Shaanxi Automobile Group Co.

Fengcheng, China

Shaanxi Automobile Group Co.

Fengcheng, China
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China's blood product market size mushroomed in 2016 under the impetus of liberalization of limited-price policy, price rises in varying degrees and lot release volume growth for blood products in 2015, estimated to reach RMB23.8 billion throughout the year, up 16.7% from 2015. China's blood product industry will develop at full speed boosted by downstream demand, accompanied by a steady rise in the number of plasma stations and consolidated profit margin improvement of plasma. The market size is expected to hit RMB47.5 billion in 2021. Main features of blood product industry in China 2016 are shown as below: 1. As plasma supply increases, supply-demand balance can be seen in 2025 China's plasma collection volume has been increasing over recent years driven by blood product price deregulation and accelerated establishment of new plasma stations. In 2016, 6,964 tons of plasma was collected in China, up 19.8% year on year. Despite continuous growth, plasma collection volume still cannot meet the ever-increasing market demand. In the future, China will see plasma collection volume shooting up propelled by a growing number of plasma collection stations and is expected to achieve balance between plasma supply and demand in 2025. 2. A steady increase in lot release volume of main products So far, Chinese blood products are still dominated by human albumin and human immunoglobulin for intravenous injection, which take an over 70% blood product market share. In 2016, human albumin and human immunoglobulin (pH4) for intravenous injection registered respective lot release volumes of 39.31 million bottles (10g/bottle) and 10.89 million bottles (2.5g/bottle), up 17.8% and 27.4% respectively year on year. In addition, lot release volumes of domestic blood products in short supply such as blood coagulation factor VIII, human immunoglobulin and human prothrombin complex also witnessed substantial growth in 2016, respectively 38.0%, 143.8% and 20%. 3. R&D efforts intensified for new products; comprehensive utilization of plasma to be raised At present, Chinese blood product enterprises can separate a maximum of 11 varieties of blood products from the plasma, 3-4 varieties for general firms, indicating an extremely low rate of comprehensive utilization of plasmas. To solve the problem, Chinese blood product enterprises are accelerating the development of new products, hoping to improve comprehensive utilization of plasma. Blood coagulation factor VIII, for example, Guizhou Taibang Biological Products Co., Ltd., Jiangxi Boya Bio-Pharmaceutical Co., Ltd., Beijing Tiantan Biological Products Co., Ltd., Zhenxing Biopharmaceutical & Chemical Co., Ltd., Wuhan Zhongyuan Ruide Biological Products Co., Ltd. etc. are actively conducting clinical trials of blood coagulation factor VIII and expected to achieve mass production in next two years. 4 Plasma-oriented pattern continues Blood product industry relies heavily on plasma materials - the number of plasma stations directly influences plasma collection volume, which then affects raw material supply of blood product enterprises. Therefore, the number of plasma stations and plasma collection volume determine corporate position in industry. There are over 30 blood product manufacturing enterprises in China, but only more than 20 are able to maintain normal production. Among them, Hualan Biological Engineering,Inc., Shanghai RAAS Blood Products Co., Ltd. and China Biologic Products, Inc. boast relatively high volume of plasma collection, altogether accounting for 39.6% of total plasma collections in 2016. The report highlights the following: - Analysis on development of China blood product industry, including status quo, policy environment, market supply & demand, market size, market structure and competition pattern; - Analysis on 8 market segments of China blood product industry, including development status, competition pattern and trends; - Analysis on 13 major enterprises, including operation, blood product business, etc.; - Summary & forecast and trends. - The Chinese Version of this Report is Available on Request. 