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Simulation of Curved Road Collision Prevention Warning System of Automobile Based on V2X

Jilin University-Xuanhe Li, Jian Wu, Rui He, Bing Zhu, Jian Zhao, Hang Zhou
  • Technical Paper
  • 2020-01-0707
To be published on 2020-04-14 by SAE International in United States
The high popularity of automobiles has led to frequent collisions. According to the latest statistics of the United Nations, about 1.25 million people worldwide die from road traffic accidents each year. In order to improve the safety of vehicles in driving, the active safety system has become a research hotspot of various car companies and research institutions around the world. Among them, the more mature and popular active security system are Forward Collision Warning(FCW) and Autonomous Emergency Braking(AEB). However, the current active safety system is based on traditional sensors such as radar and camera. Therefore, the system itself has many limitations due to the shortage of traditional sensors. Compared to traditional sensors, Vehicle to Everything (V2X) technology has the advantages of richer vehicle parameter information, no perceived blind spots, dynamic prediction of dangerous vehicle status, and no occlusion restriction. In order to overcome the many shortcomings of the existing anti-collision warning system and strategy, this paper proposes a curved road collision prevention warning strategy based on V2X technology. Through V2X technology, the state information released…
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Pressure Tracking Control of Electro-Mechanical Brake Booster System

Jilin University-Weihong Yang, Jian Wu, Rui He, Bing Zhu, Jian Zhao, Zhicheng Chen
  • Technical Paper
  • 2020-01-0211
To be published on 2020-04-14 by SAE International in United States
The Electro-Mechanical Brake Booster system (EMBB) is a kind of novel braking booster system, which integrates active braking, regenerative braking, and other functions. It usually composes of a servo motor and the transmission mechanism. EMBB can greatly meet the development needs of vehicle intelligentization and electrification. During active braking, EMBB is required to respond quickly to the braking request and track the target pressure accurately. However, due to the highly nonlinearity of the hydraulic system and EMBB, traditional control algorithms especially for PID algorithm do not work well for pressure control. And a large amount of calibration work is required when applying PID algorithms to pressure control in engineering. In this paper, a fuzzy adaptive PI pressure control algorithm based on feed-forward is proposed to a novel self-designed EMBB mechanism, which is utilized to overcome the nonlinear pressure control problem when EMBB is in active braking and improve the control effect of PID algorithm. First, the structure of the EMBB system used in the paper and its working principle is presented. Second, this paper designs…
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A Path Planning and Model Predictive Control for Automatic Parking System

Jilin University-Xiangxi Meng, Jian Wu, Rui He, Bing Zhu, Jian Zhao
  • Technical Paper
  • 2020-01-0121
To be published on 2020-04-14 by SAE International in United States
With the increasing number of urban cars, parking has become the primary problem that people face in daily life. Therefore, many scholars have studied the automatic parking system. In the existing research, most of the path planning methods use the combined path of arc and straight line. In this method, the path curvature is not continuous, which indirectly leads to the low accuracy of path tracking. The parking path designed using the fifth-order polynomial is continuous, but its curvature is too large to meet the steering constraints in some cases. In this paper, a continuous-curvature parking path is proposed. The parking path tracker based on Model Predictive Control (MPC) algorithm is designed under the constraints of the control accuracy and vehicle steering. Firstly, in order to make the curvature of the parking path continuous, this paper superimposes the fifth-order polynomial with the sigmoid function, and the curve obtained has the continuous and relatively small curvature. Therefore, the superposition curve is used as a parallel parking path while the superposition curve and its inverse function curve…
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Personalized Human-Machine Cooperative Lane-change Based on Recurrent Neural Network

