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simulation of the Interaction between Driver and Seat

Chinese Journal of Mechanical Engineering 2013年第6期26卷 1234-1242页

作者： DU Xiaoming REN Jindong SANG Chunlei LI Lemeng Technical Development Department Faw-Volkswagen Automotive Co. Ltd. State Key Lab of Automotive Dynamic Simulation Jilin University

Test is one of methods to acquire human-seat pressure distribution in driving, with the deficiency of being uneasy to obtain the stress information of soft tissue inside human body and the sheer force of interface between human and seat, which can be obtained by simulation. But current simulation method focuses mainly on calculation itself other than combining it with posture prediction and cab packaging parameters, which cause it difficult to acquire accurate pressure calculation results without accurate posture of human body, and make it almost meaningless to design optimization. Therefore, a human body geometric model with posture change capability is built and linked up with Cascade Prediction Model（CPM）, which takes cab packaging parameters as inputs. A detailed finite element model of driver human body is constructed and used to conduct the driver-seat interaction simulation between human body and seat. Good accordance of pressure distribution is observed between simulation and test, which validates the simulation. In addition to the distribution pattern, curves on key sections are used to analyze the pressure and shear stress on the seat surface, as well as soft tissue stress inside human body. The simulation shows that the maximum stress of buttocks locates under the ischial tuberosity, and the maximum stress of trunk occurs near the scapula posterior and the lower waist. These are the places where fatigue usually occurs. The maximum pressure of seat appears at the driver-seat contact area corresponding to the driver＇s maximum skin tissue stress. In order to guide the seat design and cab packaging and study the influence of posture to pressure distribution, finite element models for different levels of cab packaging parameters are created by using CPM. The pressure distributions are calculated and their tendencies varying with cab packaging parameters are obtained. The method presented provides a new way to accurately simulate the interaction between driver

关键词： seating comfort pressure distribution posture prediction model packaging parameters

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Performance Development Target Setting of Passenger Car Diesel Engine

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Chinese Journal of Mechanical Engineering 2013年第3期26卷 512-517页

作者： ZHENG Guangyong YU Xiumin LIU Jiangwei SONG Tao LI Wenxiang State Key Lab of Automotive Dynamic Simulation Jilin University Research and Development Center FAW Group Corporation

Setting engine emission targets to meet diesel car requirements is particularly important in engine performance development phase. Many researches are focused on associating vehicle performance with engine targets, but most work is done by testing, which is time and cost consuming, furthermore, the relationship of vehicle and engine will change when either engine or vehicle changes. A GT-Drive model to simulate New European Driving Cycle (NEDC) for passenger car is developed and calibrated by testing data, model precision is controlled within 5%. Time distribution of engine operating conditions when car running NEDC cycle has been analyzed, 10 critical major engine operating points are summarized according to running time proportion. Emission of NOx and smoke control regions containing these 10 points for target engine are set. Vehicle emissions are simulated and evaluated during engine development after engine performance test data are got, and engine combustion system layout and calibration are adjusted until vehicle targets are met. Vehicle is tested in chassis dynamometer finally, the testing results show a good agreement with the simulated results with an error of less than 5%, which proves that the emission value exchange of vehicle and engine is reliable. Performance target decomposition method for passenger car diesel presented can greatly shorten the development cycle and save costs.

关键词： passenger car diesel engine emission target New European Driving Cycle simulation analysis

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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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Optimal car-following control for intelligent vehicles using online road-slope approximation method

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Science China(Information Sciences) 2021年第1期64卷 94-109页

作者： Hongqing CHU Lulu GUO Hong CHEN Bingzhao GAO State Key Laboratory of Automotive Simulation and Control Jilin University Center for Cyber-Physical systems University of Georgia Clean Energy Automotive Engineering Center Tongji University

The design of a car-following control system is a multiobjective optimization problem that involves issues in rider safety, ride comfort, and fuel economy. This study proposes a hierarchical design of optimal car-following control where the system is intuitively split into two subsystems with different dynamic properties. Specifically, the high-level subsystem is a linear car-following system with a measurable disturbance of the preceding vehicle's acceleration, while the low-level subsystem is a nonlinear accelerationtracking system with an unmeasurable road slope. In the design of optimal car-following control, the measurable disturbance of the preceding vehicle's acceleration is considered from a theoretical perspective, and the unmeasurable road slope is estimated by a novel engineering-oriented approximation method to reduce the influence of driveline oscillation. The performance of the proposed optimal control scheme is evaluated through simulation and real-vehicle experiments, which show that the proposed control algorithm provides a satisfactory road-slope approximation accuracy and that the car-following performance of the proposed optimal control system is better than that of a factory-installed adaptive cruise controller.

关键词： car-following control road-slope approximation hierarchical design linear quadratic regulator intelligent vehicle

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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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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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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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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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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

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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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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