Intelligent automobile seat elastomer self-adapting adjustment system and method
Patent Information
- Application Number
- CN202611183765.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-08-05
- Publication Date
- 2026-09-25
AI Technical Summary
[0005]本发明的目的在于提供一种智能汽车座椅弹性体自适应调节系统及方法,解决了如何实现座椅弹性体张力根据乘员身体姿态的实时自适应调节的技术问题
本发明在基础专利所公开的弹性织物悬架结构及张力调节装置的基础上,通过增设压力传感器阵列和角位移传感器,由控制器统一接收传感信号并输出控制指令,使传感器从单纯的信息采集终端转变为闭环控制的感知前端,从而将原本仅具备静态开环调节能力的弹性织物悬架结构升级为具备乘员状态感知能力的智能自适应调节系统,既保留了原方案轻量化、装配简单的优点,又赋予了其根据乘员实时身体状态动态适配张力的智能化能力。
Smart Images

Figure CN122808555A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the technical field of automotive seats, and more particularly to an intelligent automotive seat elastomer adaptive adjustment system and method. Background Technology
[0002] With the growing acceptance of energy conservation and environmental protection concepts and the rapid development of new energy vehicles, lightweighting of automobiles has become an inevitable trend in the industry. At the same time, people's demands for driving and riding comfort are also increasing. Traditional car seats primarily use springs or steel wire structures for elastic support, which have drawbacks such as heavy weight, complex structure, inconvenient installation, uneven elastic deformation, uneven stress distribution, and potential safety hazards.
[0003] To address the aforementioned issues, the applicant previously filed an invention patent with patent number 201810286121.5, disclosing an automotive seat elastic suspension structure that uses reinforced elastic fabric to replace traditional springs, achieving both weight reduction and improved comfort. However, this technical solution still has shortcomings: it cannot automatically collect sensor data, cannot dynamically adjust according to the driver's or passenger's body posture, and lacks intelligent perception and adaptive adjustment capabilities.
[0004] In existing technologies, although there are some solutions that apply sensors to car seats, most of them are only used for static posture monitoring or health reminders, and do not form a closed-loop control with active actuators. The sensors are only used as information acquisition terminals, and their output signals are not used to drive the tension adjustment actuator in real time. Therefore, it is impossible to achieve real-time dynamic adaptive adjustment of the tension of the seat elastomer, and it is still difficult to meet the requirements of intelligent vehicles for seat comfort and intelligence. Summary of the Invention
[0005] The purpose of this invention is to provide an intelligent automotive seat elastomer adaptive adjustment system and method, which solves the technical problem of how to achieve real-time adaptive adjustment of seat elastomer tension according to the occupant's body posture.
[0006] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows: In a first aspect, the present invention provides an adaptive adjustment method for an intelligent car seat elastomer, wherein the car seat includes a backrest portion and a seat cushion portion, and the backrest portion and the seat cushion portion are respectively provided with independent elastic fabric and corresponding tension adjustment devices; the method includes the following steps: S1. Initialization Adjustment: After the occupant is seated, the pressure sensor array in the seat cushion area detects the pressure signal. The controller calculates the occupant's weight based on the force value of each sensor point on the seat cushion, and determines the initial target tension value of the backrest elastic fabric and the seat cushion elastic fabric based on the occupant's weight value. It then drives the corresponding tension adjustment device to make the real-time tension of the backrest and the seat cushion reach their respective initial target tension values. S2, Feedforward Linkage Adjustment: When the backrest tilt angle changes, the angular displacement sensor at the backrest pivot collects the change in backrest tilt angle. The controller calculates the feedforward target tension values of the backrest and seat cushion based on the change in backrest tilt angle and the real-time tension values of the backrest and seat cushion, and synchronously drives the tension adjustment devices of the backrest and seat cushion to complete the coarse tension adjustment. S3, Feedback Closed-Loop Refinement: After the feedforward linkage adjustment is completed, the backrest pressure sensor array and the seat cushion pressure sensor array collect the force values of each sensing point in the corresponding area. The controller calculates the peak pressure of the backrest and the peak pressure of the seat cushion respectively, compares the peak pressure of the backrest and the peak pressure of the seat cushion with their respective preset target ranges, and corrects the corresponding backrest tension and seat cushion tension according to the comparison results. S4. Steady-state maintenance and monitoring: When the peak pressure of the backrest and the peak pressure of the seat cushion are within their respective preset target ranges, the current tension is kept constant and the signals of each sensor are continuously monitored; when the occupant's posture changes again, steps S2 to S3 are repeated with the current steady-state position as the reference.
