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Multi-Scale Design and Optimization of co.posite Material Structure for Heavy-Duty Truck Protection Device

co.puter Modeling in Engineering & Sciences 2024年第5期139卷 1961-1980页

作者： Yanhui Zhang Lianhua Ma Hailiang Su Jirong Qin Zhining Chen Kaibiao Deng School of Mechanical and Automotive Engineering Guangxi University of Science and TechnologyLiuzhou545006China co.mercial Vehicle Technology Center Dongfeng Liuzhou Automobile Co.Ltd.Liuzhou545005China School of Mechanical and Automotive Engineering South China University of TechnologyGuangzhou510641China

In this paper,to present a lightweight-developed front underrun protection device(FUPD)for heavy-duty trucks,plain weave carbon fiber reinforced plastic(CFRP)is used instead of the original high-strength ***,the mechanical and structural properties of plain carbon fiber co.posite anti-co.lision beams are co.paratively analyzed from a multi-scale *** studying the design capability of carbon fiber co.posite materials,we investigate the effects of TC-33 carbon fiber diameter(D),fiber yarn width(W)and height(H),and fiber yarn density(N)on the front underrun protective beam of carbon fiber *** on the investigation,a material-structure matching strategy suitable for the front underrun protective beam of heavy-duty trucks is ***,the co.posite material structure is optimized by applying size optimization and stack sequence optimization methods to obtain the higher performance carbon fiber co.posite front underrun protection beam of co.mercial *** results show that the fiber yarn height(H)has the greatest influence on the protective beam,and theH1matching scheme for the front underrun protective beamwith a carbon fiber co.posite structure exhibits superior *** proposed method achieves a weight reduction of 55.21% while still meeting regulatory requirements,which demonstrates its remarkable weight reduction effect.

关键词： Structural optimization front underrun protection device carbon fiber reinforced plastic multi-scale model lightweight design

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Real-Time co.optimization of Gear Shifting and Engine Torque for Predictive Cruise co.trol of Heavy-Duty Trucks

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Chinese Journal of Mechanical Engineering 2024年第2期37卷 294-317页

作者： Hongqing Chu Xiaoxiang Na Huan Liu Yuhai Wang Zhuo Yang Lin Zhang Hong Chen School of Automotive Studies Tongji UniversityShanghaiChina Department of Engineering University of CambridgeCambridgeUK State Key Laboratory of Automotive Simulation and co.trol Jilin UniversityChangchunChina Qingdao Automotive Research Institute Jilin UniversityQingdaoChina dongfeng co.mercial Vehicle Technology Center Dongfeng Motor CorporationWuhanChina

Fuel co.sumption is one of the main co.cerns for heavy-duty *** cruise co.trol(PCC)provides an intriguing opportunity to reduce fuel co.sumption by using the upco.ing road *** this study,a real-time implementable PCC,which simultaneously optimizes engine torque and gear shifting,is proposed for heavy-duty *** minimize fuel co.sumption,the problem of the PCC is formulated as a nonlinear model predictive co.trol(MPC),in which the upco.ing road elevation information is *** the solution of the nonlinear MPC is time co.suming;thus,a real-time implementable solver is developed based on Pontryagin’s maximum principle and indirect shooting *** programming(DP)algorithm,as a global optimization algorithm,is used as a performance benchmark for the proposed ***,hardware-in-the-loop and real-truck experiments are co.ducted to verify the performance of the proposed *** results demonstrate that the MPC-based solution performs nearly as well as the DP-based solution,with less than 1%deviation for testing ***,the proposed co.optimization co.troller is implementable in a real-truck,and the proposed MPC-based PCC algorithm achieves a fuel-saving rate of 7.9%without co.promising the truck’s travel time.

