Society of Automotive Engineers of China

Beijing, China

Society of Automotive Engineers of China

Beijing, China

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Lu H.,East China University of Science and Technology | Lu H.,CITIC Metal Co. | Wang Z.,Society of Automotive Engineers of China | Mingtu M.,China Automotive Engineering Research Institute | And 2 more authors.
Lecture Notes in Electrical Engineering | Year: 2013

Based on the multi-objective optimization and design of automotive body, the evaluation method of automotive lightweight is studied. An innovative evaluation method and the automotive lightweight comprehensive evaluation index E are presented, which is expressed by following formula E = m body/Ct × A × [ENCAP] × F [kg/Nm/ o × m2 × Hz × 104], and the weight of car body is associated with the model, stiffness of car body and safety of cars by this formula. The relationship between automotive lightweight and correlative functions is discussed. The evaluation method is confirmed by applying the data of 14 typical passenger cars. The relationship between evaluation index E and relational parameters are discussed, and some comparison and analysis are carried out, the sensitivity of E value for varying of relational parameters values is demonstrated, and the sensitivity is acceptable. And according to the E value, the lightweight level of a car can be defined, which is from 1 to 5 stars. A requirement of integrated fuel consumption for lightweight star level based on car mass is presented to be as a modifier to modify the final star-rating results of a car. This evaluation regulation considers the modal, stiffness, and sizes of car body, and safety of cars, and fuel consumption which are associated with weight of car body and car mass. A conclusion is attained that the evaluation method of lightweight presented by this paper is feasible, however, the details of evaluation regulation of automotive lightweight will be studied further, and an official new car evaluation regulation of automotive lightweight will be presented. According to the evaluation results and stars rating, customers can choose to buy a more lightweight and energy-saving car. And based on the stars rating, governments can also improve energy saving and emission reduction of automotive industry, by encouraging the car makers which produce the lightweight cars. © Springer-Verlag 2013.


Huang B.,Beihang University | Sun L.,Beihang University | Wang L.,Society of Automotive Engineers of China | Li T.,Society of Automotive Engineers of China
ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) | Year: 2015

Carbon fiber-reinforced polymers (CFRPs) are widely applied in lightweight automotive design due to their high specific stiffness and strength. However, it is difficult to achieve an ideal performance due to defects from manufacturing process. For example, fiber waviness and cluster are two typical manufacture defects in the process of Liquid Composite Molding (LCM). The effective elastic modulus of CFRPs with fiber waviness is studied by finite element method, and the stress-transfer mechanisms between the fibers and matrix is explained theoretically, the modified bridging model, which correlates the stress state in fibers with that in matrix. Additionally, the influence of fiber cluster on the effective elastic modulus of CFRPs is also investigated by finite element method. When the volume fraction of fibers in matrix is higher than 20%, the fiber waviness will decrease the longitudinal modulus E11 greatly, but also increase the transverse modulus E22 slightly. For CFRPs with cured fibers, the proposed modified bridging model has higher prediction accuracy than the rule of mixture. When the cluster degree is less than 1%, the effective elastic modulus of CFRPs with fibers distributed randomly will not be influenced obviously. For straight fibers, the reinforcement effect on elastic modulus 11 and shear modulus G12 decreases slightly with increasing cluster degree. Copyright © 2015 by ASME.


Ma B.,Tsinghua University | Ma B.,Beijing University of Technology | Liu Y.,Tsinghua University | Gao Y.,Tsinghua University | And 4 more authors.
International Journal of Advanced Manufacturing Technology | Year: 2016

Vehicle sideslip angle is one of the important indicators to determine whether vehicles are stable and is also a significant parameter for vehicle stability control. However, it is almost impossible to be measured directly without complex and expensive sensors or devices. Soft measurements are therefore generally adopted to estimate vehicle sideslip angle on the basis of easily observed physical quantities. This paper proposes an estimation method of sideslip angle based on steering torque instead of steering angle, for the fact that steering torque signal has more rapid and direct response compared with that obtained from steering angle. The frequency is analyzed between steering torque-sideslip angle and steering angle-sideslip angle transfer functions, and the extended Kalman filter (EKF) for vehicle sideslip angle based on steering torque is proposed. Both simulation results and vehicle tests prove the validity of our estimating method, indicating that the proposed method based on steering torque exhibits better accuracy and more rapid response in extreme region than the one based on steering angle. © 2016 Springer-Verlag London


Yin A.,Hefei University of Technology | Zhao H.,Hefei University of Technology | Zhou B.,Hefei University of Technology | Jiang H.,Hefei University of Technology | Lu R.,Society of Automotive Engineers of China
Qiche Gongcheng/Automotive Engineering | Year: 2014