[0007] Furthermore, in step S1, the controller looks up the weight value in a preset mapping table to determine the initial target tension values of the backrest and seat cushion respectively, and controls the corresponding tension adjustment device to perform a winding or releasing action so that the real-time tension of the corresponding elastic fabric reaches its respective initial target tension value.
[0008] Furthermore, in step S2, the real-time tension values of the backrest and seat cushion are obtained by torque sensors in the corresponding tension adjustment devices. The real-time tension value of the backrest is calculated using the formula. Calculate, where, The real-time output torque of the drive motor in the backrest tension adjustment device is directly measured by the backrest torque sensor. The equivalent winding radius of the backrest dynamic support rod; The real-time tension value of the seat cushion is calculated using the formula. Calculate, where, The real-time output torque of the drive motor in the seat cushion tension adjustment device is directly measured by the seat cushion torque sensor. The equivalent winding radius of the seat cushion dynamic support rod.
[0009] Furthermore, in step S2, the formula for calculating the feedforward target tension value of the backrest is: ; The formula for calculating the feedforward target tension value of the seat cushion is: ; in, , This is the current real-time tension value. , The preset feedforward ratio coefficient, , For about A function that satisfies , ; This represents the change in backrest tilt angle relative to the previous steady-state position.
[0010] Furthermore, the change in backrest angle is positive in the direction of backrest tilt and negative in the direction of forward tilt; when When the value is positive, the tension adjustment device of the backrest performs a winding action to increase the tension of the backrest, and the tension adjustment device of the seat cushion performs a releasing action to reduce the tension of the seat cushion. when When the value is negative, the tension adjustment device of the backrest performs a release action to reduce the tension of the backrest, and the tension adjustment device of the seat cushion performs a roll-up action to increase the tension of the seat cushion.
[0011] Furthermore, in step S3, the peak pressure of the backrest... The calculation method is as follows: ; Peak pressure of the seat cushion The calculation method is as follows: ; in, , These represent the effective sensing area of a single sensing point in the corresponding region.
[0012] Furthermore, in step S3, when the peak pressure of the backrest or the peak pressure of the seat cushion is higher than the upper limit of the corresponding preset target range, the corresponding tension adjustment device releases the corresponding elastic fabric; when the peak pressure of the backrest or the peak pressure of the seat cushion is lower than the lower limit of the corresponding preset target range, the corresponding tension adjustment device winds up the corresponding elastic fabric.
[0013] Furthermore, in step S3, the adjustment range of the backrest and seat cushion tension correction is calculated according to the following formula: When the corresponding peak pressure is higher than the upper limit of the respective preset target range, the adjustment range is as follows: calculate; When the corresponding peak pressure is lower than the lower limit of its respective preset target range, the adjustment range is as follows: calculate; in, , These are the upper and lower limits of the corresponding preset target range, respectively. This corresponds to the proportional gain coefficient; When the value is negative, the corresponding tension adjustment device releases the fabric to reduce tension. When the value is positive, the corresponding tension adjustment device winds up the fabric to increase the tension.
[0014] Secondly, the present invention also provides an intelligent automotive seat elastomer adaptive adjustment system, comprising: The backrest and seat cushion are each provided with independent elastic fabric and corresponding tension adjustment device; The pressure sensor array includes a backrest pressure sensor array and a seat cushion pressure sensor array. The backrest pressure sensor array is arranged between the backrest outer flexible layer or the backrest elastic fabric and the backrest outer flexible layer, and the seat cushion pressure sensor array is arranged between the seat cushion outer flexible layer or the seat cushion elastic fabric and the seat cushion outer flexible layer, respectively used to collect pressure distribution data of the corresponding areas. An angular displacement sensor is installed at the backrest pivot to collect changes in the backrest tilt angle. Torque sensors, including backrest torque sensors and seat cushion torque sensors, are respectively installed on the transmission path of the corresponding tension adjustment device to detect the torque on the transmission path in real time to obtain the real-time tension value of the corresponding elastic fabric. The controller is electrically connected to the pressure sensor array, the angular displacement sensor, the torque sensor, and the tension adjustment device, respectively, and is used to execute the method described in any one of the above-mentioned methods.