关键词： Heavy-duty truck Predictive cruise co.trol Model predictive co.trol Pontryagin’s maximum principle Real-truck implementation

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Lightweight Design of co.mercial Vehicle Cab Based on Fatigue Durability

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co.puter Modeling in Engineering & Sciences 2023年第7期136卷 421-445页

作者： Donghai Li Jiawei Tian Shengwen Shi Shanchao Wang Jucai Deng Shuilong He School of Mechanical and Electrical Engineering Guilin University of Electronic TechnologyGuilin541004China dongfeng liuzhou motor co. Ltd.Liuzhou545005China

To better improve the lightweight and fatigue durability performance of the tractor cab,a multi-objective lightweight design of the cab was carried out in this ***,the finite element model of the cab with co.nterweight loading was established and then co.firmed by the physical testing,and use the inertial reliefmethod to obtain stress distribution under unit *** cab-frame rigid-flexible co.plingmulti-body dynamicsmodelwas built by Adams/car *** the cab airbag mount displacement and acceleration signals acquired on the proving ground as the desired signals and obtaining the fatigue analysis load spectrum through Femfat-Lab virtual *** fatigue simulation analysis is performed in nco.e based on the Miner linear fatigue cumulative damage ***,with themass and fatigue damage values as the optimization objectives,the bending-torsional stiffness and first-order bending-torsional mode as co.straints,the thickness variables are screed based on the sensitivity *** experimental design was carried out using the Optimal Latin hypercube method,and the multi-objective optimal design of the cab was carried out using theKriging approximationmodel fitting and particle *** weight of the optimized cab is reduced by 7.8%on the basis of meeting the fatigue durability ***,a seven-axis road simulation test rig was designed to verify its fatigue *** results show the optimized cab can co.sider both lightweight and durability.

关键词： Finite element analysis multi-body dynamics fatigue durability analysis sensitivity analysis lightweight design particle swarm optimization

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Optimization of Engine co.trol Strategies for Low Fuel co.sumption in Heavy-Duty co.mercial Vehicles

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co.puter Modeling in Engineering & Sciences 2023年第12期137卷 2693-2714页

作者： Shuilong He Yang Liu Shanchao Wang Liangying Hu Fei Xiao Chao Li School of Mechanical and Electrical Engineering Guilin University of Electronic TechnologyGuilin541004China Technology Center of co.mercial Vehicle Dongfeng Liuzhou Motor Co.Ltd.Liuzhou545005China

The reduction of fuel co.sumption in engines is always co.sidered of vital *** these lines,in this work,this goal was attained by optimizing the heavy-duty co.mercial vehicle engine co.trol *** specifically,at first,a general first principles model for heavy-duty co.mercial vehicles and a transient fuel co.sumptionmodel for heavy-duty co.mercial vehicles were developed and the parameters were adjusted to fit the empirical *** accuracy of the proposed modelwas demonstrated fromthe stage and the final ***,the co.trol optimization problem resulting in low fuel co.sumption in heavy co.mercial vehicles was described,with minimal fuel usage as the optimization goal and throttle opening as the co.trol ***,a time-co.tinuous engine management approach was ***,the factors that influence low fuel co.sumption in heavy-duty co.mercial vehicles were systematically *** reduce the co.puting co.plexity,the co.trol strategies related to the time co.straints of the engine were parametrized using three different *** most effective solution was obtained by applying a global optimization strategy because the co.strained optimization problem was ***,the effectiveness of the low-fuel co.sumption engine co.trol strategy was demonstrated by co.paring the simulated and field test results.

关键词： Fuel co.sumption heavy-duty co.mercial vehicle engine co.trol optimal co.trol

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Performance Limit Evaluation Strategy for Automated Driving Systems

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Automotive Innovation 2022年第1期5卷 79-90页

作者： Feng Gao Jianwei Mu Xiangyu Han Yiheng Yang Junwu Zhou State Key Laboratory of Vehicle NVH and Safety Technology ChongqingChina co.lege of Mechanical and Vehicle Engineering Chongqing UniversityChongqingChina Passenger Vehicle Technical Center Dongfeng Liuzhou Motor Co.LtdLiuzhouChina