In this paper, a driving cycle identification method is adopted, which combines principal component analysis with fuzzy clustering, to estimate the driving range of battery electric vehicle. Firstly twenty representative driving cycle data are selected and divided into 215 cycle segments, and 12 characteristic parameters are chosen to conduct principal component analysis, fuzzy C-means clustering and driving cycle identification. Then a model for battery electric vehicle is established with MATLAB/Simulink to perform driving cycle identification and the simulation estimations of vehicle energy consumption and driving range. Finally a real vehicle validation test is carried out on drum test bench with ECE15 cycle. The results show that compared with test data, the maximum absolute error of simulated estimates is 1.905km, and the corresponding average absolute error and relative error are 0.742km and less than 3% respectively. ©, 2014, Qiche Gongcheng/Automotive Engineering. All right reserved.


Wang L.-G.,Society of Automotive Engineers of China | Wang L.-G.,Auto Alliance | Zhang N.,Society of Automotive Engineers of China | Zhang N.,Auto Alliance
Advances in Manufacturing | Year: 2015

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 automobiles. 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. © 2015, The Author(s).


Zhang K.,Society of Automotive Engineers of China | Zhang N.,Society of Automotive Engineers of China
EVS 2010 - Sustainable Mobility Revolution: 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition | Year: 2010

In this paper, the life cycle of 4 different electric passenger vehicles and corresponding traditional passenger vehicles in China are described and compared. Chinese statistics data about industry, transportation and vehicle energy consumption are widely collected and used to calculate the total and segmental energy consumption and GHG emission. As a result, energy consumption and GHG emission decline of the remolded electric car from corresponding gasoline passenger car reach 41% and 23% separately. Energy consumption and GHG emission of electric vehicles can benefit from technical progress of traditional vehicles, and from development of renewable power and generating efficiency growth, but they can hardly benefit from vehicle miniaturization.


Yin A.,Hefei University of Technology | Yin A.,China Automotive Technology and Research Center | Zhao H.,Hefei University of Technology | Zhao H.,China Automotive Technology and Research Center | And 3 more authors.
Qiche Gongcheng/Automotive Engineering | Year: 2015

Based on hybrid system theory, the powertrain system of a hybrid electric vehicle (HEV) with rear wheel drive is analyzed, a control model for HEV powertrain system is built based on hybrid automaton model, and a mode-switch-based drive control strategy and a regenerative braking control strategy with braking force coordination control are proposed. Then a simulation model for HEV powertrain control strategy is set up with Simulink/Stateflow hybrid modeling method, and both performance simulation and road test on a real sample HEV are conducted. The results show that the performance of real sample HEV meets the design requirements with its fuel consumption 15.9% less than the traditional vehicle of same category under the typical urban driving cycles in China. © 2015, Society of Automotive Engineers of China. All right reserved.


Wang C.-Y.,Control Iron and Steel Research Institute, China | Wang C.-Y.,Taiyuan Iron and Steel Group Co. | Chang Y.,Dalian University of Technology | Yang J.,Society of Automotive Engineers of China | And 3 more authors.
Journal of Iron and Steel Research International | Year: 2016

Both microstructure and mechanical properties of low alloy steels treated by quenching and partitioning (Q&P) process were examined. The mixed microstructure of martensite and large-fractioned retained austenite (about 27.3 %) was characterized and analyzed, excellent combinations of total elongation of 19 % and tensile strength of 1835 MPa were obtained, and three-stage work hardening behavior was demonstrated during tensile test. The enhanced mechanical properties and work hardening behavior were explained based on the transformation-induced plasticity effect of large-fractioned austenite. © 2016 Central Iron and Steel Research Institute.


Yin A.,Hefei University of Technology | Chen W.,Hefei University of Technology | Zhao H.,Hefei University of Technology | Lu R.,Society of Automotive Engineers of China | Feng R.,Hefei University of Technology
Qiche Gongcheng/Automotive Engineering | Year: 2011

A simulation model for the power-train of a ISG HEV is established using CRUISE software. An optimization on the gear ratio parameters of power-train is performed by adopting fast elitist non-dominated sorting genetic algorithm (NSGA-II) with acceleration time and fuel consumption as objectives. The results show that after optimization the fuel consumption of vehicle with NEDC cycle reduces by 7.05% on the premise of meeting the design specifications of vehicle power performance.


News Article | December 21, 2016
Site: www.reuters.com

BEIJING (Reuters) - China will revisit in 2018 the standards for vehicle-to-vehicle communication that are vital for driverless cars and lay out a common national standard after that, the chief of the Society of Automotive Engineers of China (SAE-China) said on Wednesday.

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