Self-adaptive pre-collision control method and system for vehicle

Abstract

The invention discloses a self-adaptive pre-collision control method and system for a vehicle, and the method comprises the steps: recognizing the actual body characteristics of a passenger when the passenger starts a zero-gravity seat mode or the angle of a seat backrest is adjusted to a preset value; if a pre-collision signal transmitted by the intelligent driving system is received, the optimal control parameter of each seat adjustment item is determined according to the actual body characteristics, and the optimal control parameter enables the injury of the passenger to be minimum during collision; determining the driving power of a corresponding seat motor based on each optimal control parameter; and the corresponding seat motor is driven according to the driving power of each seat motor, and the seat is adjusted. When the pre-collision signal is received, each seat adjustment item is adaptively controlled to reach the optimal state according to the actual body characteristics of the passenger, so that the passenger is minimum in injury during collision, and the comfort of the passenger is improved.

Description

Technical Field

[0001] The present application relates to the technical field of automobiles, and more specifically, to an adaptive pre-collision control method and system for a vehicle. Background Art

[0002] Currently, with the development of artificial intelligence technology, intelligent assistance technology has become more and more popular in the automotive field. However, AEB (Autonomous Emergency Braking) cannot completely avoid collisions, and the seat belt cannot provide effective protection when the occupant is lying in the zero-gravity seat mode. At this time, the collision will cause greater harm to the occupant. Therefore, when the vehicle system anticipates a collision, the zero-gravity seat needs to be adjusted to effectively protect the occupant.

[0003] However, in the existing pre-collision control solutions, the seat adjustment scheme is single, and the adjustment differences caused by the body size differences of the occupants are not considered. Some occupants cannot be effectively protected, while some occupants are overprotected, resulting in poor comfort for the occupants.

[0004] In addition, the existing pre-collision control solutions only consider the control movement of the internal mechanism of the seat, and do not consider the linkage protection of other passive safety components (such as seat belts) when the seat is adjusted, so the safety protection effect is limited. Summary of the Invention

[0005] The present application provides an adaptive pre-collision control method and system for a vehicle. When a pre-collision signal is received, each seat adjustment item is adaptively controlled according to the actual physical characteristics of the occupant to reach the best state, so that the damage to the occupant during a collision is minimized and the comfort of the occupant is improved.

[0006] The present application provides an adaptive pre-collision control method for a vehicle, including:

[0007] When the occupant turns on the zero-gravity seat mode or the angle of the seat backrest is adjusted to a preset value, identify the actual physical characteristics of the occupant;

[0008] If a pre-collision signal transmitted by the intelligent driving system is received, determine the optimal control parameters for each seat adjustment item according to the actual physical characteristics. The optimal control parameters minimize the damage to the occupant during a collision;

[0009] Determine the driving power of the corresponding seat motor based on each optimal control parameter;

[0010] Drive the corresponding seat motor according to the driving power of each seat motor to adjust the seat.

[0011] Preferably, while adjusting the seat, adjust the passive safety components to an adapted state.

[0012] Preferably, the driving power of the corresponding seat motor is determined based on each optimal control parameter, specifically including:

[0013] If a pre-collision warning signal is received first, the driving power of each seat motor is calculated according to the second pre-collision time and the preset ratio of the optimal control parameters of each seat adjustment item, and the adjustment parameters of the passive safety components are determined according to the preset ratio;

[0014] Among them, the preset ratio is less than 1.

[0015] Preferably, the driving power of the corresponding seat motor is determined based on each optimal control parameter, specifically including:

[0016] If an automatic emergency braking warning signal is received first, the driving power of each seat motor is calculated according to the first pre-collision time and the optimal control parameters of each seat adjustment item, and the optimal adjustment parameters of the passive safety components are calculated.

[0017] Preferably, the optimal control parameters of each seat adjustment item are determined according to the actual body characteristics, specifically including:

[0018] Query the first optimal control parameters of each seat adjustment item corresponding to at least two simulated body characteristics similar to the actual body characteristics;

[0019] For each seat adjustment item, calculate the second optimal control parameter corresponding to the actual body characteristics based on all the first optimal control parameters of the seat adjustment item, and use it as the optimal control parameter of the seat adjustment item corresponding to the actual body characteristics.

[0020] Preferably, calculating the driving power of each seat motor according to the first pre-collision time and the optimal control parameters of each seat adjustment item includes:

[0021] Identify the current position of each seat adjustment item;

[0022] Calculate the difference between the position corresponding to the optimal control parameter of each seat adjustment item and the corresponding current position;

[0023] Determine the driving power required for each seat motor to adjust the difference according to the first pre-collision time.