Efficient detection of performance limits is critical to autonomous *** autonomous driving is difficult to be realized under co.plicated scenarios,an improved genetic algorithm-based evolution test is proposed to accelerate the evaluation of performance *** co.ducts crossover operation at all positions and mutation several times to make the high-quality chromosome exist in candidate offspring *** the normal offspring is selected statistically based on the scenario co.-plexity,which is designed to measure the difficulty of realizing autonomous driving through the Analytic Hierarchy *** benefits of modified cross/mutation operators on the improvement of scenario co.plexity are analyzed ***,the effectiveness of improved genetic algorithm-based evolution test is validated after being applied to evaluate the co.lision avoidance performance of an automatic parallel parking system.

关键词： Autonomous driving Test and evaluation Evolution test Genetic algorithm

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Fluid-Structure co.pled Analysis of the Transient Thermal Stress in an Exhaust Manifold

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Fluid Dynamics & Materials Processing 2023年第11期19卷 2777-2790页

作者： Liang Yi Wen Gang Nenggui Pan Wangui Wang Shengshuai Mo co.lege of Automotive Engineering Guilin University of Aerospace TechnologyGuilin541004China Passenger Vehicle Technology Center Dongfeng Liuzhou Automobile Co.Ltd.Liuzhou545005China

The development of thermal stress in the exhaust manifold of a gasoline engine is *** problem is addresses in the frame of a co.bined approach wherefluid and structure are co.pled using the GT-POWER and STAR-CCM+***,the external characteristic curve of the engine is co.pared with a one-dimen-sional simulation model,then the parameters of the model are modified until the curve matches the available experimental ***-POWER is then used to transfer the inlet boundary data under transient co.ditions to STAR-CCM+in *** temperature profiles of the inner and outer walls of the exhaust manifold are obtained in this way,together with the thermal stress and thermal deformation of the exhaust manifold *** this information,the original model is improved through the addition of ***,the local branch pipes are optimized,leading to significant improvements in terms of thermal stress and thermal deforma-tion of the exhaust manifold(a 7%reduction in the maximum thermal stress).

关键词： Exhaust manifold fluid-structure co.pling temperaturefield thermal stress

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A Shifting Strategy for Electric co.mercial Vehicles co.sidering Mass and Gradient Estimation

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co.puter Modeling in Engineering & Sciences 2023年第10期137卷 489-508页

作者： Weiguang Zheng Junzhu Zhang Shanchao Wang Gaoshan Feng Xiaohong Xu Qiuxiang Ma School of Mechanical and Electrical Engineering Guilin University of Electronic TechnologyGuilin541004China co.mercial Vehicle Technology Center Dongfeng Liuzhou Automobile Co.Ltd.Liuzhou545005China School of Mechanical and Automotive Engineering Guangxi University of Science and TechnologyLiuzhou545005China

The extended Kalman filter (EKF) algorithm and acceleration sensor measurements were used to identify vehiclemass and road gradient in the work. Four different states of fixed mass, variable mass, fixed slope and variableslope were set to simulate real-time working co.ditions, respectively. A co.prehensive electric co.mercial vehicleshifting strategy was formulated acco.ding to the identification results. The co.simulation results showed that,co.pared with the recursive least square (RLS) algorithm, the proposed algorithm co.ld identify the real-timevehicle mass and road gradient quickly and accurately. The co.prehensive shifting strategy formulated had thefollowing advantages, e.g., avoiding frequent shifting of vehicles up the hill, making full use ofmotor braking downthe hill, and improving the overall performance of vehicles.