1 Overview of Truck Industry 1.1 Definition and Classification 1.2 Introduction of Technologies 1.3 Latest Policies during 2016-2017 1.3.1 Enforcement of National V Emission Standards 1.3.2 GB1589 Standards and "921 New Reform" 1.3.3 Ban on Low-Speed Trucks 1.3.4 Compulsory Installation of ABS Device for Trucks 1.3.5 Yellow Label' Vehicle Elimination Continues 1.4 Self-driving and Connected Truck 1.4.1 Truck Self-driving 1.4.2 Truck Telematics 2 Truck Market as a Whole 2.1 Ownership 2.2 Production and Sales 2.2.1 Production 2.2.2 Sales 2.3 Market Structure 2.4 Import & Export 2.5 Competitive Pattern 3 Truck Market Segments 3.1 Heavy Truck 3.1.1 Production and Sales 3.1.2 Competitive Landscape 3.1.3 Natural Gas Heavy Truck 3.1.4 High-end Heavy Truck 3.2 Medium Truck 3.2.1 Production and Sales 3.2.2 Competitive Landscape 3.3 Light Truck 3.3.1 Production and Sales 3.3.2 Competitive Landscape 3.4 Mini Truck 3.4.1 Production and Sales 3.4.2 Competitive Landscape 5 Key Companies 5.1 FAW Jiefang Automotive Co., Ltd. 5.1.1 Profile 5.1.2 Production and Sales 5.1.3 Launch of New Products 5.1.4 Manufacturing Bases 5.1.5 Developments 5.2 China National Heavy Duty Truck Group Co., Ltd. (SINOTRUK) 5.2.1 Profile 5.2.2 Operation 5.2.3 Production and Sales 5.2.4 Heavy-duty Truck Business 5.3 Dongfeng Motor Corporation 5.3.1 Profile 5.3.2 Operation 5.3.3 Truck Business 5.3.4 Capacity Distribution 5.3.5 Developments 5.4 Beiqi Foton Motor Co., Ltd. 5.4.1 Profile 5.4.2 Operation 5.4.3 Heavy-duty Truck Business 5.4.4 Production Capacity 5.4.5 Progress in Launch of New Products 5.5 Shaanxi Automobile Group Co., Ltd. 5.5.1 Profile 5.5.2 Major Products 5.5.3 Heavy-duty Truck Business 5.5.4 Developments 5.6 Anhui Jianghuai Automobile Group Corp.,Ltd. 5.6.1 Profile 5.6.2 Operation 5.6.3 Production and Sales 5.6.4 Capacity Distribution 5.6.5 Developments 5.7 Hualing Xingma Automobile (Group) Co., Ltd. 5.7.1 Profile 5.7.2 Operation 5.7.3 Truck Business 5.7.4 Production and Sales 5.8 QingLing Motors (Group) Co., Ltd. 5.8.1 Profile 5.8.2 Operation 5.8.3 Truck Business 5.9 Jiangling Motors Co., Group 5.9.1 Profile 5.9.2 Jiangling Holdings Limited 5.9.3 Production and Sales 5.9.4 Capacity Distribution 5.9.5 Developments 5.10 SAIC GM Wuling (SGMW) 5.10.1 Profile 5.10.2 Key Business 5.10.3 Production and Sales 5.10.4 Manufacturing Bases 5.11 SAIC-IVECO Hongyan 5.11.1 Profile 5.11.2 Heavy-duty Truck Business 5.11.3 Sales Goal for 2017 5.12 Hubei Tri-Ring Special Vehicle Co., Ltd. 5.12.1 Profile 5.12.2 Truck Business 5.12.3 Production and Sales 5.12.4 Developments 5.13 XCMG Automobile 5.13.1 Profile 5.13.2 Heavy-duty Truck Business 5.13.3 Capacity Distribution 5.14 GAC HINO Motors Co., Ltd. 5.14.1 Profile 5.14.2 Operation 5.14.3 Heavy-duty Truck Business 5.14.4 Production Capacity 5.15 Zhejiang Feidie Automobile Manufacturing Co., Ltd. 5.15.1 Profile 5.15.2 Truck Business 5.16 Baotou Bei Ben Heavy-Duty Truck Co., Ltd. 5.16.1 Profile 5.16.2 Heavy-duty Truck Business 5.17 Shanxi Dayun Automobile Manufacturing Co., Ltd 5.17.1 Profile 5.17.2 Truck Business List of Charts - Classification of Truck (Freight Vehicle) - Applications of Truck - Technology Introduction of Key Heavy Truck Manufacturers in China - Schedule for Implementation of China's Motor Vehicle National V Emission Standards - Comparison of China's National IV and V Emission Standards - Standards for Identifying Oversize and Overload of Highway Freight Vehicles (in 6-axle case) - Policies and Regulations on Commercial Vehicle Telematics - Survey on Truck Telematics at Home and Abroad - China's Truck Ownership, 2010-2021E - China's Truck Output, 2010-2021E - China's Truck Sales, 2010-2021E - China's Truck Output and Growth Rate by Product, 2016-2017 - China's Truck Sales and Growth Rate by Product, 2016-2017 - China's Monthly Truck Exports, 2016 - China's Monthly Truck Imports, 2016 - Sales Volume and Market Share of Top10 Truck Manufacturers in China, 2016-2017 - China's Complete Heavy Truck Output and