[0024] The present application also provides an adaptive pre-collision control system for a vehicle, including an identification and estimation module, a parameter determination module, a power determination module, and a control module;

[0025] The identification and estimation module is used to identify the actual body characteristics of the occupant when the occupant activates the zero-gravity seat mode or the angle of the seat back is adjusted to a preset value;

[0026] The parameter determination module is used to determine the optimal control parameters for each seat adjustment item based on the actual physical characteristics when receiving a pre-collision signal transmitted by the intelligent driving system. The optimal control parameters minimize the damage to the occupant during a collision;

[0027] The power determination module is used to determine the driving power of the corresponding seat motor based on each optimal control parameter;

[0028] The control module is used to drive the corresponding seat motor according to the driving power of each seat motor to adjust the seat.

[0029] Preferably, the control module is further used to adjust the passive safety components to the adapted state while adjusting the seat.

[0030] Preferably, the power determination module includes a first calculation module. The first calculation module is used to calculate the driving power of each seat motor according to the second pre-collision time and the preset ratio of the optimal control parameters of each seat adjustment item when receiving a pre-collision warning signal first, and determine the adjustment parameters of the passive safety components according to the preset ratio;

[0031] Wherein, the preset ratio is less than 1.

[0032] Preferably, the power determination module includes a second calculation module. The second calculation module is used to calculate the driving power of each seat motor according to the first pre-collision time and the optimal control parameters of each seat adjustment item when receiving an automatic emergency braking warning signal first, and calculate the optimal adjustment parameters of the passive safety components.

[0033] Preferably, the parameter determination module includes a query module and a third calculation module;

[0034] The query module is used to query the first optimal control parameters of each seat adjustment item corresponding to at least two simulated physical characteristics similar to the actual physical characteristics;

[0035] The third calculation module is used for each seat adjustment item to calculate the second optimal control parameter corresponding to the actual physical characteristics based on all the first optimal control parameters of the seat adjustment item, and use it as the optimal control parameter of the seat adjustment item corresponding to the actual physical characteristics.

[0036] Preferably, the second calculation module includes a position recognition module, a difference calculation module, and a power calculation module;

[0037] The position recognition module is used to recognize the current position of each seat adjustment item;

[0038] The difference calculation module is used to calculate the difference between the position corresponding to the optimal control parameter of each seat adjustment item and the corresponding current position;

[0039] The power calculation module is used to determine the driving power required for the adjustment difference of each seat motor according to the first pre-collision time.

[0040] Other features and advantages of the present application will become clear from the following detailed description of the exemplary embodiments of the present application with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The drawings incorporated in and constituting a part of this specification illustrate embodiments of the present application and, together with the description thereof, are used to explain the principles of the present application.

[0042] Figure 1 is a flowchart of the vehicle adaptive pre-collision control method provided by the present application;

[0043] Figure 2 is a structural diagram of the vehicle adaptive pre-collision control system provided by the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that: unless otherwise specifically stated, the relative arrangements of components and steps, numerical expressions and values set forth in these embodiments do not limit the scope of the present application.

[0045] The following description of at least one exemplary embodiment is merely illustrative in nature and in no way serves as a limitation to the present application or its application or use.

[0046] Technologies, methods, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and devices should be regarded as part of the specification.

[0047] In all the examples shown and discussed herein, any specific values should be construed as merely exemplary and not as a limitation. Accordingly, other examples of the exemplary embodiments may have different values.

[0048] The present application provides a vehicle adaptive pre-collision control method and system. When a pre-collision signal is received, each seat adjustment item is adaptively controlled according to the actual physical characteristics of the occupant to reach the optimal state, so that the damage to the occupant during a collision is minimized and the comfort of the occupant is improved. In addition, the present application adjusts the state of passive safety components such as seat belts while adjusting the seat, so that the passive safety components are matched with the seat state in real time to provide effective protection for the occupant.

[0049] Pre-collision means that through automotive safety technologies, potential collision risks are detected before a collision occurs, and corresponding measures are taken to avoid or reduce the impact of the collision.

[0050] As an embodiment, in the adaptive pre-collision control strategy of a vehicle, the body system receives a pre-collision signal from the intelligent driving system and controls the adjustment of the seat and passive safety components.

[0051] It can be understood that other systems that can control the adjustment of the seat and passive safety components can be used to implement the adaptive pre-collision control strategy of the vehicle of the present application.

