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An investigation on coordination of lane departure warning based on driver behaviour characteristics

International Journal of Vehicle Autonomous Systems 2020年第1期15卷 77-99页

作者： Zheng, Hongyu Zhao, Mingxin State Key Laboratory of Automotive Simulation and Control Jilin University Changchun Jilin130022 China

As an important part of Advanced Driver Assistance Systems (ADAS), Lane Departure Warning System (LDWS) plays a significant role in lane departure prevention and reducing traffic accidents caused by lane departure. In order to improve the warning effect of the system as well as driver acceptance, this paper describes an LDWS algorithm for personalised driving assistance. The proposed combination algorithm consists of a multimode Time to Lane Crossing (TLC) and a Future Offset Distance (FOD) based on driver behaviour characteristics. To detect driver's lane change intention, the steering behaviour has been developed incorporating vehicle states and road curvature. Driving simulator tests are conducted to validate the lane departure warning algorithm with multi-mode based on TLC and FOD under various driving situations. The obtained test results are consistent with the expected performance. © 2020 Inderscience Enterprises Ltd.

关键词： Advanced driver assistance systems

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An Improved Artificial Potential Field Model Considering Vehicle Velocity for Autonomous Driving

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IFAC-PapersOnLine 2018年第31期51卷 863-867页

作者： Hongyu, Hu Chi, Zhang Yuhuan, Sheng Bin, Zhou Fei, Gao State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130025 China

Path planning is one of the most crucial technologies for autonomous driving. An improved artificial potential field method considering vehicle velocity for path planning is presented in this paper. At first, a combined artificial potential field model is proposed, which includes five components, target potential, road potential, lane potential, vehicle potential and velocity potential. Road potential and lane potential considers the road structure and traffic rules in highway driving. In addition, for vehicle potential, a potential field model is constructed with the absolute velocity and relative velocity which influences the safe distance between the host vehicle and the obstacle vehicle. The design of velocity potential is to prevent unnecessary lane changing behavior. Finally, the collision avoidance path for autonomous driving is calculated with gradient method from the superposition of disparate potential function. According to the simulation experimental validation, the results show the proposed method can achieve good performance for autonomous driving in highway. © 2018

关键词： Intelligent vehicle highway systems Gradient methods Motion planning Roads and streets Vehicles Velocity Velocity control Artificial potential field method Artificial potential field models Artificial potential fields Autonomous driving Experimental validations Lane changing behaviors Potential field modeling Vehicle velocity

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LQR Based Battery Charge Sustaining Strategy for Hybrid Electric Vehicle

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IFAC-PapersOnLine 2018年第31期51卷 601-605页

作者： Dafeng, Song Chuqi, Sun Xiaohua, Zeng Nannan, Yang Jilin University State Key Laboratory of Automotive Simulation and Control Changchun130025 China

Rule-based near-optimal control strategy derived from global optimization results has the best real-time performance among current online optimal control strategies of the hybrid electric vehicle. However, the battery charge sustainability based on the rule-based near-optimal control strategy is not theoretically studied in current researches, which is important for robust control in complex driving conditions. In this paper, a deviation correction strategy based on linear quadratic regulator (LQR) is proposed for a power-split hybrid electric bus in order to sustain the battery's state of charge (SOC). The LQR controller is designed according to an equivalent circuit model based on the state feedback control. Offline simulation is carried out to verify the proposed strategy under different driving cycles. Results show that, with the proposed strategy, the SOC can converge to a predefined value at the end of the optimization horizon. © 2018

关键词： Hybrid vehicles automotive batteries Battery management systems Charging (batteries) Equivalent circuits Feedback control Global optimization Hybrid systems Optimal control systems Riccati equations Robust control state feedback Deviation corrections Energy management strategies Equivalent circuit model Linear quadratic regulator Off line simulations Optimal control strategy Quadratic regulators Real time performance

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Energy management of HEVs based on velocity profile optimization

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Science China(Information Sciences) 2019年第8期62卷 204-206页

作者： Lulu GUO Hong CHEN Bingzhao GAO Qifang LIU State Key Laboratory of Automotive Simulation and Control Jilin University Department of Control Science and Engineering Jilin University (Campus NanLing)

Dear editor,Ecological awareness and economical reasons call for a substantial reduction of the fuel consumption of all future automobiles. One of the most realistic short-term solutions to energy saving is represented by hybrid electric vehicles (HEVs). Those strategies that determine power distribution within the hybrid powertrain, as well as the gearshift