Sales Volume, 2010-2021E - China's Incomplete Heavy Truck Output and Sales Volume, 2010-2021E - China's Semi-trailer Towing Vehicle Output and Sales Volume, 2010-2021E - Sales Volume and Market Share of Top10 Complete Heavy Truck Manufacturers in China, 2016-2017 - Sales Volume and Market Share of Top10 Incomplete Heavy Truck Enterprises in China, 2016-2017 - Sales Volume and Market Share of Top10 Semi-trailer Towing Vehicle Manufacturers in China, 2016-2017 - Sales Volume of Natural Gas Heavy Trucks in China, 2014-2021E - Major Natural Gas Heavy Truck Manufacturers in China - High-end Heavy Trucks Launched by Enterprises in China - China's Complete Medium Truck Output and Sales Volume, 2010-2021E - China's Incomplete Medium Truck Output and Sales Volume, 2010-2021E - Sales Volume and Market Share of Top10 Complete Medium Truck Manufacturers in China, 2016-2017 - Sales Volume and Market Share of Top10 Incomplete Medium Truck Manufacturers in China, 2016-2017 - China's Complete Light Truck Output and Sales Volume, 2010-2021E - China's Incomplete Light Truck Output and Sales Volume, 2010-2021E - Sales Volume and Market Share of Top10 Complete Light Truck Manufacturers in China, 2016-2017 - Sales Volume and Market Share of Top10 Incomplete Light Truck Manufacturers in China, 2016-2017 - China's Complete Mini Truck Output and Sales Volume, 2010-2021E - China's Incomplete Mini Truck Output and Sales Volume, 2010-2021E - Sales Volume and Market Share of Top10 Complete Mini Truck Manufacturers in China, 2016-2017 - Automotive Industry Chain - Cost Structure of Truck Industry - Transmission Supply of Major Heavy Truck Manufacturers in China - China's Galvanized Sheet (Strip) Output and Sales Volume, 2010-2017 - China's (Shanghai) Galvanized Coil Price, 2014-2017 - China's Cold-rolled Thin Sheet Output and Sales Volume, 2010-2017 - China's (Shanghai, Tianjin, Guangzhou) Cold-rolled Coil Price, 2016-2017 - China's Natural Rubber Spot and Future Price, 2012-2017 - China's Investment in Fixed Assets, 2010-2017 - China's Investment in Real Estate Development, 2010-2017 - China's New Housing Start Area and Sales Area, 2005-2017 - China's Highway Freight Volume and Turnover, 2005-2017 - FAW Jiefang Automotive's Heavy Truck Output and Sales Volume, 2010-2017 - FAW Jiefang Automotive's Medium Truck Output and Sales Volume, 2010-2017 - FAW Jiefang Automotive's Light Truck Output and Sales Volume, 2010-2017 - FAW Jiefang Automotive's Mini Truck Output and Sales Volume, 2010-2017 - Main Natural Gas Trucks of FAW Jiefang Automotive - Main Truck Production Bases of FAW Group - Sinotruk's Revenue and Net Income, 2010-2016 - Sinotruk's Gross Margin, 2010-2016 - Sinotruk's Revenue Structure by Business, 2016 - Sinotruk's Heavy Truck Output and Sales Volume, 2010-2017 - Sinotruk's Medium Truck Output and Sales Volume, 2010-2017 - Sinotruk's Light Truck Output and Sales Volume, 2010-2017 - Sinotruk's Heavy Truck Product Family Genealogy - Sinotruk's Main Product Configuration - Dongfeng Motor's Revenue and Net Income, 2011-2016 - Dongfeng Motor's Gross Profit and Gross Margin, 2011-2016 - Dongfeng Motor's Revenue Breakdown by Business, 2015-2016 - Dongfeng Motor's Heavy Truck Output and Sales Volume, 2010-2017 - Dongfeng Motor's Medium Truck Output and Sales Volume, 2010-2017 - Dongfeng Motor's Light Truck Output and Sales Volume, 2010-2017 - Dongfeng Motor's Mini Truck Output and Sales Volume, 2010-2017 - Truck Capacity Distribution of Dongfeng Motor - Beiqi Foton Motor's Revenue and Net Income, 2010-2016 - Beiqi Foton Motor's Gross Margin, 2010-2016 - Beiqi Foton Motor's Revenue Breakdown and Gross Margin by Business, 2014-2016 - Heavy Truck Output and Sales Volume of BAIC Group (Beiqi Foton Motor), 2010-2017 - Medium Truck Output and Sales Volume of BAIC Group (Beiqi Foton Motor), 2010-2017 - BAIC Group's Light Truck Output and Sales Volume, 2010-2017 - BAIC Group's Mini Truck Output and Sales Volume, 2010-2017 - Truck Capacity Distribution of Beiqi Foton Motor - Capacity of Beijing Foton Daimler, 2016 - Main Heavy Trucks of Shaanxi Automobile Group - Shaanxi Automobile Group's