[0015] Furthermore, the car seat includes a backrest frame and a seat frame; the elastic fabric is independently installed on the backrest frame and the seat frame via the left and right vertical sides respectively, to provide elastic support for the occupant; The tension adjustment device includes: a dynamic support rod disposed on at least one horizontal edge of the elastic fabric and pivotally mounted to the corresponding frame of the car seat; and a tension adjustment mechanism installed on the corresponding frame of the car seat and tractively connected to the dynamic support rod, for adjusting the tension of the corresponding elastic fabric by rotating the corresponding dynamic support rod to wind or release the corresponding elastic fabric according to the control command of the controller.
[0016] Compared with the prior art, the present invention has at least the following beneficial effects: Based on the elastic fabric suspension structure and tension adjustment device disclosed in the basic patent, this invention adds a pressure sensor array and an angular displacement sensor. The controller uniformly receives the sensing signals and outputs control commands, transforming the sensors from simple information acquisition terminals into sensing front-ends for closed-loop control. This upgrades the original elastic fabric suspension structure, which only has static open-loop adjustment capabilities, into an intelligent adaptive adjustment system with occupant status sensing capabilities. It retains the advantages of the original solution, such as lightweight and simple assembly, while also giving it the intelligent ability to dynamically adapt tension according to the real-time physical condition of the occupants.
[0017] Based on this, the present invention constructs a dual closed-loop control architecture of "posture feedforward and pressure feedback" by dividing the adjustment process into four stages: initial adjustment, feedforward linkage adjustment, feedback closed-loop refinement, and steady-state monitoring. When the backrest tilt angle changes, the feedforward layer synchronously calculates the feedforward target tension values of the backrest and seat cushion based on the angular displacement sensor signal and performs coarse adjustment in linkage, resulting in rapid response and effectively solving the problem of lag in response of the single feedback adjustment mode. After the feedforward adjustment is completed, the feedback layer uses the peak pressure of the backrest and seat cushion as the feedback target parameter, compares it with their respective preset target ranges, and independently corrects the tension in the corresponding areas, eliminating feedforward errors caused by individual differences in occupants. The feedforward layer ensures response speed, and the feedback layer ensures adjustment accuracy; the two work together to bring the tension values of the backrest and seat cushion to a comfortable state that matches the current occupant.
[0018] Furthermore, in this invention, the backrest and seat cushion are each equipped with independent tension adjustment devices and sensors, all controlled and coordinated by the same controller. During the feedforward linkage adjustment phase, the same backrest tilt angle signal simultaneously drives both the backrest and seat cushion to respond synchronously and in reverse according to their respective preset mapping relationships, avoiding the problem of mutual interference between control commands when the backrest and seat cushion provide independent feedback. During the steady-state holding phase, the worm gear mechanism utilizes its self-locking characteristic to maintain the current tension unchanged, and the motor is powered off and put into sleep mode, reducing energy consumption. The entire adjustment process constitutes a complete closed-loop control link of perception, judgment, execution, and verification, enabling the seat elastomer tension to respond quickly and adapt precisely to changes in posture. Attached Figure Description
[0019] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0020] Figure 1 This is a flowchart illustrating the adaptive adjustment method for the elastomer of an intelligent car seat provided in this embodiment. Detailed Implementation
[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0022] This embodiment provides an intelligent automotive seat elastomer adaptive adjustment system and method. Please refer to [link / reference]. Figure 1 As shown, its core technical solution is as follows: I. Overall Plan Overview This invention features an independent set of elastic fabric (i.e., elastomer) and corresponding tension adjustment mechanism in both the backrest and seat cushion sections. The backrest elastic fabric and the seat cushion elastic fabric are independent of each other, each equipped with an independent dynamic support rod, tension adjustment mechanism, torque sensor, and pressure sensor array, etc. The two systems have identical hardware configurations and similar control logic, and are uniformly coordinated and controlled by the same controller.
[0023] The controller receives force data collected by pressure sensor arrays in the backrest and seat cushion areas, as well as backrest tilt angle signals collected by angular displacement sensors at the backrest pivot. It then outputs control commands to the backrest tension adjustment mechanism and the seat cushion tension adjustment mechanism, forming a feedforward and feedback dual closed-loop tension adjustment system.
[0024] II. Overall Workflow The complete workflow of the system described in this invention is as follows.
[0025] Step 1: Passengers take their seats, system initialization.
[0026] After the occupant is seated, the pressure sensor array in the seat cushion area detects a pressure signal, and the system automatically wakes up. Specifically, when the total pressure detected by the seat cushion pressure sensor array exceeds a preset trigger threshold, it determines that the occupant is seated and performs initialization adjustments; the controller reads the force values at each sensor point in the seat cushion area. According to the formula The system calculates the occupant's weight by summing the force values at all sensor points in the seat cushion area. This estimated weight is used to determine the initial reference level for tension adjustment—a higher initial tension is set for heavier occupants, and a lower initial tension is set for lighter occupants. Under static conditions, the sum of the normal reaction forces at all points on the seat cushion equals the occupant's weight. Under dynamic conditions in the vehicle, although there is a certain deviation between the directly summed value and the actual weight, this deviation does not affect the system's determination of the appropriate tension level based on occupant weight.
