Stability-Considered Lane Keeping Control of Commercial Vehicles Based on Improved APF Algorithm

Regarding the lane keeping system,path tracking accuracy and lateral stability at high speeds need to be taken into account especially for commercial vehicles due to the characteristics of larger mass,longer wheelbase and higher mass center.To improve the performance mentioned above comprehensively,the control strategy based on improved artificial potential field(APF)algorithm is proposed.In the paper,time to lane crossing(TLC)is introduced into the potential field function to enhance the accuracy of path tracking,meanwhile the vehicle dynamics parameters including yaw rate and lateral acceleration are chosen as the repulsive force field source.The lane keeping controller based on improved APF algorithm is designed and the stability of the control system is proved based on Lyapunov theory.In addition,adaptive inertial weight particle swarm optimization algorithm(AIWPSO)is applied to optimize the gain of each potential field function.The co-simulation results indicate that the comprehensive evaluation index respecting lane tracking accuracy and lateral stability is reduced remarkably.Finally,the proposed control strategy is verified by the HiL test.It provides a beneficial reference for dynamics control of commercial vehicles and enriches the theoretical development and practical application of artificial potential field method in the field of intelligent driving.

A Shifting Strategy for Electric Commercial Vehicles Considering Mass and Gradient Estimation

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 conditions, respectively. A comprehensive electric commercial vehicleshifting strategy was formulated according to the identification results. The co-simulation results showed that,compared with the recursive least square (RLS) algorithm, the proposed algorithm could identify the real-timevehicle mass and road gradient quickly and accurately. The comprehensive 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.

Optimization of Engine Control Strategies for Low Fuel Consumption in Heavy-Duty Commercial Vehicles

The reduction of fuel consumption in engines is always considered of vital importance.Along these lines,in this work,this goal was attained by optimizing the heavy-duty commercial vehicle engine control strategy.More specifically,at first,a general first principles model for heavy-duty commercial vehicles and a transient fuel consumptionmodel for heavy-duty commercial vehicles were developed and the parameters were adjusted to fit the empirical data.The accuracy of the proposed modelwas demonstrated fromthe stage and the final results.Next,the control optimization problem resulting in low fuel consumption in heavy commercial vehicles was described,with minimal fuel usage as the optimization goal and throttle opening as the control variable.Then,a time-continuous engine management approach was assessed.Next,the factors that influence low fuel consumption in heavy-duty commercial vehicles were systematically examined.To reduce the computing complexity,the control strategies related to the time constraints of the engine were parametrized using three different methods.The most effective solution was obtained by applying a global optimization strategy because the constrained optimization problem was nonlinear.Finally,the effectiveness of the low-fuel consumption engine control strategy was demonstrated by comparing the simulated and field test results.

数字化、电动出行和城市物流是大趋势 德国汽车工业协会(VDA)主席马蒂亚斯-魏斯曼(Matthias Wissmann)谈第66届汉诺威国际商用车展(IAA Commercial Vehicles)

今年IAA的口号“Driven by Ideas'(创意驱动)在这场全球最重要的交通、物流和移动性行业贸易展上真正得到了贯彻落实。在汉诺威,未来正在变成看得见的现实。今年IAA的口号“Driven by Ideas”(创意驱动)在这场全球最重要的交通、物流和移动性行业贸易展上真正得到了贯彻落实。在汉诺威,未来正在变成看得见的现实。整个商用车行业向IAA观众展示了创新、创造力和先锋精神。这些品质表现在332款产品的全球首发和1 00多款产品的欧洲首发。此次IAA更是决策者的贸易展,并且国际化程度前所未有。

Guest editorial of "Application of high strength steels in lightweight commercial vehicles"

New and increasingly sharp laws for the reduction of emissions from commercial vehicles entered into force in the European Union since 1993 with the aim of substan-tially reducing pollutants and emissions from trucks and buses. Thereby the maximum levels for the emission of particulate matter （basically soot particles） as well as oxides of nitrogen （NOx） have been subsequently lowered. To comply with these demands, commercial vehicle producers had to introduce new emission reducing technologies of which exhaust-gas recirculation （EGR）,

Innovative manufacturing technology enabling light weighting with steel in commercial vehicles

Improved manufacturing technology is often needed when working with high strength steel. In this re- spect manufacturing technology has to adapt to the altered （and typically reduced） formability and weldability of modern high strength steel. However, this is a rather passive approach from a manufacturing point of view. An indeed much more powerful approach is to generate synergies between innovative manufacturing technology, design and material enabling additional weight savings and efficiency gains. Laser-based material processing, in particular laser welding, offers a wide range of opportunities in this sense. Furthermore, hot stamping and roll forming open up new possibilities for advanced manufacturing of commercial vehicle components. Applications and examples of these technologies will be given in terms of producing innovative semi-products as well as final components.