Heavy Truck Output and Sales Volume, 2010-2017 - Shaanxi Automobile Group's Medium Truck Output and Sales Volume, 2010-2017 - Shaanxi Automobile Group's Light Truck Output and Sales Volume, 2010-2017 - JAC's Revenue and Net Income, 2010-2016 - JAC's Gross Margin, 2010-2016 - JAC's Revenue Structure and Gross Margin by Product, 2016 - JAC's Heavy Truck Output and Sales Volume, 2010-2017 - JAC's Medium Truck Output and Sales Volume, 2010-2017 - JAC's Light Truck Output and Sales Volume, 2010-2017 - Truck Capacity Distribution of JAC, 2016 - Hualing Xingma Automobile's Assets and Net Income, 2012-2016 - Hualing Xingma Automobile's Products Series - Hualing Xingma Automobile's Truck Output and Sales Volume, 2015-2016 - Hualing Xingma Automobile's Truck Sales at Home and Abroad, 2015-2016 - Qingling Motors' Revenue and Net Income, 2010-2016 - Qingling Motors' Gross Margin, 2010-2016 - Qingling Motors' Revenue Breakdown by Product, 2015-2016 - Qingling Motors' Heavy Truck Output and Sales Volume, 2010-2017 - Qingling Motors' Medium Truck Output and Sales Volume, 2010-2017 - Qingling Motors' Light Truck Output and Sales Volume, 2010-2017 - Jiangling Motors' Revenue and Net Income, 2010-2016 - Jiangling Motors' Gross Margin, 2010-2016 - Jiangling Motors' Revenue Structure by Product, 2015-2016 - Jiangling Motors' Light Truck Output and Sales Volume, 2010-2017 - Truck Capacity Distribution of Jiangling Motors, 2016 - Development History of SAIC GM Wuling - Main Trucks (Mini Trucks) of SAIC GM Wuling - SAIC GM Wuling's Mini Truck Output and Sales Volume, 2010-2017 - Distribution of SAIC GM Wuling's Production Bases - SAIC-IVECO Hongyan's Heavy Truck Output and Sales Volume, 2010-2017 - SAIC-IVECO Hongyan's Sales Target, 2017 - Main Heavy Trucks of Hubei Tri-Ring Special Vehicle - Hubei Tri-Ring Special Vehicle's Heavy Truck Output and Sales Volume, 2010-2017 - Hubei Tri-Ring Special Vehicle's Medium Truck Output and Sales Volume, 2010-2017 - Hubei Tri-Ring Special Vehicle's Light Truck Output and Sales Volume, 2010-2017 - XCMG Automobile's Heavy Truck Output and Sales Volume, 2010-2017 - Truck Capacity Distribution of XCMG Automobile, 2016 - GAC Hino Motors' Assets, Liabilities, and Revenue, 2012-2016 - GAC Hino Motors' Heavy Truck Output and Sales Volume, 2010-2017 - GAC Hino Motors' Capacity, 2016 - Zhejiang Feidie Automobile Manufacturing's Heavy Truck Output and Sales Volume, 2010-2017 - Zhejiang Feidie Automobile Manufacturing's Medium Truck Output and Sales Volume, 2010-2017 - Zhejiang Feidie Automobile Manufacturing's Light Truck Output and Sales Volume, 2010-2017 - Baotou Bei Ben Heavy-Duty Truck's Truck Output and Sales Volume, 2010-2017 - Shanxi Dayun Automobile Manufacturing's Heavy Truck Output and Sales Volume, 2010-2017 - Shanxi Dayun Automobile Manufacturing's Medium Truck Output and Sales Volume, 2010-2017 - Shanxi Dayun Automobile Manufacturing's Light Truck Output and Sales Volume, 2010-2017 - Truck Sales Growth in China, 2011-2021E - China's Truck Market Structure, 2010-2021E - Market Share of Top10 Truck Manufacturers in China, 2016 - Beijing Tiantan Biological Products Co., Ltd. (TIANTANBIO) - China Biologic Products, Inc. (NASDAQ: CBPO) - Green Cross China - Guizhou Taibang Biological Products Co., Ltd. - Hualan Biological Engineering,Inc. - Humanwell Healthcare Group Co., Ltd. - Jiangxi Boya Bio-Pharmaceutical Co., Ltd. - Shandong Taibang Biological Products Co., Ltd. - Shanghai Institute of Biological Products Co., Ltd. - Shanghai RAAS Blood Products Co., Ltd. - Shanxi Kangbao Biological Product Co., Ltd. - Shenzhen Weiguang Biological Products Co., Ltd. - Sichuan Yuanda Shuyang Pharmaceutical Co., Ltd. - Walvax Biotechnology Co, Ltd. - Xi'an Huitian Blood Products Co., Ltd. - Zhenxing Biopharmaceutical & Chemical Co., Ltd. For more information about this report visit http://www.researchandmarkets.com/research/2dng4t/china_blood Research and Markets is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/china-blood-product-industry-report-2017-product-market-size-expected-to-hit-rmb475-billion-in-2021---research-and-markets-300459175.html


