KR-20260064800-A - Dynamic Load Estimation System for Vehicle Emergency Braking and Vehicle Emergency Braking Method Using the Same

Abstract

The present invention relates to a dynamic load estimation system for vehicle emergency braking and a vehicle emergency braking method using the same. More specifically, it relates to a technology capable of accurately and safely braking by detecting changes in the dynamic load of a vehicle while driving in real time and calculating the estimated collision time based thereon. According to one embodiment of the present invention, a dynamic load estimation system for vehicle emergency braking comprises: an attached acceleration sensor module mounted inside a tire; an integrated communication antenna module that receives acceleration data transmitted from the attached sensor module via RF wireless communication; and a CAN communication module for transmitting dynamic load estimation data of the integrated communication antenna module to the vehicle emergency braking system.

Inventors

• 김현중
• 장인성
• 지용관
• 김민호
• 김형석
• 박태성

Assignees

• 금호타이어 주식회사
• 현대모비스 주식회사

Dates

Publication Date

20260508

Application Date

20241029

Claims (5)

1. Attachable acceleration sensor module mounted inside the tire; An integrated communication antenna module that receives acceleration data transmitted via RF wireless communication from the above-mentioned attached sensor module; A dynamic load estimation system for vehicle emergency braking, characterized by including a CAN communication module for transmitting dynamic load estimation data of the above-mentioned integrated communication antenna module to the vehicle's emergency braking system.
2. In paragraph 1, A dynamic load estimation system for vehicle emergency braking, characterized in that the above-described integrated communication antenna module includes a Micro-Controller Unit (MCU) chipset equipped with a power supply, a data input/output device, a central processing unit (CPU), and a memory unit, an RF (Radio Frequency) communication chipset, and a CAN FD communication chipset.
3. In paragraph 2, A dynamic load estimation system for vehicle emergency braking, characterized by the above-described attached acceleration sensor module measuring the acceleration at both ends of the contact surface that occurs during the rotation of the tire, deriving the contact time and contact length through this, and detecting the change in the contact length to estimate the dynamic load of the tire in real time.
4. In paragraph 3, A dynamic load estimation system for vehicle emergency braking, characterized in that the central processing unit (CPU) of the above-mentioned MCU (Micro-Controller Unit) chipset estimates dynamic load data by analyzing the acceleration, rotational speed, contact time, and contact length of the tire through a built-in dynamic load estimation algorithm.
5. Using a dynamic load estimation system for vehicle emergency braking according to any one of paragraphs 1 to 4, A step (S100) of recognizing a vehicle or pedestrian in front using a camera sensor and a radar sensor, measuring the distance and relative speed, and transmitting them to an emergency braking electronic control unit (ECU); A step (S200) of transmitting dynamic load data from the above dynamic load estimation system to an emergency braking electronic control unit (ECU); A step (S300) of calculating the time to collision (TTC) using the time to collision (TTC) algorithm of the above emergency braking electronic control unit (ECU); A vehicle emergency braking method characterized by including the step (S400) of pre-setting the calculated collision prediction time and reflecting it in the emergency braking system.

Description

Dynamic Load Estimation System for Vehicle Emergency Braking and Vehicle Emergency Braking Method Using the Same The present invention relates to a dynamic load estimation system for vehicle emergency braking and a vehicle emergency braking method using the same. More specifically, it relates to a technology capable of accurately and safely braking by detecting changes in the dynamic load of a vehicle while driving in real time and calculating the estimated collision time based thereon. Unless otherwise indicated in this specification, the contents described in this section are not prior art for the claims of this application, and are not to be recognized as prior art simply because they are included in this section. Traffic accidents involving vehicles are one of the leading causes of death worldwide. Most of these accidents are caused by errors made by drivers who are inexperienced in handling the vehicle. To address this, vehicles are designed to utilize electronic control systems to detect and recognize hazards on their own, provide information to the driver, or make independent decisions to actively control the vehicle. Furthermore, various types of control systems have been developed due to advancements in advanced electronic control sensors and autonomous driving technology. These systems are generally referred to as Advanced Driver Assistance Systems (ADAS). Representative ADAS systems include the Automatic Emergency Braking (AEB), which automatically reduces speed or stops the vehicle without the driver having to apply the brakes in the event of a collision risk; the Lane Keeping Assist System (LKAS), which maintains the lane by adjusting the driving direction when the vehicle deviates; Smart Cruise Control (ASCC), which automatically maintains a distance from the vehicle ahead while driving at a preset speed; and the Blind Spot Collision Avoidance System (ABSD), which detects blind spot collision risks and assists with safe lane changes. Among these, Automatic Emergency Braking (AEB) is an essential technology for implementing Lane Keeping Assist (LKAS) and Smart Cruise Control (ASCC), as it is related to the function of reducing vehicle speed or bringing the vehicle to a stop. This emergency braking system (AEB) continuously measures the distance to the vehicle ahead or pedestrians using sensors such as LiDAR, radar, and cameras to calculate the estimated collision time. Based on this, it actively activates the braking system in advance when a collision is imminent to bring the vehicle to a stop. Furthermore, since vehicle weight affects braking performance and generally heavier vehicles have longer braking distances, technology is required to incorporate the impact of vehicle weight into the emergency braking system to improve performance and enable faster stopping in emergency situations. As mentioned above, since the Automatic Emergency Braking (AEB) system must automatically activate the braking system to rapidly reduce the vehicle's speed or bring it to a stop, the activation time of the braking system is a very important factor. To improve this operating time, the emergency braking system is programmed to respond to emergency situations by using various advanced sensors to calculate the estimated time of collision with the vehicle ahead in real time and activating the braking system in advance. However, despite the close relationship between emergency braking and vehicle load, there is a problem in that the impact of an actual increase in vehicle load is not reflected in the estimated collision time. Accordingly, to improve upon the aforementioned problem, the present invention aims to develop a dynamic load estimation system for vehicle emergency braking and a vehicle emergency braking method using the same. In this regard, Korean registered patent publication No. 10-2152622 (published September 7, 2020) discloses a device and method for measuring the radius of dynamic load, but this is a technology that attempts to stably maintain the vehicle's posture by measuring the radius of dynamic load of a tire using a cycloid curve, and it still fails to solve the problem that accurate and safe braking cannot be achieved because the dynamic load is not reflected in the calculation of the estimated collision time in the prior art. FIG. 1 is a schematic diagram of an acceleration sensor module attached inside a tire according to one embodiment of the present invention. FIG. 2 is a conceptual diagram of the Z-direction acceleration waveform and tire stop position measured from the acceleration sensor module of FIG. 1. FIG. 3 is a schematic diagram of an integrated communication antenna module according to one embodiment of the present invention. FIG. 4 is an overall schematic diagram of an emergency braking system applying a tire dynamic load estimation system according to another embodiment of the present invention. Fig. 5 is a block diagram of the emergency braking system of Fig. 4. Figure 6 is an