Sustainable development of China's commercial vehicles

Automobiles are the major contributor to fuel consumption and emission of pollutants. The growth of the vehicle fleet has also placed enormous pressure on China＇s energy supply and environment. Thus sustainable development of the Chinese automotive industry must pay significant attention to fuel-saving and emission-reduction of vehicles. Although commercial vehicles make up only about 20% of the entire automobile fleet, their contribution to energy-consumption and emission of pollutants is significant. Thus, priority should be given to fuel-saving and emission-reduction of commercial vehicles. As a result of concerted efforts by Chinese government, industry and enterprises, great progress has been made in technologies concerning new-energy, intelligent and lightweight auto- mobiles. However, compared with developed countries, the level of lightweighting of commercial vehicles produced in China remains comparably low. This means that great potential for development of lightweight commercial vehicles in China exists and it will be an efficient path towards fuel-saving and emission-reduction.

A research into the application of the production capacity of passenger and light commercial vehicles in China

1. An overall judgment on the situation 2006 saw the rapid growth of passenger vehicles, with the production capacity putting into use rose from less than 70 percent to around 80 percent. That with light commercial vehicles was similar too. The situation in 2005 and 2006 showed that there are no evidential overdone production capacity.

Stochastic model predictive braking control for heavy-duty commercial vehicles during uncertain brake pressure and road profile conditions

When heavy-duty commercial vehicles(HDCVs)must engage in emergency braking,uncertain conditions such as the brake pressure and road profile variations will inevitably affect braking control.To minimize these uncertainties,we propose a combined longitudinal and lateral controller method based on stochastic model predictive control(SMPC)that is achieved via Chebyshev–Cantelli inequality.In our method,SMPC calculates braking control inputs based on a finite time prediction that is achieved by solving stochastic programming elements,including chance constraints.To accomplish this,SMPC explicitly describes the probabilistic uncertainties to be used when designing a robust control strategy.The main contribution of this paper is the proposal of a braking control formulation that is robust against probabilistic friction circle uncertainty effects.More specifically,the use of Chebyshev–Cantelli inequality suppresses road profile influences,which have characteristics that are different from the Gaussian distribution,thereby improving both braking robustness and control performance against statistical disturbances.Additionally,since the Kalman filtering(KF)algorithm is used to obtain the expectation and covariance used for calculating deterministic transformed chance constraints,the SMPC is reformulated as a KF embedded deterministic MPC.Herein,the effectiveness of our proposed method is verified via a MATLAB/Simulink and TruckSim co-simulation.

Application potential of high performance steels for weight reduction and efficiency increase in commercial vehicles

The fast-growing economy and the gradually established highway system have boosted the road trans- portation for both passenger and cargo over the last decade in China. From 2000 to 2010 Chinese GDP increased by around 10.15% annually and the sales of medium and heavy trucks by around 18.87% （sales increased from 0.2 million in 2000 to 1.3 million in 2010） according to the National Bureau of Statistics of People＇s Republic of China. Today commercial vehicles consume almost the same amount of fuel as pas- senger cars in China although the number of commercial vehicles is only about one fourth of passenger cars. It is estimated that around 50% of imported fuel to China each year will be consumed by vehicle transportation. This si- tuation will worsen fuel shortage problems in the long run and at the same time it is partially responsible for the ever- worsening air pollution in China. Due to the widespread overloading in China, lightweight development in commer- cial vehicles has fallen far behind that of passenger cars with the consequences that Chinese commercial vehicles consume in average about 20% more fuel, especially the heavy trucks, compared to European models. Under these circumstances it is essential to reduce the vehicle fuel consumption and in- crease the transport efficiency. The key solution thereby is to implement lightweight design in commercial vehicles as it has been successfully practiced over the last decade in the passenger cars. This paper summarizes highlights given in presentations during the ＂International seminar on the ap- plication of high strength steels in light weight commercial vehicles＂ with the focus on the development and application of Nb alloyed high performance steels made for lightweight commercial vehicles.

Application of Connected Truck Data to Evaluate Spatiotemporal Impact of Rest Area Closures on Ramp Parking

Ensuring adequate access to truck parking is critical to the safe and efficient movement of freight traffic. There are strict federal guidelines for commercial truck driver rest periods. Rest areas and private truck stops are the only places for the trucks to stop legally and safely. In locations without sufficient parking areas, trucks often park on interstate ramps, which create safety risks for other interstate motorists. Historically, agencies have employed costly and time intensive manual counting methods, camera surveillance, and driver surveys to assess truck parking. Connected truck data, available in near real-time, offers an efficient alternative to practitioners to assess truck parking patterns and identify areas where there may be insufficient safe parking spaces. This paper presents a case study of interstate I-70 in east central Indiana and documents the observed spatiotemporal impacts of a rest area closure on truck parking on nearby interstate ramps. Results showed that there was a 28% increase in parking on ramps during the rest area closure. Analysis also found that ramps closest to the rest area were most impacted by the closure, seeing a rise in truck parking sessions as high as 2.7 times. Parking duration on the ramps during rest area closure also increased drastically. Although it was expected that this would result in increased parking by trucks on adjacent ramps, this before, during, after scenario provided an ideal scenario to evaluate the robustness of these techniques to assess changing parking characteristics of long-haul commercial trucks. The data analytics and visualization tools presented in this study are scalable nationwide and will aid stakeholders in informed data-driven decision making when allocating resources towards improving the nations commercial vehicle parking infrastructure.

