Vehicle air suspension multi-air-path dynamic distribution system and method

Abstract

The invention relates to a vehicle air suspension multi-gas-path dynamic distribution system and method, a main gas chamber mechanism and a standby gas chamber mechanism are arranged, gas charging and discharging ports of the main gas chamber mechanism and the standby gas chamber mechanism are connected with a port I of an electromagnetic valve group module, and a port II of the electromagnetic valve group module is connected with a high-pressure gas system; a port III of the electromagnetic valve group module is connected with an exhaust station; and a control port of the electromagnetic valve group module is connected with the ECU control unit. The double-air-chamber redundancy design is adopted, safety is improved, the precise dynamic control method is combined, precise control over automobile air suspension is achieved, especially for electric automobiles, the deep reinforcement learning algorithm dynamically matches the driving style and road condition characteristics, energy is saved by 15% under the urban congestion working condition, the energy recovery mechanism of a 800V high-pressure platform is combined, and the energy recovery efficiency is improved. And the comprehensive energy consumption is reduced to below 12W. H / km. And a high-reliability and high-response suspension solution is provided for the intelligent electric vehicle.

Description

Technical Field

[0001] This invention relates to the field of automotive air suspension technology, specifically to a multi-air-path dynamic distribution system and method for automotive air suspension. Background Technology

[0002] Air suspension systems adjust a vehicle's load-bearing capacity and height by controlling the inflation and deflation of compressed air within air chambers. Compared to traditional leaf spring suspensions, air suspension maintains a constant chassis height, nearly constant natural frequency, and a nearly constant center of gravity during driving. Therefore, it offers superior comfort and safety, effectively protecting cargo and reducing the probability of damage, while also providing some protection to the road surface. Air suspension can improve loading and unloading efficiency, reduce tire wear, and lower fuel consumption by adjusting the air chamber height. Furthermore, air suspension systems are more space-efficient and lighter.

[0003] However, existing air suspension systems use airbags as the core adjustment component. Due to material fatigue or external punctures, airbags are prone to damage and have a shorter overall lifespan than leaf springs. In addition, air suspension systems need to quickly adjust the air volume of the airbags according to the vehicle's driving conditions to meet the needs of different conditions. Simply improving the software algorithm and computing power for the airbags is too costly. Therefore, it is particularly important to improve the control efficiency of the airbags by coordinating the improvement of the control system and control method. Summary of the Invention

[0004] I. Technical problems to be solved This invention addresses the shortcomings of existing technologies by proposing a dual-chamber redundant design in the system structure to improve safety. Combined with precise dynamic control methods, it achieves accurate control of the vehicle's air suspension, especially for electric vehicles. A deep reinforcement learning algorithm dynamically matches driving style and road condition characteristics, resulting in 15% energy savings in urban congestion conditions. Combined with the energy recovery mechanism of an 800V high-voltage platform, the overall energy consumption is reduced to below 12Wh / km. This provides a highly reliable and responsive suspension solution for intelligent electric vehicles.

[0005] II. Specific Technical Solutions A vehicle air suspension multi-airway dynamic distribution system is provided, which includes a main air chamber mechanism and a backup air chamber mechanism. The charging and discharging ports of the main air chamber mechanism and the backup air chamber mechanism are connected to port one of the solenoid valve group module. Port two of the solenoid valve group module is connected to the high-pressure gas system, and port three of the solenoid valve group module is connected to the exhaust station. The control port of the solenoid valve assembly module is connected to the ECU control unit.

[0006] Preferably, the main air chamber mechanism consists of four pressure chambers: front, rear, left, and right. A dividing solenoid valve is provided between the four pressure chambers to control the opening and closing of each pressure chamber. The control terminals of the split solenoid valves are connected to the ECU control unit.

[0007] Preferably, the ECU control unit is equipped with a control unit, the input of which is connected to a pressure sensor unit and an attitude sensor unit, and the output of which is connected to the solenoid valve assembly module; wherein the pressure sensor unit is used to monitor the stress distribution of the main air chamber mechanism and the backup air chamber mechanism, and the attitude sensor unit is used to detect vehicle attitude data.

[0008] Preferably, the main air chamber mechanism is lined with honeycomb aluminum alloy, and the shell is made of polyamide composite material, with a working pressure range of 0-2.5 MPa.

[0009] Preferably, the backup air chamber mechanism adopts a folding airbag structure, which is compressed and stored under normal conditions, and the emergency inflation and deployment time is ≤30ms.

