the driver's habit can also be learned based on historical habit learning, for example, the AI identifies that the driver has more than 90% probability of increasing the speed to more than 100 km / h within 1 minute after entering the highway under similar road conditions.

[0050] As an example, the control module is also used to: when the predicted working condition is a high-speed cruise cut-in working condition, the lubrication strategy is determined to be: The contribution proportion of the electric pump is greater than that of the mechanical pump when entering the expressway toll station or ramp, and the contribution proportion of the mechanical pump is increased after exiting the ramp. During high-speed driving, the opening of the variable flow cooling device is increased to prevent the oil temperature from being too high.

[0051] For example, when the predicted working condition is the high-speed cruising cut-in working condition, the control module can start gradual adjustment when entering the expressway toll station or ramp. For example, the electric pump is mainly used on the ramp, that is, the contribution proportion of the electric pump is greater than that of the mechanical pump, and the contribution proportion of the mechanical pump is gradually increased during the process of entering the main road high-speed road, so that the system oil pressure is seamlessly transitioned from the "city mode" to the "high-speed mode".

[0052] For example, since the engine load is stable and the heat dissipation demand is increased during high-speed cruising, the system can also adjust the opening of the variable flow cooler in advance to prevent the oil temperature from being too high and causing viscosity to decrease.

[0053] The intelligent lubrication control system of the present application makes the working state of the entire lubrication system smooth during the high-speed cruising cut-in working condition, without any oil pressure step change caused by the sudden intervention or exit of the pump, ensuring the extreme smoothness of the engine during mode switching.

[0054] As an example, the control module is also used to identify the driving style based on the oil supply state data and vehicle driving data, and adjust the lubrication strategy based on the driving style.

[0055] For example, the system can also learn the driving style of the driver through GPS and daily trip records, for example, the algorithm identifies that the driver is in the "aggressive" mode (such as frequent and deep accelerator depression), and adjusts the lubrication strategy according to the driving style.

[0056] As an example, the control module is also used to determine that the lubrication strategy is: increase the basic oil pressure target value; maintain the heating device and / or motor waste heat recovery device in standby state during low-speed driving of the vehicle.

[0057] For example, when the driving style is an aggressive driving style, the control module can use a more aggressive lubrication strategy, which can increase the basic oil pressure target value, for example, by 5%-10%. Even at low speed, the heating device and / or motor waste heat recovery system are maintained in standby state to be ready for rapid heating of the oil at any time. The electric pump can also be put into "standby" state earlier to provide transient compensation.

[0058] As an example, the control module is further configured to determine the predicted working condition as the long downhill deceleration working condition when it is monitored that the accelerator pedal is released and the gear is in the forward gear, and / or, when it is determined based on the navigation map information that the road ahead is a long downhill road.

[0059] As an example, the control module is further configured to determine the predicted working condition as the long downhill deceleration working condition when it is monitored that the accelerator pedal is released and the gear is in the forward gear, and / or, when it is determined based on the navigation map information that the road ahead is a long downhill road.

[0060] As an example, the control module is further configured to determine the lubrication strategy as: reducing the mechanical pump load and controlling the electric pump driven by the power supply device and / or the energy recovery device; adjusting the flow of the oil circuit to the engine piston and valve distributed by the vortex distribution valve.

[0061] As an example, when the predicted working condition is the long downhill deceleration working condition, the control module enters the "energy recovery lubrication mode" in advance, that is, the system predicts that the engine will enter the reverse drag braking state in advance, reduces the load of the mechanical pump in advance, and instructs the electric pump to be driven by the power supply device and / or the energy recovery device. Since the engine combustion chamber does not work during reverse drag, but the piston, valve and other components are still in high-speed motion, the control module adjusts the flow of the oil circuit to the engine piston and valve distributed by the vortex distribution valve, so that the lubrication strategy focuses on the piston, valve and other components, and the oil circuit is optimized through the vortex distribution valve.

[0062] The intelligent lubrication control system of the present application has smoothly switched the lubrication system to a low-energy-consumption mode at the beginning of deceleration, which not only ensures necessary lubrication, but also maximizes energy recovery, and realizes high coordination between lubrication and vehicle energy management.

[0063] As an example, the control module is further configured to determine the predicted working condition as the parking engine-off working condition when the vehicle speed, gear and navigation map information meet the second preset condition, and / or, when the driver's operation is learned based on historical habits to be a parking operation.

[0064] As an example, the vehicle speed, gear and navigation map information meet the second preset condition, for example, the vehicle speed is lower than a certain threshold, the driver has shifted into P gear, and the brake pedal is released. When it is learned from the navigation map information that the vehicle is approaching the destination and the navigation trip is about to end, it is determined that the predicted working condition is the parking engine-off working condition.