Jilin University-Bing Zhu, Jiayi Han, Jian Zhao
  • Technical Paper
  • 2020-01-0131
To be published on 2020-04-14 by SAE International in United States
To reduce the interference and conflict of human-machine cooperative control and improve the friendliness and acceptability of intelligent vehicles, a personalized human-machine cooperative lane-change method was proposed. Firstly, a test platform with active steering in the loop was built based on MATLAB/Simulink and PreScan. The lane-change test condition for data collection were designed, and the lane-change behaviors data of five drivers with different personalities were collected. Then, a multi-layer recurrent neural network (RNN) was built based on Long Short-Term Memory (LSTM) to learn the lane-change behaviors of each driver and a personalized lane-change method was trained for each driver. In addition, the lane-change data from previous research that did not include these five drivers was used to retrain the RNN, and this RNN was used as the default lane-change method for comparison. The training results show that compared with the default method, the personalized method is closer to the driver's steering wheel operation in the lane-change process, and the more stable the driver's driving behavior is, the better the fitting effect will be. Finally, the…
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Lidar Inertial Odometry and Mapping for Autonomous Vehicle in GPS-denied Parking Lot

Jilin University-Xuesong Chen, Sumin Zhang, Jian Wu, Rui He, Shiping Song, Bing Zhu, Jian Zhao
  • Technical Paper
  • 2020-01-0103
To be published on 2020-04-14 by SAE International in United States
High-precision and real-time ego-motion estimation is vital for autonomous vehicle. There is a lot GPS-denied maneuver such as underground parking lot in urban areas. Therefore, the localization system relying solely on GPS cannot meets the requirements. Recently, lidar odometry and visual odometry have been introduced into localization systems to overcome the problem of missing GPS signals. Compared with visual odometry, lidar odometry is not susceptible to light, which is widely applied in weak-light environments. Besides, the autonomous parking is highly dependent on the geometric information around the vehicle, which makes building map of surroundings essential for autonomous vehicle. We propose a lidar inertial odometry and mapping. By sensor fusion, we compensate for the drawback of applying a single sensor, allowing the system to provide a more accurate estimate. Compared to other odometry using IMU and lidar, we apply a tight coupled of lidar and IMU method to achieve lower drift, which can effectively overcome the degradation problem based on pure lidar method, ensuring precise pose estimation in fast motion. In addition, we propose a map…
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Research on Yaw Stability Control of Unmanned Vehicle Based on Integrated Electromechanical Brake Booster

Jilin University-Dexing Lao, Jian Wu, Rui He, Bing Zhu, Jian Zhao, Zhicheng Chen
  • Technical Paper
  • 2020-01-0212
To be published on 2020-04-14 by SAE International in United States
The Electromechanical Brake Booster(EMBB) integrates active braking and energy recovery and becomes a novel brake-by-wire solution that substitutes the vacuum booster. While the intelligent unmanned vehicle is in unstable state, the Electromechanical Brake Booster can improve the vehicle yaw stability more quickly and safely. In this paper, a new type of intgarted EMBB has been designed, which mainly includes two parts: servo motor unit and hydraulic control unit. Aiming at the dynamics instability problem of intelligent unmanned vehicle, a three-layer vehicle yaw stability control structure including decision layer, distribution layer and execution layer is proposed based on integrated EMBB. Firstly, the decision layer calculates the ideal yaw rate and the side slip angle of the vehicle with the classic 2DOF vehicle dynamics model. The boundary of the stable region is determined by the phase plane method and the additional yaw moment is determined by the feedback PI control algorithm. Secondly, the distribution layer optimally selects the wheel with the highest differential braking efficiency and assigns the brake pressure to the corresponding wheel based on the…
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Research on Compensation Redundancy Control for Basic Force Boosting Failure of Electro-Booster Brake System

Jilin University-Jian Zhao, Zhicheng Chen, Bing Zhu, Jian Wu
  • Technical Paper
  • 2020-01-0216
To be published on 2020-04-14 by SAE International in United States
As a new brake-by-wire solution, the electro-booster (Ebooster) brake system can work with the electronic stability program (ESP) equipped in the real vehicle to realize various excellent functions such as basic force boosting (BFB), active braking and energy recovery, which is promoting the development of smart vehicles. Among them, the BFB is the function of Ebooster's servo force to assist the driver's brake pedal force establishing high-intensity braking pressure. After the BFB function failure of the Ebooster, it was not possible to provide sufficient brake pressure for the driver's normal braking, and eventually led to traffic accidents. In this paper, a compensation redundancy control strategy based on ESP is proposed for the BFB failure of the self-designed Ebooster. Firstly, introduced the working principle of Ebooster and ESP, and a suitable pressure-building circuit was selected for the dual brake actuator system; Secondly, after the BFB failure of Ebooster, the rule-based strategy of braking awareness recognition was designed. Thirdly, a layered closed-loop compensation control strategy is designed based on the ESP to restore the pressure building capacity…
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A Maneuver-Based Threat Assessment Strategy for Collision Avoidance