[0010] A method for dynamic distribution of multiple air circuits in automotive air suspension, comprising the following steps: Step 1: Start the system and initialize the sensors and control valves; Step 2: Collect vehicle driving data in real time; Step 3: The collected data undergoes Kalman filtering to eliminate high-frequency noise; Step 4: Pressure loss planning and judgment. If the pressure loss exceeds the set threshold, proceed to Step 5; if it is less than the set threshold, return to Step 2. Step 5: Initiate the switching protocol and enter the pre-charge phase, pre-charging the backup gas chamber to 80% of the target pressure; Step Six: Enter the pressure synchronization stage and dynamically match the pressure gradients of the main / standby gas chambers; Step 7: Determine if the set threshold has been reached; otherwise, proceed to Step 6; otherwise, proceed to the next step. Step 8: Enter the gas circuit switching stage, close the main gas chamber isolation valve, and open the standby gas chamber output valve; Step 9: After switching to the standard, determine whether to reset. If yes, proceed to Step 1; otherwise, end.

[0011] The beneficial effects of this invention are as follows: 1. High reliability. The dual-chamber redundant design, with a main chamber and a folded backup chamber, combined with millisecond-level switching technology (≤50ms), creates a "fail-operation" safety mode, which can maintain more than 90% of the performance output even under extreme leakage conditions.

[0012] 2. Precise dynamic control. The eight-quadrant zone control system, consisting of four independent solenoid valves per axis, employs silicon nitride ceramic valve cores and PTFE sealing rings to achieve a rapid response with an action time of less than 3ms. Combined with a flow control accuracy of ±1.5%FS, it can perform millisecond-level fine-tuning of the vehicle's posture.

[0013] 3. Strong environmental adaptability. It integrates a -40℃ low-temperature elastomer and a centrifugal air drying system, which can operate stably in environments ranging from extremely cold (-40℃) to high (80℃). With the addition of 5μm-level particulate filtration, it completely solves the problems of sand and dust blockage and condensation corrosion.

[0014] 4. Intelligent maintenance system. An embedded piezoelectric sensor network monitors the stress distribution of the air chamber in real time. The life prediction model based on LSTM neural network (error <5%) can trigger maintenance warnings 3,000 kilometers in advance. Combined with the cartridge-type modular design, the replacement time of a single air chamber is reduced to 10 minutes, and maintenance costs are reduced by 60%.

[0015] 5. Full-scenario energy efficiency optimization. Deep reinforcement learning algorithms dynamically match driving style and road condition characteristics, saving 15% energy in urban congestion conditions. Combined with the energy recovery mechanism of the 800V high-voltage platform, the overall energy consumption is reduced to below 12W·h / km, providing a highly reliable and responsive suspension solution for intelligent electric vehicles. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the method of the present invention. Detailed Implementation

[0017] The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby providing a clearer and more explicit definition of the scope of protection of the present invention.

[0018] like Figure 1 The image shows a multi-circuit dynamic air distribution system for automotive air suspension, comprising a main air chamber mechanism and a backup air chamber mechanism. The main air chamber mechanism is lined with a honeycomb aluminum alloy and its shell is made of polyamide composite material, with a working pressure range of 0-2.5 MPa. The main air chamber mechanism consists of four pressure chambers: front, rear, left, and right. A segmented solenoid valve is installed between the four pressure chambers. The valve body uses a silicon nitride ceramic valve core and a PTFE sealing ring, with a wear resistance life >10 million cycles. It supports independent inflation and deflation of each zone, with a flow accuracy of ±1.5%FS, enabling millisecond-level fine-tuning of vehicle posture. This segmented solenoid valve is used to control the opening and closing of each pressure chamber. The charging and discharging ports of the main gas chamber mechanism and the backup gas chamber mechanism are connected to port one of the solenoid valve assembly module, port two of the solenoid valve assembly module is connected to the high-pressure gas system, and port three of the solenoid valve assembly module is connected to the exhaust station. The control port of the solenoid valve assembly module and the control terminal of the split solenoid valve are respectively connected to the ECU control unit. The ECU control unit is equipped with a control unit, the input terminal of which is connected to a pressure sensor unit and an attitude sensor unit, and the output terminal of the control unit is connected to the solenoid valve assembly module; wherein the pressure sensor unit is used to monitor the stress distribution of the main air chamber mechanism and the backup air chamber mechanism, and the attitude sensor unit is used to detect vehicle attitude data.

[0019] The backup air chamber mechanism adopts a folding airbag structure, which is compressed and stored under normal conditions, and the emergency inflation and deployment time is ≤30ms.