[0027] The controller looks up the preset mapping table based on the weight value to determine the initial target tension values of the backrest elastic fabric and the seat cushion elastic fabric respectively. The controller reads the current real-time tension value of the backrest and the current real-time tension value, calculates the difference between the target tension value and the current real-time tension value respectively, and drives the backrest motor and the seat cushion motor to independently perform the winding or releasing action according to the direction and magnitude of the difference, until the real-time tension value fed back by the corresponding torque sensor is equal to the corresponding initial target tension value.
[0028] Step 2: Attitude change triggers feedforward linkage adjustment.
[0029] When the occupant actively adjusts the backrest angle, the angular displacement sensor at the backrest pivot collects the change in backrest tilt angle in real time; (With the tilt direction as positive and the forward tilt direction as negative), this signal immediately triggers feedforward adjustment. The controller simultaneously reads the current real-time tension values of the backrest and seat cushion as references for their respective feedforward adjustments. Based on the change in backrest tilt angle and the current real-time tension value, it calculates the target feedforward tension values for the backrest and seat cushion, respectively, and synchronously drives the backrest motor and seat cushion motor to perform winding or releasing actions, ensuring that the real-time tension of the backrest and seat cushion reaches their respective target feedforward tension values. The backrest and seat cushion respond synchronously, completing coarse tension adjustment in a very short time. This step is rapid, but it is based solely on changes in posture geometry and the current tension value, without considering individual differences such as occupant body shape, and is therefore considered coarse adjustment.
[0030] Step 3: Peak pressure feedback closed-loop refinement.
[0031] After the feedforward adjustment is completed, the backrest pressure sensor array and the seat cushion pressure sensor array respectively verify the adjustment effect in their respective areas. The controller reads the force values of each sensor point in the backrest area and the seat cushion area, calculates the peak pressure of the backrest and the peak pressure of the seat cushion, and compares them with their respective preset target ranges.
[0032] If the measured peak pressure is higher than the upper limit of the corresponding target range, it is determined that the tension in that area is too high, and the corresponding motor releases the fabric to reduce the tension; if the measured peak pressure is lower than the lower limit of the corresponding target range, it is determined that the support in that area is insufficient, and the corresponding motor winds up the fabric to increase the tension; if the measured peak pressure is within the corresponding target range, it is determined that the current tension is appropriate, and the current tension is kept unchanged.
[0033] This step involves independently verifying and correcting the feedforward output results based on measured pressure distribution data. It eliminates feedforward errors caused by individual differences in occupants (such as body shape and sitting habits), and brings the tension values of the backrest and seat cushion to a comfortable state that matches the current occupant. This step is considered fine-tuning.
[0034] Step 4: Maintaining steady state and continuous monitoring.
[0035] When the peak pressure of the backrest and seat cushion are both within their respective target ranges, the worm gear mechanism uses its self-locking characteristic to maintain the current tension, and the motor is powered off and put into sleep mode to save energy. The system continuously monitors the signals of each sensor at a preset sampling frequency. When the occupant's posture changes again or the vehicle's operating conditions change, steps two to three above are repeated.
[0036] The above four steps constitute a complete closed-loop control chain of perception, judgment, execution, and verification. During normal adjustment, the feedforward layer is responsible for quickly responding to attitude changes, while the feedback layer is responsible for eliminating individual differences to ensure final accuracy.
[0037] III. Acquisition of Real-Time Tension Values The backrest section has an independent real-time tension value for the backrest fabric. The seat cushion section has an independent real-time tension value for the seat cushion fabric. Both are independently controlled.
[0038] Method 1: Direct measurement based on torque sensor Each tension adjustment mechanism is equipped with an independent torque sensor, installed on the transmission path between its respective drive motor and worm gear. The controller calculates the real-time tension value of each part according to the following formula: ; ; in, The real-time output torque of the backrest drive motor is directly measured by the torque sensor in the backrest tension adjustment mechanism; The real-time output torque of the seat cushion drive motor is directly measured by the torque sensor in the seat cushion tension adjustment mechanism; The equivalent winding radius of the backrest dynamic support rod is determined by the geometric dimensions of the backrest dynamic support rod and is a known constant. The equivalent winding radius of the seat cushion dynamic support rod is determined by the geometric dimensions of the seat cushion dynamic support rod and is a known constant.