[0065] Exemplarily, when learning from historical habits that the driver's operation is a parking operation, for example, the AI learns that the driver's typical parking operation is: "stop the car by pressing the brake → shift into P → pull the electronic handbrake → turn off the engine", and determines that the predicted working condition is a parking engine-off working condition.

[0066] As an example, the control module is further configured to: when the predicted working condition is a parking engine-off working condition, determine that the lubrication strategy is: The electric pump is controlled to drive the piezoelectric micro-jet device to lubricate and cool the target components.

[0067] Exemplarily, when the predicted working condition is a parking engine-off working condition, when the action of "shifting into P" occurs, the system predicts that the engine will be turned off in a few seconds, and the control module immediately controls the electric pump to drive a high-pressure pulse to perform the last forced lubrication and cooling of the high-heat-inertia components such as the turbocharger bearing. And start the "lag lubrication" program to prepare for the use of residual power to continue to dissipate heat for the turbocharger after the engine is turned off.

[0068] The intelligent lubrication control system of the present application effectively prevents the turbocharger from lacking oil and cooling after shutdown.

[0069] As an example, the intelligent lubrication control system also communicates with external devices, and the control module is further configured to: when receiving a vehicle start signal through the external device, determine that the predicted working condition is a start-up working condition.

[0070] Exemplarily, the intelligent lubrication control system also communicates with external devices, for example, the user is about to leave, and the vehicle is powered on. The control module learns through the vehicle network that the driver has unlocked the vehicle, predicts that the engine may be about to start, and determines that the predicted working condition is a start-up working condition.

[0071] As an example, the control module is further configured to: when the predicted working condition is a start-up working condition, determine that the lubrication strategy is: Start the heating device to preheat the oil, and start the motor waste heat recovery device; Control the electric pump to pump the preheated oil to the lubrication points for pre-lubrication.

[0072] Exemplarily, when the predicted working condition is a start-up working condition, the heating device is started to preheat the oil in the oil pan, and at the same time, the motor waste heat recovery system is instructed to start working (if the motor has waste heat). The electric oil pump is instructed to start, pumping the preheated oil to the lubrication points for pre-lubrication. When the driver presses the start button, the engine starts under the condition of sufficient lubrication, with extremely low wear.

[0073] Before cold start, the semiconductor heating and motor waste heat recovery system can be started at the same time, and multiple sources are coordinated to quickly raise the oil and water temperature, greatly improving the low-temperature fluidity.

[0074] Figure 3 is a schematic diagram of the thermal management module system management of an embodiment of the present application.

[0075] As shown in Figure 3 , the heating device is placed at the oil sump, the oil temperature can be obtained through the multi-spectral oil temperature sensor, and the control module determines whether the oil temperature is too low. If so, the semiconductor heater is turned on to quickly heat and accurately control the temperature. The motor preheating recovery device can also be turned on, and the heat of the motor preheating is recovered through the heat exchanger to provide the recovered heat to the heating device for oil temperature heating. Of course, if the oil temperature is too high, the variable flow cooler can be turned on to increase the cooling flow to prevent the oil temperature from overheating. Through the thermal management module, the oil temperature is stabilized in the optimal engine oil temperature range, and the engine oil with the temperature in the optimal engine oil temperature range is transmitted to the main oil gallery for lubrication.

[0076] As an example, when lubricating, a micro-pressure injection device is used to inject engine oil to the key friction pairs. The micro-pressure injection device is specifically applied to: 1) Pre-lubrication before engine start, for example, before the ignition signal is issued, engine oil is sprayed to each friction pair, especially the piston-cylinder liner, cam- rocker arm, etc. area, to establish an oil film.

[0077] 2) Post-lubrication after shutdown: after the engine is turned off, use the residual power to cool and lubricate the heat-concentrated parts for a short time.

[0078] 3) Transient condition compensation lubrication: under conditions such as sudden acceleration and heavy load, the main oil gallery pressure may fluctuate or still not enough to meet the instantaneous needs of the most remote / harsh friction pairs. At this time, the piezoelectric micro-injection device can be used as an auxiliary lubrication means to supplement oil to specific parts to ensure that nothing is missed.

[0079] 4) Auxiliary lubrication in ultra-low temperature environment: under extremely cold conditions, even if the main oil pump is working, the viscosity of the engine oil may still be too large to cause poor flowability.

[0080] Figure 4 is a specific schematic diagram of the intelligent lubrication control system of an embodiment of the present application.