关键词： EMS profile Energy management of HEVs based on velocity profile optimization

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Start-up control of Automated Mechanical Transmission with Wet Clutch 2

Start-up Control of Automated Mechanical Transmission with W...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： MIAO Liying CHENG Xiusheng LI Xuesong State Key Laboratory of Automotive Simulation and Control Jilin University

To solve the problems of poor smoothness and big frictional work in start-up of automated mechanical transmission with wet clutch. The start-up fuzzy control strategies is proposed. The precise contro

ISBN: (纸本)9781467389808

关键词： Friction Optimization Fuzzy control Torque Resistance Synchronization Vehicles

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Optimization of Shifting Schedule for Vehicle with Automated Mechanical Transmission based on Dynamic Programming Algorithm 2

Optimization of Shifting Schedule for Vehicle with Automated...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： MIAO Liying CHENG Xiusheng LI Xuesong State Key Laboratory of Automotive Simulation and Control Jilin University

The dynamics model of the AMT system was established. Optimal shifting schedule is proposed by dynamic programming algorithm, which use speed and power requirements as control parameters, and the mini

ISBN: (纸本)9781467389808

关键词： Schedules Engines Resistance Fuels Dynamic programming Heuristic algorithms Indexes

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Cd Single Atom as an Electron Mediator in an S-Scheme Heterojunction for Artificial Photosynthesis of H2O2

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Advanced Energy Materials 2025年第0期

作者： Ruan, Xiaowen Xu, Minghua Ding, Chunsheng Leng, Jing Fang, Guozhen Meng, Depeng Zhang, Wei Jiang, Zhifeng Ravi, Sai Kishore Cui, Xiaoqiang Yu, Jiaguo State Key Laboratory of Automotive Simulation and Control School of Materials Science and Engineering Key Laboratory of Automobile Materials of MOE Jilin Provincial International Cooperation Key Laboratory of High-Efficiency Clean Energy Materials Electron Microscopy Center Jilin University Changchun130012 China School of Energy and Environment City University of Hong Kong Kowloon999077 Hong Kong State Key Laboratory of Molecular Reaction Dynamics Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian116023 China Institute for Energy Research Jiangsu University Zhenjiang212013 China Laboratory of Solar Fuel Faculty of Materials Science and Chemistry China University of Geosciences Wuhan430074 China

Developing conductor-mediated S-scheme heterojunction photocatalysts imitating natural photosynthetic systems emerges as a promising approach to hydrogen peroxide (H2O2) production. However, achieving precise coupling between two semiconductors with a charge shuttle and modulating the interfacial interactions still remain a significant bottleneck. Herein, we propose a catalyst architecture with a Cd single atom mediated S-scheme heterojunction formed by interfacing CdS and TiO2 nanoparticles. This catalyst exhibits an H2O2 production rate as high as 60.33 µmol g−1min−1 under UV–vis light irradiation, which is attributed to the efficient charge transport at the interface of CdS and TiO2 thanks to the Cd single atom mediated S-scheme. In-situ X-ray photoelectron spectroscopy (XPS) and electron spin resonance (ESR) spin-trapping tests confirm the S-scheme charge transfer route. Femtosecond transient absorption (fs-TA) spectroscopy and other ex-situ characterizations further corroborate the efficient charge transport across the catalyst interface. This work offers a new perspective on constructing single atoms mediated heterojunctions to enhance photocatalytic performance. © 2025 The Author(s). Advanced Energy Materials published by Wiley-VCH GmbH.

关键词： X ray photoelectron spectroscopy

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Vehicle cycle analysis comparison of battery electric vehicle and conventional vehicle in china

Vehicle cycle analysis comparison of battery electric vehicl...