[0039] The physical basis of this method is as follows: the torque output by the drive motor is transmitted to the dynamic support rod via the worm gear mechanism (when transmission losses are ignored, the torques of the two are equal), and there is a fixed leverage ratio between the tension applied by the support rod to the elastic fabric and the output torque. When the worm gear mechanism is in the locked state, i.e., the motor does not rotate, the torque sensor monitors the holding torque in real time; the controller can obtain the current tension value based on the ratio of the torque value to the winding radius.
[0040] The controller reads the output values of each torque sensor on the backrest and seat cushion at a fixed sampling frequency and calculates their respective real-time tension values. These values are temporarily stored in the controller's memory as reference parameters for subsequent feedforward and feedback control. Regardless of whether the motor is running or locked, these values are constantly updated to ensure that the controller always has a grasp of the current tension status of the backrest and seat cushion fabrics.
[0041] IV. Calculation of Control Parameters (1) The calculation method for passenger weight is as follows: The raw data collected by the pressure sensor array is the force value at each sensing point. The controller converts its calculations into the following control parameters.
[0042] ; in , These represent the number of rows and columns of the sensor array in the seat cushion area, respectively. The force values at all sensor points in the seat cushion area are summed to obtain an estimate of the occupant's weight. This value is used to determine the initial reference setting for seat cushion tension adjustment—a higher initial tension is set for heavier occupants, and a lower initial tension is set for lighter occupants.
[0043] (2) The calculation method for peak back pressure is as follows: ; in This represents the effective sensing area of a single sensor point in the backrest area. The peak backrest pressure is obtained by dividing the sensor point with the highest pressure in the backrest array by its area. This value quantifies the maximum local pressure experienced by the occupant's back in contact with the backrest and is a core indicator for determining whether there is localized pressure discomfort in the back.
[0044] (3) The calculation method for peak pressure of the seat cushion is as follows: ; in This represents the effective sensing area of a single sensor point in the seat cushion area. The peak seat cushion pressure is obtained by dividing the sensor point with the highest pressure in the seat cushion array by its area. This value quantifies the maximum local pressure experienced by the occupant's buttocks in contact with the seat cushion and is a core indicator for determining whether there is localized pressure discomfort in the buttocks.
[0045] V. Feedforward Layer – Fast Response Based on Attitude Geometry 5.1 Triggering Conditions and Input Signals When the occupant actively adjusts the backrest angle, the angular displacement sensor at the backrest pivot collects the change in backrest tilt angle in real time. The value is denoted by backward tilt, which is positive, and forward tilt, which is negative. This posture change affects the load distribution of the occupant on the backrest and seat cushion.
[0046] The controller simultaneously reads the real-time tension value of the backrest at the current moment. Real-time tension value of seat cushion , serving as the reference for their respective feedforward adjustments.
[0047] 5.2 Feedforward control of the backrest section The tension adjustment of the elastic fabric of the backrest is based on the change in the backrest tilt angle. This is the primary feedforward input. The controller calculates the target backrest tension value using the following formula: ; in, This is the target tension value that the backrest fabric should achieve after feedforward calculation; The backrest feedforward ratio coefficient is a preset constant, determined by the corresponding seat frame geometric parameters and bench calibration experiments. The parameters determined by bench calibration experiments based on the corresponding seat frame geometry are as follows: A function, such as a monotonically increasing function, that satisfies , ; This represents the change in backrest tilt angle relative to the previous steady-state position.
[0048] in, The specific functional form (such as linear, polynomial, or exponential) is determined by bench calibration experiments. The experimental method is as follows: the seat is fixed on a test bench, and the backrest tension value that provides the most comfort to the occupant is measured and recorded at multiple different backrest tilt angles. The measured discrete data points are then fitted to a continuous function curve, thus obtaining the... The specific expression.
[0049] The physical meaning of this formula is: when leaning back, , At this time, the contact area between the occupant's back and the backrest increases, and the weight of the torso shifts towards the backrest. The backrest needs to provide greater support to balance the torque generated by the torso leaning back. Therefore, the controller instructs the backrest motor to wind up the fabric to increase the backrest tension and provide firm back support. When the backrest is straightened or tilted forward, , At this time, the contact between the back and the backrest decreases, the load on the backrest decreases, and the controller instructs the backrest motor to release the fabric to reduce the tension of the backrest and avoid the backrest fabric being too tight and causing a backrest-like feeling.