[0081] As shown in Figure 4As shown, the intelligent lubrication control system includes a perception layer, a control center, and an execution layer. The perception layer includes, for example, oil pressure sensors, oil temperature sensors, and particle detection sensors, providing comprehensive real-time data for the system. The control center can include data fusion, working condition prediction algorithms, multi-objective optimization decision-making, and other algorithms. The perception layer monitors in real time, the control module predicts the working condition through the prediction algorithm, and adjusts the lubrication strategy according to the predicted working condition, eliminating lubrication delay and achieving "lubrication first, then demand". And the optimization decision-making algorithm always calculates the most energy-saving working mode combination (for example, only using an electric pump at low speed and low load, and mainly using a mechanical pump at high speed and high load, with an electric pump for compensation). Combined with AI algorithms, by learning driving habits, the system can predict the driver's intention and adjust the lubrication strategy in advance, making all mode switching seamless and smooth. The execution layer includes a dual-pump coordination system of mechanical and electric pumps, a thermal management module of semiconductor heating devices and motor preheating recovery devices, and an intelligent distribution device of piezoelectric micro-jet and vortex distribution valve, to realize the lubrication and temperature control of engine friction pairs. The control center also interacts with the interactive layer (such as a mobile phone and a car screen) to realize fault warning of system status.

[0082] The application also provides a vehicle comprising the intelligent lubrication control system described above.

[0083] It should be noted that the logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a list of executable instructions for implementing logic functions, which can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, a system including a processor, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this application, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport programs for use by or in connection with an instruction execution system, apparatus, or device, or in conjunction with such an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: electrical connections having one or more wires (electronic devices), portable computer disks (magnetic devices), random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or Flash memories), fiber optic devices, and portable compact disc read-only memories (CD ROMs). In addition, a computer-readable medium can even be paper or another suitable medium on which the program can be printed, as the program can be electronically obtained, for example, by optical scanning of the paper or other medium, followed by electronic conversion of the optical scanning into an electronically available program, and then storing the program in computer memory.

[0084] It should be understood that portions of the application can be implemented in hardware, software, firmware, or combinations thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware that is stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, implementation can be with any or a combination of the following technologies, which are all well-known in the art: a discrete logic circuit having logic gates for implementing logic functions upon an application of data signals, an application specific integrated circuit having appropriate combinational logic gates, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0085] In the description of the present application, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are contained in at least one embodiment or example of the present application. In the present application, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0086] In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application.

[0087] In addition, the terms "first", "second", etc. used in the embodiments of the present application are only for the purpose of description, and can not be understood as indicating or implying relative importance, or implicitly indicating the number of technical features referred to in the embodiments. Therefore, the features defined with "first", "second" and the like in the embodiments of the present application can be explicitly or implicitly indicated to include at least one of the features. In the description of the present application, the meaning of the word "plurality" is at least two or two or more, such as two, three, four, etc., unless otherwise specifically limited in the embodiments.

[0088] In the present application, unless otherwise explicitly specified or limited in the embodiments, the terms "mounting", "connecting", "connecting" and "fixing" and the like appearing in the embodiments should be understood in a broad sense, for example, the connection can be fixed connection, or detachable connection, or integral, can be understood, or mechanical connection, electrical connection, etc. Of course, it can also be directly connected, or indirectly connected through an intermediate medium, or it can be the internal communication of two elements, or the interaction relationship of two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific implementation situation.

[0089] In the present application, unless otherwise explicitly specified and limited, the first feature is "on" or "under" the second feature. The first and second features can be in direct contact, or the first and second features can be indirectly contacted through an intermediate medium. Moreover, the first feature can be above, above and above the second feature, or only indicates that the first feature is higher than the second feature in horizontal height. The first feature can be below, below and below the second feature, or only indicates that the first feature is lower than the second feature in horizontal height.

[0090] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application, and those skilled in the art can make changes, modifications, replacements and modifications to the above embodiments within the scope of the present application.

Claims

1. An intelligent lubrication control system, characterized in that, The system includes: The multimodal perception module is configured to acquire fuel supply status data and vehicle driving data; The control module is configured to predict the vehicle's operating condition based on the oil supply status data and vehicle driving data, obtain the predicted operating condition, and determine the corresponding lubrication strategy based on the predicted operating condition. The execution module, including at least one of an oil circuit management unit, a thermal management unit, and an energy unit, is configured to perform corresponding actions based on the lubrication strategy.

2. The intelligent lubrication control system according to claim 1, characterized in that, The oil circuit management unit includes an oil storage tank, a piezoelectric micro-injection device connected to the oil storage tank, a vortex distribution valve located at the branch of the main oil passage, a mechanical pump, and an electric pump. The piezoelectric micro-injection device is used to spray oil to lubricate the friction pair, the vortex distribution valve is used to realize the flow distribution to different lubrication points, and the mechanical pump and electric pump are used to provide kinetic energy to the piezoelectric micro-injection device and the vortex distribution valve. The thermal management unit includes a heating device, a motor waste heat recovery device, and a variable flow cooling device. The heating device is used to heat the engine oil, the motor waste heat recovery device is used to recover the residual heat of the motor and provide it to the heating device, and the variable flow cooling device is used to cool the engine oil. The energy unit includes a power supply device and an energy recovery device; the power supply device is used to provide electrical energy to the oil circuit management module and the thermal management unit, and the energy recovery device is used to recover the vehicle's kinetic energy and provide it to the power supply device.