FOTON Continues to hold its Championship as Global Largest Commercial Vehicle Manufacturer

Latest data from the China Association of Automobile Manufacturers(CAAM) shows that through 2010.China’s automobile sales surpassed 18 million, breaking the world record of annual auto sales previously held by the United States.Now that China has become a major global auto production player, how is Foton faring? CAAM statistics said production and sales volume of

Safety Evaluation of Commercial Vehicle Driving Behavior Using the AHP–CRITIC Algorithm

To prevent and reduce road traffic accidents and improve driver safety awareness and bad driving be-haviors,we propose a safety evaluation method for commercial vehicle driving behavior.Three driving style clas-sification indexes were extracted using driving data from commercial vehicles and four primary and ten secondary safety evaluation indicators.Based on the stability of commercial vehicles transporting goods,the acceleration index is divided into three levels according to the statistical third quartile,and the evaluation expression of the safety index evaluation is established.Drivers were divided into conservative,moderate,and radical using K-means++.The weights corresponding to each index were calculated using a combination of the analytic hierarchy process(AHP)and criteria importance through intercriteria correlation(CRITIC),and the driving behavior scores of various drivers were calculated according to the safety index score standard.The established AHP-CRITIC safety evaluation model was verified using the actual driving behavior data of commercial vehicle drivers.The calculation results show that the proposed evaluation model can clearly distinguish between the types of drivers with different driving styles,verifying its rationality and validity.The evaluation results can provide a reference for transportation management departments and enterprises.

基于卡片模型的系统工程在捷龙一号的应用研究

Rapid development of Chinese commercial launch vehicles brings new challenges under the traditional systems engineering(TSE)working method.A new model-based systems engineering(MBSE)working method was proposed for Smart Dragon 1(SD-1),which is a low-cost commercial launch vehicle developed by the China Academy of Launch Vehicle Technology(CALT).Based on the characteristics of a commercial launch vehicle,the system model based on information cards was established.Through a problem-oriented working method,risk identification and management,the process of Card-MBSE was utilized and verified by the success of the maiden flight of SD-1.This paper introduces a new method and reference for the development of low-cost and high-reliability launch vehicles.

Modeling commercial vehicle drivers’ acceptance of advanced driving assistance system (ADAS)

Purpose–Advanced driving assistance system(ADAS)has been applied in commercial vehicles.This paper aims to evaluate the influence factors of commercial vehicle drivers’acceptance on ADAS and explore the characteristics of each key factors.Two most widely used functions,forward collision warning(FCW)and lane departure warning(LDW),were considered in this paper.Design/methodology/approach–A random forests algorithm was applied to evaluate the influence factors of commercial drivers’acceptance.ADAS data of 24 commercial vehicles were recorded from 1 November to 21 December 2018,in Jiangsu province.Respond or not was set as dependent variables,while six influence factors were considered.Findings–The acceptance rate for FCW and LDW systems was 69.52%and 38.76%,respectively.The accuracy of random forests model for FCW and LDW systems is 0.816 and 0.820,respectively.For FCW system,vehicle speed,duration time and warning hour are three key factors.Drivers prefer to respond in a short duration during daytime and low vehicle speed.While for LDW system,duration time,vehicle speed and driver age are three key factors.Older drivers have higher respond probability under higher vehicle speed,and the respond time is longer than FCW system.Originality/value–Few research studies have focused on the attitudes of commercial vehicle drivers,though commercial vehicle accidents were proved to be more severe than passenger vehicles.The results of this study can help researchers to better understand the behavior of commercial vehicle drivers and make corresponding recommendations for ADAS of commercial vehicles.

Commercial vehicle export in 2009:to dance while shackled?

For export salesmen of commercial vehicle manufacturers,the second half of 2008 was certainly not the best time. Mr Wang is working at a bus company which exports buses to Russia.From the second half of 2008,he found that partial clients began cancelling their orders and there were increasing such cases.

A prediction on each segmented commercial vehicle market in 2007

Heavy truck The market trend has recovered since May 2006 and it reported a year on year growth of 30.55 percent by the end of Dec. The result was partly due to the heavy fall in the second half of 2005.