[0050] The controller will calculate the obtained backrest feedforward target tension value. Compared with the current real-time tension value The comparison is performed to drive the backrest motor to perform a winding or releasing action until the real-time tension value fed back by the backrest torque sensor equals the required value. .
[0051] 5.3 Feedforward control of the seat cushion section The tension adjustment of the seat cushion's elastic fabric is also based on the change in the backrest angle. This is the feedforward input. The controller calculates the target tension value for the seat cushion feedforward according to the following formula: ; in, The target tension value that the rear seat cushion fabric should achieve, calculated using feedforward. The parameters determined by bench calibration experiments based on the corresponding seat frame geometry are as follows: The function can be a monotonically increasing function; is the seat cushion feedforward proportional coefficient, which is a preset constant determined by the corresponding seat frame geometric parameters and bench calibration experiments.
[0052] The physical meaning of this formula is: when leaning back, , At this time, the weight of the occupant's torso shifts towards the backrest, reducing the normal load on the seat cushion. If the tension of the seat cushion fabric remains constant, the occupant's buttocks will experience localized pressure due to relatively excessive tension. Therefore, the controller instructs the seat cushion motor to release the fabric to reduce the seat cushion tension and adapt to the reduced load condition. When the backrest is straightened or tilted forward, , At this point, the component of gravity returns to the seat cushion, increasing the normal load on the cushion and requiring greater support stiffness. Therefore, the controller instructs the seat cushion motor to wind up the fabric to increase the seat cushion tension and provide firmer hip support.
[0053] The controller will calculate the obtained seat cushion feedforward target tension value. Compared with the current real-time tension value The comparison is performed by driving the seat cushion motor to perform a winding or unwinding action until the real-time tension value fed back by the seat cushion torque sensor equals... .
[0054] 5.4 Design Basis of Feedforward Layer The forces acting on the human body in a chair can be simplified to gravity acting vertically downwards, supported by the seat cushion. and back support Together they maintain balance. When the occupant leans back, the torso tilt angle increases, and the backrest tilt angle... As the weight increases, the component of the torso's weight shifts towards the backrest. Increase Reduce. To ensure that the pressure distribution at the occupant-seat contact interface does not cause localized compression due to load changes, the fabric tension must be positively correlated with the load it bears. When the load on the seat cushion decreases, the tension should be reduced; when the load on the backrest increases, the tension should be increased. This matching relationship ensures that the seat support stiffness always adapts to the load distribution under the current posture.
[0055] 5.5 Characteristics of the feedforward layer The feedforward layer has the following characteristics: First, it has a fast response speed. Based on the direct signal from the angular displacement sensor and the current real-time tension value, it can complete the calculation and output the command in a very short time after the occupant's adjustment action occurs. Second, the backrest and seat cushion are adjusted in tandem. The same backrest tilt angle signal simultaneously drives the feedforward adjustment of both the backrest and the seat cushion, and the two respond synchronously in opposite directions according to their respective preset mapping relationships. Third, it does not depend on individual differences. The feedforward adjustment amount is calculated only based on the posture geometry change and the current tension value, without considering individual parameters such as the occupant's weight and body shape, which introduces errors. These errors are corrected by the subsequent feedback layer.
[0056] VI. Feedback Layer – Closed-Loop Refinement Based on Peak Pressure After the feedforward adjustment is completed, the pressure sensor arrays of the backrest and seat cushion respectively verify the adjustment effect in their respective areas. The feedback adjustment logic of the backrest and seat cushion is the same, and will be explained separately below.
[0057] 6.1 Feedback adjustment of the backrest The controller uses the peak pressure of the backrest. The target parameter for feedback control is compared with the preset target range. Compare them.
[0058] when When this occurs, it indicates excessive localized pressure on the backrest, causing discomfort. The backrest motor should release the fabric to reduce backrest tension. The adjustment range should be calculated using the following formula: A negative value corresponds to a release action.
[0059] when When the backrest motor winds up the fabric to increase backrest tension, it indicates insufficient back support. The adjustment range should be calculated using the following formula: This value is positive, corresponding to the scrolling action.
[0060] when When this indicates the comfort zone is reached, maintain the current backrest tension. .
[0061] in, , These are the upper and lower limits of the preset target range for the backrest, determined by bench calibration experiments; The backrest proportional gain coefficient is a preset constant. This indicates the backrest tension adjustment range; a positive value indicates winding (increasing tension), and a negative value indicates releasing (decreasing tension).