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

Beihang University, China-Weiwen Deng
General Motors LLC, USA-Jinsong Wang
  • Journal Article
  • 07-12-01-0003
Published 2019-08-22 by SAE International in United States
Advanced driver-assistance systems (ADAS) are being developed for more and more complicated application scenarios, which often require more predictive strategies with better understanding of the driving environment. Taking traffic vehicles’ maneuvers into account can greatly expand the beforehand time span for danger awareness. This article presents a maneuver-based strategy to vehicle collision threat assessment. First, a maneuver-based trajectory prediction model (MTPM) is built, in which near-future trajectories of ego vehicle and traffic vehicles are estimated with the combination of vehicle’s maneuvers and kinematic models that correspond to every maneuver. The most probable maneuvers of ego vehicle and each traffic vehicles are modelled and inferred via Hidden Markov Models with mixture of Gaussians outputs (GMHMM). Based on the inferred maneuvers, trajectory sets consisting of vehicles’ position and motion states are predicted by kinematic models. Subsequently, time to collision (TTC) is calculated in a strategy of employing collision detection at every predicted trajectory instance. For this purpose, safe areas via bounding boxes are applied on every vehicle, and Separating Axis Theorem (SAT) is applied for collision prediction…
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Accurate Pressure Control Strategy of Electronic Stability Program Based on the Building Characteristics of High-Speed Switching Valve

Jilin University-Zhicheng Chen, Jian Wu, Bing Zhu
Published 2019-04-02 by SAE International in United States
The Electronic Stability Program (ESP), as a key actuator of traditional automobile braking system, plays an important role in the development of intelligent vehicles by accurately controlling the pressure of wheels. However, the ESP is a highly nonlinear controlled object due to the changing of the working temperature, humidity, and hydraulic load. In this paper, an accurate pressure control strategy of single wheel during active braking of ESP is proposed, which doesn’t rely on the specific parameters of the hydraulic system and ESP. First, the structure and working principle of ESP have been introduced. Then, we discuss the possibility of Pulse Width Modulation (PWM) control based on the mathematical model of the high-speed switching valve. Subsequently, the pressure building characteristics of the inlet and outlet valves are analyzed by the hardware in the Loop (HiL) experimental platform. After that, the single closed loop pressure control strategy for the inlet valve and the cascade control strategy for the outlet valve are designed. Finally, the parameters of the control strategy are set and verified through the HiL…
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Regenerative Braking Pedal Decoupling Control for Hydraulic Brake System Equipped with an Electro-Mechanical Brake Booster

Jilin University-Jian Zhao, Zhiqiang Hu, Bing Zhu
Published 2019-04-02 by SAE International in United States
Electrification and intelligence are the important development directions of vehicle techniques. The Electro-Mechanical Brake Booster (Ebooster) as a brake booster which is powered by a motor, can be used to replace the traditional vacuum booster. Ebooster not only improves the intelligence level of vehicle braking and significantly improves the braking performance, but also adapts to the application in new energy vehicles and facilitates coordinated regenerative braking. However, Ebooster cannot complete pedal decoupling independently. It needs to cooperate with other components to realize pedal decoupling. In this paper, a pedal decoupling control algorithm for regenerative brake, which is based on the coordination control of Ebooster and ESP, is proposed. First, regenerative braking strategy is designed to distribute the hydraulic brake force and regenerative braking force. Then, the coordinated control strategy of Ebooster and ESP is proposed, and the decoupling of brake pedal and brake wheel cylinder is realized. Finally, series of simulations are carried out under regenerative braking condition. The results show that the control algorithm introduced in this paper can achieve the decoupling of brake…
This content contains downloadable datasets
Annotation ability available