The truck industry in China has found a stable competitive landscape with corporate champions enjoying clear long-term competitive edges. Top5 manufacturers sold 46.01% of total trucks in domestic market and top10 ones 67.56% in 2016. As the light truck holds the lion's share of truck production and sales, light truck manufacturers have overwhelming advantages over others among top 10 truck producers. Truck can be divided into heavy truck, medium truck, light truck, and mini truck by load capacity. Ever-growing logistics industry has created bigger demand for light trucks in recent years with the products always ranking first by output among product segments. In 2016, the sales of light truck amounted to 1,549,379 units, 49.27% of total truck sales, followed by heavy truck (23.41%) and mini truck (19.98%). China Truck Industry Report, 2017-2021 focuses on the following: - Overview of truck industry in China (definition, classification, sources of technology, latest policies, orientation of development, etc.); - Status Quo of truck industry in China (ownership, output & sales, market structure, import & export, competitive landscape, etc.); - Overview of the Chinese truck market segments (output & sales, competitive landscape, etc. of heavy truck, medium truck, light truck, and mini truck, etc.); - Truck industry chain in China (raw material markets, application markets, etc.); - 17 truck manufacturers including FAW Group, Dongfeng Motor, Sinotruk, Beiqi Foton Motor, and Jiangling Motors Co., Group (profile, financial position, production & sales, main products, distribution of production bases, latest developments, etc.). 1 Overview of Truck Industry 2 Truck Market as a Whole 3 Truck Market Segments 4 Truck Industry Chain 5 Key Companies 6 Summary and Forecast - Anhui Jianghuai Automobile Group Corp.,Ltd. - Baotou Bei Ben Heavy-Duty Truck Co., Ltd. - Beiqi Foton Motor Co., Ltd. - China National Heavy Duty Truck Group Co., Ltd. (SINOTRUK) - Dongfeng Motor Corporation - FAW Jiefang Automotive Co., Ltd. - GAC HINO Motors Co., Ltd. - Hualing Xingma Automobile (Group) Co., Ltd. - Hubei Tri-Ring Special Vehicle Co., Ltd. - Jiangling Motors Co., Group - QingLing Motors (Group) Co., Ltd. - SAIC GM Wuling (SGMW) - SAIC-IVECO Hongyan - Shaanxi Automobile Group Co., Ltd. - Shanxi Dayun Automobile Manufacturing Co., Ltd - XCMG Automobile - Zhejiang Feidie Automobile Manufacturing Co., Ltd. For more information about this report visit http://www.researchandmarkets.com/research/82fw37/china_truck To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/research-and-markets---china-truck-industry-report-2017-2021-17-truck-manufacturers-including-faw-group-dongfeng-motor-sinotruk-beiqi-foton-motor-and-jiangling-motors-co-300458187.html