[0062] Controller according to The sign and magnitude of the tension value control the backrest motor to perform winding or releasing actions in the corresponding direction and amplitude until the real-time tension value fed back by the backrest torque sensor reaches the specified value. .
[0063] 6.2 Feedback adjustment of the seat cushion The controller uses the peak pressure of the seat cushion. The target parameter for feedback control is compared with the preset target range. Compare them.
[0064] when When this occurs, it indicates excessive local pressure on the buttocks, causing discomfort. The seat cushion motor should release the fabric to reduce seat cushion tension. The adjustment range should be calculated using the following formula: A negative value corresponds to a release action.
[0065] when When the seat cushion motor rolls up the fabric to increase the seat cushion tension, it indicates insufficient hip support. The adjustment range should be calculated using the following formula: This value is positive, corresponding to the scrolling action.
[0066] when When this indicates that you are in the comfort zone, maintain the current seat cushion tension. .
[0067] in, , These are the upper and lower limits of the preset target range for the seat cushion, determined by bench calibration experiments; is the seat cushion proportional gain coefficient, and is a preset constant; This indicates the seat cushion tension adjustment range. A positive value indicates winding (increasing tension), and a negative value indicates releasing (decreasing tension).
[0068] Controller according to The sign and magnitude of the tension value control the seat cushion motor to perform winding or unwinding actions in the corresponding direction and amplitude until the real-time tension value fed back by the seat cushion torque sensor reaches the specified value. .
[0069] 6.3 The role of the feedback layer The feedback layer independently checks and corrects the output results of the backrest and seat cushion feedforward layers, eliminating feedforward errors caused by individual differences in occupants such as weight, body shape, and sitting habits, so that the tension values of the backrest and seat cushion converge to a comfortable state that matches the current occupant.
[0070] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for adaptive adjustment of an intelligent car seat elastomer, characterized in that, The car seat includes a backrest portion and a seat cushion portion, wherein the backrest portion and the seat cushion portion are respectively provided with independent elastic fabric and corresponding tension adjustment devices; the method includes the following steps: S1. Initialization Adjustment: After the occupant is seated, the pressure sensor array in the seat cushion area detects the pressure signal. The controller calculates the occupant's weight based on the force value of each sensor point on the seat cushion, and determines the initial target tension value of the backrest elastic fabric and the seat cushion elastic fabric based on the occupant's weight value. It then drives the corresponding tension adjustment device to make the real-time tension of the backrest and the seat cushion reach their respective initial target tension values. S2, Feedforward Linkage Adjustment: When the backrest tilt angle changes, the angular displacement sensor at the backrest pivot collects the change in backrest tilt angle. The controller calculates the feedforward target tension values of the backrest and seat cushion based on the change in backrest tilt angle and the real-time tension values of the backrest and seat cushion, and synchronously drives the tension adjustment devices of the backrest and seat cushion to complete the coarse tension adjustment. S3, Feedback Closed-Loop Refinement: After the feedforward linkage adjustment is completed, the backrest pressure sensor array and the seat cushion pressure sensor array collect the force values of each sensing point in the corresponding area. The controller calculates the peak pressure of the backrest and the peak pressure of the seat cushion respectively, compares the peak pressure of the backrest and the peak pressure of the seat cushion with their respective preset target ranges, and corrects the corresponding backrest tension and seat cushion tension according to the comparison results. S4. Steady-state maintenance and monitoring: When the peak pressure of the backrest and the peak pressure of the seat cushion are within their respective preset target ranges, the current tension is kept constant and the signals of each sensor are continuously monitored; when the occupant's posture changes again, steps S2 to S3 are repeated with the current steady-state position as the reference.
2. The intelligent automotive seat elastomer adaptive adjustment method according to claim 1, characterized in that, In step S1, the controller looks up the weight value in a preset mapping table to determine the initial target tension values of the backrest and seat cushion respectively, and controls the corresponding tension adjustment device to perform a winding or releasing action so that the real-time tension of the corresponding elastic fabric reaches its respective initial target tension value.
3. The intelligent automotive seat elastomer adaptive adjustment method according to claim 1, characterized in that, In step S2, the real-time tension values of the backrest and seat cushion are obtained by torque sensors in the corresponding tension adjustment devices. The real-time tension value of the backrest is calculated using the formula. Calculate, where, The real-time output torque of the drive motor in the backrest tension adjustment device is directly measured by the backrest torque sensor. The equivalent winding radius of the backrest dynamic support rod; The real-time tension value of the seat cushion is calculated using the formula. Calculate, where, The real-time output torque of the drive motor in the seat cushion tension adjustment device is directly measured by the seat cushion torque sensor. The equivalent winding radius of the seat cushion dynamic support rod.