3. The intelligent lubrication control system according to claim 1, characterized in that, The vehicle driving data includes accelerator pedal opening, vehicle speed, and gear. The control module is also used to: determine the predicted driving condition as a rapid acceleration condition when the rate of change of the accelerator pedal opening is greater than a preset threshold, and / or when the vehicle speed, the gear, and the navigation map information meet a first preset condition.

4. The intelligent lubrication control system according to claim 2, characterized in that, The control module is further configured to: determine the lubrication strategy as follows when the predicted operating condition is a rapid acceleration condition: Increase the speed of the electric pump and pre-install the vortex distribution valve associated with the high-speed bearing; When the oil temperature is lower than the preset oil temperature, the heating device and / or the motor waste heat recovery device shall be turned on.

5. The intelligent lubrication control system according to claim 1, characterized in that, The control module is also used for: When the road ahead is determined to be a highway based on navigation map information, and / or when the vehicle is in sport mode or high-speed mode, and / or when the driver's high-speed driving habit is determined to be rapid acceleration based on historical habit learning, the predicted operating condition is determined to be a high-speed cruise entry condition.

6. The intelligent lubrication control system according to claim 2, characterized in that, The control module is further configured to: determine the lubrication strategy as follows when the predicted operating condition is a high-speed cruise engagement condition: When entering a highway toll station or ramp, the contribution ratio of the electric pump is controlled to be greater than that of the mechanical pump, and after exiting the ramp, the contribution ratio of the mechanical pump is increased. During high-speed driving, the opening of the variable flow cooling device is increased to prevent the oil temperature from becoming too high.

7. The intelligent lubrication control system according to claim 1, characterized in that, The control module is also used to: identify driving style based on the fuel supply status data and the vehicle driving data, and adjust the lubrication strategy based on the driving style.

8. The intelligent lubrication control system according to claim 2, characterized in that, The control module is also used to: determine the lubrication strategy as follows when the driving style is an aggressive driving style: Increase the target value of the base oil pressure; During low-speed vehicle operation, the heating device and / or the motor waste heat recovery device are kept in standby mode.

9. The intelligent lubrication control system according to claim 1, characterized in that, The control module is also used to: when it detects that the accelerator pedal is released and the gear is in forward gear, and / or, when it is determined based on navigation map information that the road ahead is a long downhill road, determine that the predicted operating condition is a long downhill deceleration operating condition.

10. The intelligent lubrication control system according to claim 2, characterized in that, The control module is further configured to: determine the lubrication strategy as follows when the predicted operating condition is a long downhill deceleration condition: Reduce the load on the mechanical pump and control the electric pump driven by the power supply device and / or the energy recovery device; Adjust the flow rate of the oil circuit distributed to the engine piston and valves by the swirl distribution valve.

11. The intelligent lubrication control system according to claim 3, characterized in that, The control module is further configured to: determine the predicted operating condition as a parking and engine shutdown condition when the vehicle speed, gear position, and navigation map information meet the second preset conditions, and / or when the driver's operation is determined to be a parking operation based on historical habit learning.

12. The intelligent lubrication control system according to claim 2, characterized in that, The control module is further configured to: when the predicted operating condition is a shutdown condition, determine the lubrication strategy as follows: The electric pump is controlled to drive the piezoelectric micro-jet device to lubricate and cool the target component.

13. The intelligent lubrication control system according to claim 1, characterized in that, The intelligent lubrication control system also communicates with external devices, and the control module is further configured to: determine the predicted operating condition as the starting operating condition when a vehicle start signal is received through the external device.

14. The intelligent lubrication control system according to claim 2, characterized in that, The control module is further configured to: determine the lubrication strategy as follows when the predicted operating condition is the startup operating condition: Start the heating device to preheat the engine oil, and start the motor waste heat recovery device; The electric pump is started to pump the preheated oil to the lubrication points for pre-lubrication.

15. The intelligent lubrication control system according to claim 1, characterized in that, The multimodal sensing module includes a three-dimensional oil pressure sensor array, a multispectral oil temperature sensor, and a non-contact wear particle monitoring sensor arranged at key nodes of the main oil passage.

16. A vehicle, characterized in that, The vehicle includes the intelligent lubrication control system as described in any one of claims 1-15.

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