Li S.G.,Shaanxi Automobile Group Co. | Sharkh S.M.,University of Southampton | Sharkh S.M.,HiT Systems Ltd. | Walsh F.C.,University of Southampton | Zhang C.N.,Beijing Institute of Technology
IEEE Transactions on Vehicular Technology | Year: 2011

Fuzzy logic is used to define a new quantity called the battery working state (BWS), which is based on both battery terminal voltage and state of charge (SOC), to overcome the problem of battery over-discharge and associated damage resulting from inaccurate estimates of the SOC. The BWS is used by a fuzzy logic energy-management system of a plug-in series hybrid electric vehicle (HEV) to make a decision on the power split between the battery and the engine, based on the BWS and vehicle power demand, while controlling the engine to work in its fuel economic region. The fuzzy logic management system was tested in real time using an HEV simulation test bench with a real battery in the loop. Simulation results are presented to demonstrate the performance of the proposed fuzzy logic energy-management system under different driving conditions and battery SOCs. The results indicate that the fuzzy logic energy-management system using the BWS was effective in ensuring that the engine operates in the vicinity of its maximum fuel efficiency region while preventing the battery from over-discharging. © 2011 IEEE.


Li S.-G.,Beijing Institute of Technology | Li S.-G.,Shaanxi Automobile Group Co. | Zhang C.-N.,Beijing Institute of Technology
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | Year: 2012

Evaluation of the state of charge (SOC) is a key technology for electric vehicle battery management. This work develops a method to establish the relationship among Coulomb efficiency, SOC and charge/discharge current (I). The curve of SOC to I (SOC-I) is provided that could supply a reasonable Coulomb efficiency during prediction. Moreover, the algorithm of adaptive unscented Kalman filtering (AUKF) is used for battery SOC evaluation. A new SOC-I-AUKF algorithm combined the AUKF algorithm with SOC-I curve is developed. During the process of SOC prediction, the new algorithm could adjust the Coulomb efficiency, process noise covariance and measurement noise covariance to reach the optimal evaluation. Experiment results indicate that the SOC-I-AUKF algorithm has better performance than UKF algorithm in prediction of absolute error, relative error and average error.


Song Y.-Q.,China University of Mining and Technology | Deng C.,Shaanxi Automobile Group Co.
Zhongguo Gonglu Xuebao/China Journal of Highway and Transport | Year: 2012

In order to study the safety of semi-rigid guard rail of transition section collided by vehicle at high speed on expressway and to enhance absorbing auto kinetic energy and rigid protection capability of guard rail of transition section, through a large number of investigations on the basis of collision accident, the flaw of current guard rail of transition section in China was analyzed. A new type of guard rail of transition section which had enough rigidity to resist the enormous energy produced by the collision between heavy vehicle and guard rail of transition section was designed. It played a better unloading result. Finite element software LS-DYNA was used to do numerical simulation about collision between vehicle and guard rail of transition section by high speed. Results show that the new type of guard rail of transition section can effectively increase safety factor of automobile and crew. Its design dimension is reasonable and realizes the effect of rigidity transition.