[0052] Such as Figure 1 As shown, the adaptive pre-collision control method for a vehicle provided by the present application includes:

[0053] S110: When the occupant activates the zero-gravity seat mode or the angle of the seat back is adjusted to a preset value, identify the actual physical characteristics of the occupant.

[0054] The actual physical characteristics include gender, height, weight, etc. Specifically, the occupant can be imaged by a camera in the cockpit, and the processing module in the camera can be used to identify the gender of the occupant, estimate the height and weight of the occupant, etc., so as to determine the body type of the occupant.

[0055] The seat states and the states of passive safety components corresponding to the most comfortable states of occupants with different body types during a collision are different.

[0056] The zero-gravity seat mode is a car seat design that combines ergonomics and zero-gravity technology. By adjusting the angle and support points of the seat, the center of gravity of the human body is placed on the hip fat, thereby effectively reducing the pressure on other body parts. This design makes the weight felt by the occupant on the seat lighter, achieving a relaxing effect.

[0057] When the zero-gravity seat mode or the angle of the seat back is adjusted to a preset value, in the event of a collision, the occupant faces a greater risk of physical injury. Therefore, it is necessary to adjust the seat to a normal position within the pre-collision warning time to improve the protection of the occupant.

[0058] S120: If a pre-collision signal transmitted by the intelligent driving system is received, determine the optimal control parameters for each seat adjustment item based on the actual physical characteristics. The optimal control parameters minimize the injury to the occupant during a collision.

[0059] As an embodiment, the seat adjustment items include the front-back, height, backrest angle, seat cushion angle, seat cushion length, seat rail position, etc. of the seat.

[0060] As an embodiment, determining the optimal control parameters for each seat adjustment item based on the actual physical characteristics specifically includes:

[0061] S1201: Query the first optimal control parameters for each seat adjustment item corresponding to at least two simulated physical characteristics similar to the actual physical characteristics.

[0062] Each simulated body characteristic corresponds to a set of first optimal control parameters for a group of seat adjustment items. Preferably, the simulated body characteristics take into account the differences brought about by gender, that is, men and women with the same body type have different comfort requirements.

[0063] As an embodiment, the first optimal control parameters are obtained through simulation. When obtaining the first optimal control parameters, first, a Hybrid III dummy model is made according to gender and body type (i.e., body characteristics). Subsequently, a simulation analysis of frontal collision is carried out on the combinations formed by different values of each seat adjustment item, and the control parameters of each seat adjustment item that minimize the damage to the Hybrid III dummy model of this body characteristic are determined through orthogonal experiments, and used as the first optimal control parameters of each seat adjustment item corresponding to this body characteristic.

[0064] S1202: For each seat adjustment item, calculate the second optimal control parameter corresponding to the actual body characteristic based on all the first optimal control parameters of the seat adjustment item, and use it as the optimal control parameter of the seat adjustment item corresponding to the actual body characteristic.

[0065] In step S1202, the actual body characteristics (such as height and weight) are within the area enclosed by at least two simulated body characteristics (for example, the actual height is a certain value between the maximum and minimum values of multiple simulated height data, and the actual weight is a certain value between the maximum and minimum values of multiple simulated weight data), so as to obtain the optimal control parameters of each seat adjustment item corresponding to the actual body characteristic through algorithms such as interpolation.

[0066] S130: Determine the driving power of the corresponding seat motor based on each optimal control parameter.

[0067] S140: Drive the corresponding seat motor according to the driving power of each seat motor to adjust the seat.

[0068] Preferably, in S120, while determining the optimal control parameters of each seat adjustment item according to the actual body characteristic, the optimal state of the passive safety components is also determined according to the actual body characteristic. And in S130, while determining the driving power of each seat motor, the optimal adjustment parameters of the passive safety components are also determined. Thus, in S140, while adjusting the seat, the passive safety components are adjusted to the adapted state.

[0069] Among them, the passive safety components include seat belts, side airbags, seat cushion airbags, frontal airbags, curtain airbags, etc. By adjusting the seat belt to the adapted position and adjusting each airbag to the adapted angle and force, the comfort of the occupant is optimized, and at the same time, sufficient protection is provided to the occupant.

[0070] The pre-collision signals sent by the intelligent driving system include Forward Collision Warning (FCW) signals and Autonomous Emergency Braking (AEB) warning signals, and their corresponding pre-collision times are the second pre-collision time and the first pre-collision time respectively. Generally, the forward collision warning is triggered first, and then the autonomous emergency braking is triggered.