4. The intelligent automotive seat elastomer adaptive adjustment method according to claim 1, characterized in that, In step S2, the formula for calculating the feedforward target tension value of the backrest is: ; The formula for calculating the feedforward target tension value of the seat cushion is: ; in, , This is the current real-time tension value. , The preset feedforward ratio coefficient, , For about A function that satisfies , ; This represents the change in backrest tilt angle relative to the previous steady-state position.
5. The intelligent automotive seat elastomer adaptive adjustment method according to claim 4, characterized in that, The change in backrest angle is positive in the direction of backrest tilt and negative in the direction of forward tilt. when When the value is positive, the tension adjustment device of the backrest performs a winding action to increase the tension of the backrest, and the tension adjustment device of the seat cushion performs a releasing action to reduce the tension of the seat cushion. when When the value is negative, the tension adjustment device of the backrest performs a release action to reduce the tension of the backrest, and the tension adjustment device of the seat cushion performs a roll-up action to increase the tension of the seat cushion.
6. The intelligent automotive seat elastomer adaptive adjustment method according to claim 1, characterized in that, In step S3, the peak pressure of the backrest The calculation method is as follows: ; Peak pressure of the seat cushion The calculation method is as follows: ; in, , These represent the effective sensing area of a single sensing point in the corresponding region.
7. The intelligent automotive seat elastomer adaptive adjustment method according to claim 1, characterized in that, In step S3, when the peak pressure of the backrest or the peak pressure of the seat cushion is higher than the upper limit of the corresponding preset target range, the corresponding tension adjustment device releases the corresponding elastic fabric; when the peak pressure of the backrest or the peak pressure of the seat cushion is lower than the lower limit of the corresponding preset target range, the corresponding tension adjustment device winds up the corresponding elastic fabric.
8. The intelligent automotive seat elastomer adaptive adjustment method according to claim 1, characterized in that, In step S3, the adjustment range of the backrest and seat cushion tension correction is calculated according to the following formula: When the corresponding peak pressure is higher than the upper limit of the respective preset target range, the adjustment range is as follows: calculate; When the corresponding peak pressure is lower than the lower limit of its respective preset target range, the adjustment range is as follows: calculate; in, , These are the upper and lower limits of the corresponding preset target range, respectively. This corresponds to the proportional gain coefficient; When the value is negative, the corresponding tension adjustment device releases the fabric to reduce tension. When the value is positive, the corresponding tension adjustment device winds up the fabric to increase the tension.
9. An intelligent automotive seat elastomer adaptive adjustment system, characterized in that, include: The backrest and seat cushion are each provided with independent elastic fabric and corresponding tension adjustment device; The pressure sensor array includes a backrest pressure sensor array and a seat cushion pressure sensor array. The backrest pressure sensor array is arranged between the backrest outer flexible layer or the backrest elastic fabric and the backrest outer flexible layer, and the seat cushion pressure sensor array is arranged between the seat cushion outer flexible layer or the seat cushion elastic fabric and the seat cushion outer flexible layer, respectively used to collect pressure distribution data of the corresponding areas. An angular displacement sensor is installed at the backrest pivot to collect changes in the backrest tilt angle. Torque sensors, including backrest torque sensors and seat cushion torque sensors, are respectively installed on the transmission path of the corresponding tension adjustment device to detect the torque on the transmission path in real time to obtain the real-time tension value of the corresponding elastic fabric. The controller is electrically connected to the pressure sensor array, the angular displacement sensor, the torque sensor, and the tension adjustment device, respectively, and is used to perform the method as described in any one of claims 1 to 8.
10. The intelligent automotive seat elastomer adaptive adjustment system according to claim 9, characterized in that, The car seat includes a backrest frame and a seat frame; the elastic fabric is independently installed on the backrest frame and the seat frame via the left and right vertical sides respectively, to provide elastic support for the occupant; The tension adjustment device includes: a dynamic support rod disposed on at least one horizontal edge of the elastic fabric and pivotally mounted to the corresponding frame of the car seat; and a tension adjustment mechanism installed on the corresponding frame of the car seat and tractively connected to the dynamic support rod, for adjusting the tension of the corresponding elastic fabric by rotating the corresponding dynamic support rod to wind or release the corresponding elastic fabric according to the control command of the controller.
Citation Information
Patent Citations
Elastic suspension structure for automobile seats
CN108312923A