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SAE/KSAE 2013 International Powertrains, Fuels and Lubricants Meeting, FFL 2013

作者： Li, Shuhua Li, Jun Li, Nannan Gao, Ying State Key Lab of Automotive Simulation and Control Jilin Univ China

The encouragement for the development of battery electric vehicles (BEVs) has increased in China, especially after the automotive industry planning in 2009. In general, BEVs are associated with a cleaner and more efficient mobility during operation;however the benefits of substituting BEVs for internal combustion engine vehicles (ICEVs) must be evaluated. Vehicle cycle analyses are important tools that provide a comprehensive approach to compare the environmental effects of advanced and conventional vehicles. The goal of this study is to estimate and compare the vehicle cycle energy and emission impacts of a mid-size passenger BEV with a mid-size passenger ICEV in China. It is found that the material production accounts for the majority of the vehicle cycle energy consumption and emissions for the two vehicle types. Comparing the vehicle cycle of the BEV and ICEV, the energy consumption of BEV is 40.0% higher than that of ICEV and the total greenhouse gas (GHG) emissions of BEV is 44.6% higher than that of ICEV, due to the use of energy-intensive materials in the power battery of BEV. Meanwhile, the fuel cycle analyses are used in conjunction with the vehicle cycle analyses to estimate the full automobile lifecycle results. It is found that in the terms of the full life cycle of the ICEV and BEV, the overall energy use of the BEV is 26.6% lower than that of ICEV and the overall GHG emissions of BEV is 12.8% lower than that of ICEV. Copyright © 2013 SAE International and Copyright © 2013 KSAE.

关键词： Energy utilization

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Research on intelligent self-learning system for the electro-pneumatic automated manual transmission gear position

Research on intelligent self-learning system for the electro...

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SAE 2014 World Congress and Exhibition

作者： Sun, Shaohua Li, Shunbo Fu, Yao Yang, Cheng State Key Lab of Automotive Simulation Control Jilin Univ China

In the electro-pneumatic automated mechanical transmission (AMT) system, the manufacturing, assembly, wear, replacement and other issues often lead to gear position change and some differences in various gears of transmission, which reduces the success rate and even results in abnormally working. To solve these problems, based on the intelligent control theories of fuzzy PI control, this research developed an intelligent self-learning system for the AMT gear position. This system contains the position initialization module after assembling (offline module) and the position correction module in use (online module). The system can automatically recognize gear position deviation and actively correct it, which improves the robustness of shift actuator. The precise control of shift actuator is the key of this self-learning system. However, due to the compressibility of air and uncertainty of external flexible dynamics, it is difficult to establish accurate models of the system in each stage, so conventional PID control methods have been unable to accurately control the position of shift cylinder. In this study, the flow equation of shift valve is established based on analysis of the operating principles of electronically controlled pneumatic AMT, and then a fuzzy PI control strategy is developed according to fuzzy control theory. With the platform of pure electric car equipped electrically controlled pneumatic AMT, a series of field vehicle tests were carried out and the results showed that the development of intelligent AMT shift position self-learning system can effectively achieve self-learning of shift position accurately with good consistency and higher efficiency. Copyright © 2014 SAE International.

关键词： Fuzzy control

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Carbody Structural Lightweighting Based on Implicit Parameterized Model

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Chinese Journal of Mechanical Engineering 2014年第3期27卷 483-487页

作者： CHEN Xin MA Fangwu WANG Dengfeng XIE Chen State Key Laboratory of Automotive Simulation and Control Jilin University Zhejiang Geely Automobile Research Institute Co. Ltd

Most of recent research on carbody lightweighting has focused on substitute material and new processing technologies rather than structures. However, new materials and processing techniques inevitably lead to higher costs. Also, material substitution and processing lightweighting have to be realized through body structural profiles and locations. In the huge conventional workload of lightweight optimization, model modifications involve heavy manual work, and it always leads to a large number of iteration calculations. As a new technique in carbody lightweighting, the implicit parameterization is used to optimize the carbody structure to improve the materials utilization rate in this paper. The implicit parameterized structural modeling enables the use of automatic modification and rapid multidisciplinary design optimization （MDO） in carbody structure, which is impossible in the traditional structure finite element method （FEM） without parameterization. The structural SFE parameterized model is built in accordance with the car structural FE model in concept development stage, and it is validated by some structural performance data. The validated SFE structural parameterized model can be used to generate rapidly and automatically FE model and evaluate different design variables group in the integrated MDO loop. The lightweighting result of body-in-white （BIW） after the optimization rounds reveals that the implicit parameterized model makes automatic MDO feasible and can significantly improve the computational efficiency of carbody structural lightweighting. This paper proposes the integrated method of implicit parameterized model and MDO, which has the obvious practical advantage and industrial significance in the carbody structural lightweighting design.

关键词： carbody structural lightweighting implicit parameterization MDO BIW

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