[0071] As an embodiment, in S130, determining the driving power of the corresponding seat motor based on each optimal control parameter specifically includes:

[0072] If the forward collision warning signal is received first, then calculate the driving power of each seat motor according to the second pre-collision time and the preset ratio of the optimal control parameters of each seat adjustment item, and determine the adjustment parameters of the passive safety components according to the preset ratio. Among them, the preset ratio is less than 1, for example, 0.5.

[0073] When the occupant uses the zero-gravity seat mode or the angle of the seat back is adjusted to the preset value, each seat motor may not be able to move to the position corresponding to the optimal control parameter when AEB is triggered. Therefore, if the forward collision warning signal is received first, the vehicle body system will control the seat and seat belt to be adjusted to the preset ratio (such as 1 / 2) of the optimal control parameter according to the optimal control parameters of the seat and seat belt positions and the second pre-collision time, so as to avoid discomfort to the occupant caused by the too fast adjustment speed of the seat and seat belt.

[0074] As another embodiment, in S130, determining the driving power of the corresponding seat motor based on each optimal control parameter further includes:

[0075] If the autonomous emergency braking warning signal is received first, then calculate the driving power of each seat motor according to the first pre-collision time and the optimal control parameters of each seat adjustment item, and calculate the optimal adjustment parameters of the passive safety components.

[0076] Specifically, as an embodiment, calculating the driving power of each seat motor according to the first pre-collision time and the optimal control parameters of each seat adjustment item includes:

[0077] P1: Identify the current position of each seat adjustment item (such as the backrest angle).

[0078] P2: Calculate the difference between the position corresponding to the optimal control parameter of each seat adjustment item and the corresponding current position.

[0079] P3: Determine the driving power required for each seat motor to adjust the difference according to the first pre-collision time.

[0080] Therefore, if the difference between the current position and the position corresponding to the optimal control parameter is small, the adjustment within the first pre-collision time will be relatively gentle to maximize the comfort of the occupant.

[0081] Based on the above, the present application also provides an adaptive pre-collision control system for a vehicle. As Figure 2 shown, the adaptive pre-collision control system includes an identification and estimation module 210, a parameter determination module 220, a power determination module 230, and a control module 240.

[0082] The identification and estimation module 210 is configured to identify the actual physical characteristics of the occupant when the occupant activates the zero-gravity seat mode or the angle of the seat backrest is adjusted to a preset value.

[0083] The parameter determination module 220 is configured to determine the optimal control parameters for each seat adjustment item based on the actual physical characteristics when receiving a pre-collision signal transmitted by the intelligent driving system, and the optimal control parameters minimize the damage to the occupant during a collision.

[0084] The power determination module 230 is configured to determine the driving power of the corresponding seat motor based on each optimal control parameter.

[0085] The control module 240 is configured to drive the corresponding seat motor according to the driving power of each seat motor to adjust the seat.

[0086] Preferably, the control module 240 is further configured to adjust the passive safety components to an adapted state while adjusting the seat.

[0087] Preferably, the power determination module 230 includes a first calculation module 2301. The first calculation module 2301 is configured to calculate the driving power of each seat motor according to a preset ratio of the second pre-collision time and the optimal control parameters of each seat adjustment item when receiving a pre-collision warning signal first, and determine the adjustment parameters of the passive safety components according to the preset ratio. Wherein, the preset ratio is less than 1.

[0088] Preferably, the power determination module 230 includes a second calculation module 2302. The second calculation module 2302 is configured to calculate the driving power of each seat motor according to the first pre-collision time and the optimal control parameters of each seat adjustment item when receiving an automatic emergency braking warning signal first, and calculate the optimal adjustment parameters of the passive safety components.

[0089] Preferably, the parameter determination module 220 includes a query module 2201 and a third calculation module 2202.

[0090] The query module 2201 is configured to query the first optimal control parameters of each seat adjustment item corresponding to at least two simulated physical characteristics similar to the actual physical characteristics.

[0091] The third calculation module 2202 is configured to calculate, for each seat adjustment item, a second optimal control parameter corresponding to the actual body characteristics based on all the first optimal control parameters of the seat adjustment item, and use it as the optimal control parameter of the seat adjustment item corresponding to the actual body characteristics.

[0092] Preferably, the second calculation module 2302 includes a position recognition module, a difference calculation module, and a power calculation module.

[0093] The position recognition module is configured to recognize the current position of each seat adjustment item.

[0094] The difference calculation module is configured to calculate the difference between the position corresponding to the optimal control parameter of each seat adjustment item and the corresponding current position.

[0095] The power calculation module is configured to determine the driving power required for adjusting the difference of each seat motor based on the first pre-collision time.