[0020] The specific steps of the multi-air-circuit dynamic distribution method for air suspension in a vehicle are as follows: Step 1: Start the system and initialize the sensors and control valves; Step 2: Collect vehicle driving data in real time; Step 3: The collected data undergoes Kalman filtering to eliminate high-frequency noise; Step 4: Pressure loss planning and judgment. If the pressure loss exceeds the set threshold, proceed to Step 5. If the pressure loss is less than the set threshold, return to Step 2. The specific set threshold is triggered when the main air chamber pressure loss rate is >5 kPa / s. Step 5: Initiate the switching protocol and enter the pre-charge phase (0-10ms), pre-charging the backup air chamber to 80% of the target pressure; Step Six: Enter the pressure synchronization phase for 10-40ms, dynamically matching the pressure gradient of the main / standby gas chambers; Step 7: Determine whether the set threshold has been reached, specifically ΔP≤20kPa. Otherwise, proceed to Step 6; otherwise, proceed to the next step. Step 8: 40-50ms into the gas circuit switching phase, close the main gas chamber isolation valve and open the backup gas chamber output valve; Step 9: After switching to the standard, determine whether to reset. If yes, proceed to Step 1; otherwise, end.

[0021] Among them, the data processing flow Multi-source signal acquisition: XYZ triaxial acceleration signal, sampling rate 1kHz, range ±20g, acquired by MEMS sensor, and high-frequency noise eliminated by Kalman filter; The wheel speed difference is based on a wheel speed sensor with a resolution of 0.1 km / h, calculated in real time, and uses a sliding window mean filter with a window length of 50 ms. Steering angle signal, accurate to ±0.5°, is read directly via the EPS system's CAN bus. Optimization decision based on Q-Learning: Feature fusion and standardization: The preprocessed data is input into the spatiotemporal feature extraction module to generate a 32-dimensional state vector containing time-domain statistics, frequency-domain energy distribution, and dynamic gradient features. The vector is then compressed to the [-1,1] interval using Min-Max normalization to ensure consistency of the algorithm input.

[0022] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims.

Claims

1. A multi-circuit dynamic air distribution system for automotive air suspension, characterized in that: It is equipped with a main gas chamber mechanism and a backup gas chamber mechanism. The charging and discharging ports of the main gas chamber mechanism and the backup gas chamber mechanism are connected to port one of the solenoid valve group module. Port two of the solenoid valve group module is connected to the high-pressure gas system, and port three of the solenoid valve group module is connected to the exhaust station. The control port of the solenoid valve assembly module is connected to the ECU control unit.

2. The multi-air-path dynamic distribution system for vehicle air suspension according to claim 1, characterized in that: The main air chamber mechanism consists of four pressure chambers: front, rear, left, and right. A dividing solenoid valve is installed between the four pressure chambers to control the opening and closing of each pressure chamber. The control terminals of the split solenoid valves are connected to the ECU control unit.

3. The multi-air-path dynamic distribution system for vehicle air suspension according to claim 1, characterized in that: The ECU control unit is equipped with a control unit, the input of which is connected to a pressure sensor unit and an attitude sensor unit, and the output of which is connected to the solenoid valve assembly module. The pressure sensor unit is used to monitor the stress distribution of the main air chamber mechanism and the backup air chamber mechanism, while the attitude sensor unit is used to detect vehicle attitude data.

4. The multi-air-path dynamic distribution system for vehicle air suspension according to claim 1, characterized in that: The main air chamber mechanism is lined with honeycomb aluminum alloy, and the shell is made of polyamide composite material. The working pressure range is 0-2.5 MPa.

5. The multi-air-path dynamic distribution system for vehicle air suspension according to claim 1, characterized in that: The backup air chamber mechanism adopts a folding airbag structure, which is compressed and stored under normal conditions, and the emergency inflation and deployment time is ≤30ms.

6. A method for dynamic distribution of multiple air circuits in automotive air suspension, characterized in that, The specific steps are as follows: Step 1: Start the system and initialize the sensors and control valves; Step 2: Collect vehicle driving data in real time; Step 3: The collected data undergoes Kalman filtering to eliminate high-frequency noise; Step 4: Pressure loss planning and judgment. If the pressure loss exceeds the set threshold, proceed to Step 5; if it is less than the set threshold, return to Step 2. Step 5: Initiate the switching protocol and enter the pre-charge phase, pre-charging the backup gas chamber to 80% of the target pressure; Step Six: Enter the pressure synchronization stage and dynamically match the pressure gradients of the main / standby gas chambers; Step 7: Determine if the set threshold has been reached; otherwise, proceed to Step 6; otherwise, proceed to the next step. Step 8: Enter the gas circuit switching stage, close the main gas chamber isolation valve, and open the standby gas chamber output valve; Step 9: After switching to the standard, determine whether to reset. If yes, proceed to Step 1; otherwise, end.

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