关键词： EKF algorithm electric co.mercial vehicle vehicle mass road gradient co.prehensive shifting strategy

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Obstacle Avoidance in Multi-Agent Formation Process Based on Deep Reinforcement Learning

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Journal of Shanghai Jiaotong university(Science) 2021年第5期26卷 680-685页

作者： JI Xiukun HAI Jintao LUO Wenguang LIN Cuixia XIONG Yu OU Zengkai WEN Jiayan Guangxi Key Laboratory of Auto Parts and Vehicle Technology School of Electrical and Information EngineeringGuangxi University of Science and TechnologyLiuzhou 545006GuangxiChina Technology Center of dongfeng liuzhou Automobile co. Ltd.Liuzhou 545000GuangxiChina

To solve the problems of difficult co.trol law design,poor portability,and poor stability of traditional multi-agent formation obstacle avoidance algorithms,a multi-agent formation obstacle avoidance method based on deep reinforcement learning(DRL)is *** method co.bines the perception ability of co.volutional neural networks(CNNs)with the decision-making ability of reinforcement learning in a general form and realizes direct output co.trol from the visual perception input of the environment to the action through an end-to-end learning *** multi-agent system(MAS)model of the follow-leader formation method was designed with the wheelbarrow as the co.trol *** improved deep Q netwrok(DQN)algorithm(we improved its disco.nt factor and learning efficiency and designed a reward value function that co.siders the distance relationship between the agent and the obstacle and the co.rdination factor between the multi-agents)was designed to achieve obstacle avoidance and co.lision avoidance in the process of multi-agent formation into the desired *** simulation results show that the proposed method achieves the expected goal of multi-agent formation obstacle avoidance and has stronger portability co.pared with the traditional algorithm.

关键词： wheelbarrow multi-agent deep reinforcement learning(DRL) formation obstacle avoidance

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co.trol Strategy Research of a Selective Catalytic Reduction System for Heavy-Duty Application

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Journal of Shanghai Jiaotong university(Science) 2017年第5期22卷 577-588页

作者：王天田林峰胡杰柯于强张岳秋 Hubei Key Laboratory of Advanced Technology for Automotive co.ponents & Hubei co.laborative Innovation Center for Automotive co.ponents Technology Wuhan University of Technology dongfeng liuzhou motor co. Ltd. Beijing Municipal Vehicle Emission Management Center

An AdBlue dosing co.trol strategy of the selective catalytic reduction (SCR) system is developed for a heavy-duty diesel (HDD) engine. The strategy includes a raw emission prediction model, an ammonia (NH3) co.erage prediction model, a transient heat hysteresis co.rection algorithm, an NH3 leakage co.trol model for transient operation co.ditions, and a feedback co.troller (FBC). FBC has been developed by using mathematical manipulation to change output signal of sensor based on cross-sensitivity of nitrogen oxide (NOx) sensor to NH3. The quantification of co.trol parameters is based on experiments and Nyquist stability criterion. FBC is enabled in most test co.ditions to satisfy the stability requirements. NOxco.version (DeNOx) efficiency of SCR system is 82.4% in European steady-state cycle (ESC) test and 80.3% in European transient cycle (ETC) test, while the leakage of NH3 is under 10−5volume fraction in average. © 2017, Shanghai Jiaotong University and Springer-Verlag GmbH Germany.

关键词： Nitrogen oxides Stability criteria

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Research on the Establishment and Application of Demand Value Analysis Model for Automobile Products

Research on the Establishment and Application of Demand Valu...

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2021中国汽车工程学会年会暨展览会

作者： Xiong Yu Yuan Heng Zeng Wensheng Zhou Junwu dongfeng liuzhou Automobile co. Ltd

An innovative method of value analysis of automobile product demand is proposed which includes two sub models:creative demand value and co.mercial value *** creative demand analysis model can be employed to analyze the various demands in the early stage that the customers have no *** the prototype samples or advanced technologies are developed acco.ding to screening high value demand,the customer can be organized to experience this,and then co.mercial value analysis model is used to make co.mercial investment *** method improves the limitation of Kano model analysis,which can be used and popularized as a demand decision analysis tool in the product development of *** demand analysis method is carried out with practical cases,which can improve the decision efficiency and quality in the early stage of automobile product development,shorten the development cycle and reduce the development co.t.

关键词： automobile product customer and user demand demand value analysis model investment decision

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