[0096] Although some specific embodiments of the present application have been described in detail by way of examples, those skilled in the art should understand that the above examples are only for illustration purposes and not for limiting the scope of the present application. Those skilled in the art should understand that the above embodiments can be modified without departing from the scope and spirit of the present application. The scope of the present application is defined by the appended claims.

Claims

1. An adaptive pre-collision control method for a vehicle, characterized in that: include: When the occupant turns on the zero-gravity seat mode or adjusts the seat back angle to a preset value, the occupant's actual body characteristics are recognized; If a pre-collision signal transmitted by the intelligent driving system is received, the optimal control parameters of each seat adjustment item are determined according to the actual body characteristics, and the optimal control parameters minimize the damage to the occupant in the event of a collision; Determining the driving power of the corresponding seat motor based on each optimal control parameter; The corresponding seat motors are driven according to the driving power of each seat motor to adjust the seat.

2. The adaptive pre-collision control method for a vehicle according to claim 1, characterized in that: When adjusting the seat, the passive safety components are adjusted to a suitable state.

3. The adaptive pre-collision control method for a vehicle according to claim 2, characterized in that: The driving power of the corresponding seat motor is determined based on each optimal control parameter, specifically including: If the automatic emergency braking warning signal is received first, the driving power of each seat motor is calculated according to the first pre-collision time and the optimal control parameters of each seat adjustment item, and the optimal adjustment parameters of the passive safety components are calculated.

4. The adaptive pre-collision control method for a vehicle according to claim 1, characterized in that: Determine optimal control parameters for each seat adjustment item based on the actual body characteristics, including: querying first optimal control parameters of each seat adjustment item corresponding to at least two simulated body features close to the actual body features; For each seat adjustment item, a second optimal control parameter corresponding to the actual body feature is calculated according to all first optimal control parameters of the seat adjustment item as the optimal control parameter of the seat adjustment item corresponding to the actual body feature.

5. The adaptive pre-collision control method for a vehicle according to claim 3, characterized in that: The driving power of each seat motor is calculated based on the first pre-collision time and the optimal control parameters of each seat adjustment item, including: Identify the current position of each seat adjustment item; Calculating the difference between the position corresponding to the optimal control parameter of each seat adjustment item and the corresponding current position; The driving power required for each seat motor to adjust the difference is determined according to the first pre-collision time.

6. An adaptive pre-collision control system for a vehicle, characterized in that: It includes an identification and estimation module, a parameter determination module, a power determination module and a control module; The recognition and estimation module is used to recognize the actual physical characteristics of the occupant when the occupant turns on the zero-gravity seat mode or the angle of the seat back is adjusted to a preset value; The parameter determination module is used to determine the optimal control parameters of each seat adjustment item according to the actual body characteristics when receiving the pre-collision signal transmitted by the intelligent driving system, and the optimal control parameters minimize the damage to the occupant in the event of a collision; The power determination module is used to determine the driving power of the corresponding seat motor based on each optimal control parameter; The control module is used to drive the corresponding seat motor according to the driving power of each seat motor to adjust the seat.

7. The adaptive pre-collision control system for a vehicle according to claim 6, characterized in that: The control module is also used to adjust the passive safety components to a fitting state while adjusting the seat.

8. The adaptive pre-collision control system for a vehicle according to claim 7, characterized in that: The power determination module includes a second calculation module, which is used to calculate the driving power of each seat motor and the optimal adjustment parameters of the passive safety components according to the first pre-collision time and the optimal control parameters of each seat adjustment item when the automatic emergency braking warning signal is first received.

9. The adaptive pre-collision control system for a vehicle according to claim 6, characterized in that: The parameter determination module includes a query module and a third calculation module; The query module is used to query the first optimal control parameters of each seat adjustment item corresponding to at least two simulated body features close to the actual body features; The third calculation module is used to calculate, for each seat adjustment item, a second optimal control parameter corresponding to the actual body feature according to all first optimal control parameters of the seat adjustment item, as the optimal control parameter of the seat adjustment item corresponding to the actual body feature.

10. The adaptive pre-collision control system for a vehicle according to claim 8, characterized in that: The second calculation module includes a position identification module, a difference calculation module and a power calculation module; The position recognition module is used to recognize the current position of each seat adjustment item; The difference calculation module is used to calculate the difference between the position corresponding to the optimal control parameter of each seat adjustment item and the corresponding current position; The power calculation module is used to determine the driving power required for each seat motor to adjust the difference according to the first pre-collision time.

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