Chen T.,Chang'an University | Feng H.,Chang'an University | Zhang M.,Shaanxi Automobile Group Co.
ICIC Express Letters, Part B: Applications | Year: 2016

To study the tire’s friction characteristics of the LuGre model, an identification method of the tire’s parameters is put forward to obtain the static and dynamic parameters. According to the identified static parameters, a relationship curve between the adhesion coefficient and the slip ratio is plotted, which indicates that the simulation result agrees well with measured results of experiment. In addition, the sensitivity of static parameters μc, μs and σ2 to different experimental variables, including the normal force Fn, sideslip angle γ and slip ratio s is analyzed. Experimental results show that the static parameters are sensitive to different experimental conditions. © 2016 ICIC International.


Pang H.,Shaanxi Automobile Group Co. | Pang H.,Northwestern Polytechnical University | Li H.,Shaanxi Automobile Group Co. | Fang Z.,Northwestern Polytechnical University | Wang J.,Northwestern Polytechnical University
Applied Mechanics and Materials | Year: 2011

In order to reasonably match suspension stiffness and realize the optimization of vehicle ride comfort, a time-domain virtual prototyping model of the 8×4 heavy vehicle is established based on dynamic software ADAMS, and its vertical vibration responses are simulated and analyzed on road level B. After that, an optimal design method for heavy vehicle's suspension system is put forward. In this proposed method, the first, the second axle suspension stiffness and the balance suspension stiffness are taken as the optimal variables and the maximum values of Z-direction power spectral density (PSD) of the cab and cargo boxes mass center are chosen as the optimal target. By using SQP (Sequential Quadratic Programming) algorithms to conduct optimizing calculation, thus the optimal suspension stiffness parameters are obtained, which promotes and improves the heavy vehicle's ride comfort. © (2011) Trans Tech Publications.


Pang H.,Shaanxi Automobile Group Co. | Pang H.,Northwestern Polytechnical University | Fang Z.-D.,Northwestern Polytechnical University | Li H.-Y.,Shaanxi Automobile Group Co. | Yang X.-H.,Northwestern Polytechnical University
Procedia Engineering | Year: 2011

In order to visualize time information of the complex workflow system, time parameter concept is firstly introduced to workflow model, and then a new modeling and time parameters calculating method for the practical business process system are proposed based on timing constraint Petri Nets(TCPN). Finally, an insurance claim process is modeled based on TCPN workflow model, which suggests that it is effective and consistent with the specification of the system requirement. © 2011 Published by Elsevier Ltd.


Song Q.,Shaanxi Automobile Group Co. | Song Q.,Chang'an University | Liu X.,Shaanxi Automobile Group Co. | Zhao X.,Chang'an University
International Journal of Advancements in Computing Technology | Year: 2012

In order to model time-varying dynamical systems with more accuracy, and to further exploit the potential capacities of recurrent neural networks, we propose a novel recursive least square (RLS) algorithm based on echo state network (ESN), and note it as RLSESN in this paper. ESN is a new paradigm for using recurrent neural networks (RNN) with a simpler training method. RLSESN consists of three main components: an ESN, a recursive least square (RLS) algorithm with adaptive forgetting factor and a change detection module. At first, the change detection module modifies the forgetting factor online according to ESN output errors. And then, the RLS algorithm regulates the ESN output connection weights. The simulation experiment results show that the proposed ESN-based filters can model nonlinear time-varying dynamical systems very well; the modeling performances are significantly better than those autoregressive moving average (ARMA) model based filters.


Song Q.,Shaanxi Automobile Group Co. | Song Q.,Chang'an University | Liu X.,Shaanxi Automobile Group Co. | Zhao X.,Chang'an University
International Journal of Digital Content Technology and its Applications | Year: 2012

An algorithm for short-term traffic flow and hourly electric load forecasting based on echo state neural networks (ESN) is proposed in this paper. ESN is a new paradigm for using recurrent neural networks (RNNs) with a simpler training method. While the prediction, traffic flows and load patterns are treated as time series signals; no further information is used than the past data records, such as weather, seasonal variations. The relation between key parameter of the ESN and the predicting performance is discussed; ESN and feedforward neural network (FNN) are compared with the same tasks also. Simulation experiment results demonstrate that the proposed ESN algorithm is valid and can obtain more accurate predicting results than the FNNs for these short-term traffic flow and hourly electric load prediction problems.

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