Abstract
With the generous use of trucks, fuel consumption and security risks increase. In this paper, we developed an Omni-directional steering electric truck model to improve the driving safety and reduce fuel consumption. The electric truck model is driven by four in-wheel motors which run independently. Then the dynamic model of the traditional truck is analyzed. Combining road environment information and the truck driving condition, the adaptive cruise control (ACC) system controls the truck drives at a safe speed. Using the ACC technology in electric trucks results in the improvement of energy efficiency and safety of trucks at the same time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Shi, W.M.: World heavy duty vehicle market development forecast. Auto Ind. Res. 5, 14–20 (2001)
Gong, Y.N.: Heavy duty vehicle demand analysis and forecast. Automob. Parts 8, 40–44 (2016)
Yang, Z.S.: High-end light truck market and products. Automob. Parts 21, 42–45 (2014)
Ma, L.: Analysis on the market trend and competition pattern of medium and heavy truck in 2013 and the enterprise plan in 2014. China Auto Sci. Tech. 1, 44–51 (2014)
Jing, S.T.: Comparison and analysis of fuel consumption standards for light vehicles. Energy Environ. 2, 40–42 (2008)
Wang, W., Li, Y.F.: Fuel consumption limits for freight vehicles. Truck. Logist. 6, 50–52 (2007)
Yuan, X.: Latest accident research report: fatigue careless driving induces most truck accidents. Automob. Parts 8, 32–33 (2013)
He, Y.T., Wang, Y., Zhu, X.C.: analysis on heavy truck accidents based on in-depth investigation on road traffic. Agric. Equip. Veh. Eng. 8, 1672–3142 (2008)
Qin, G., Zou, J., Xu, H., Xin, X., Li, K.: Torque allocation strategy of 4WID in-wheel motor electric vehicle based on objective optimization. In: American Control Conference, pp. 2600–2605. IEEE (2014)
Xin, X., Zheng, H., Xu, H., Qin, G.: Control strategies for four in-wheel driven electric vehicles when motor drive systems fail. In: American Control Conference, pp. 885–890. IEEE (2014)
Wang, B., Huang, X., Wang, J., Guo, X., Zhu, X.: A robust wheel slip control design for in-wheel-motor-driven electric vehicles with hydraulic and regenerative braking systems. In: American Control Conference, pp. 3225–3230. IEEE (2014)
Luo, Y.J., Chen, T., Zhang, S., Li, K.: Intelligent hybrid electric vehicle ACC With coordinated control of tracking ability, fuel economy, and ride comfort. IEEE Intell. Transp. Syst. 16, 2303–2308 (2015)
Glaser, S., Orfila, O., Nouveliere, L., Potarusov, R., Akhegaonkar, S., Holzmann, F., Scheuch, V.: Smart and Green ACC, adaptation of the ACC strategy for electric vehicle with regenerative capacity. In: Intelligent Vehicles Symposium, vol. 36, pp. 970–975. IEEE (2013)
Acknowledgement
This work was supported by the National Key R&D Program of China (2016YFC0802208), the National Natural Science Foundation of China under Grant No.51175443, the Science and Technology Projects of Sichuan under 2014RZ0036, 2015RZ17 and 2016GZ0026, and the Fundamental Research Funds for the Central Universities under Grant No. 2682016ZDPY03.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Wei, F., Pan, H., Hongxia, l. (2019). Research on the Development Status of the Heavy-Duty Truck in China and Improving Its Safety and Energy Consumption. In: Ni, S., Wu, TY., Chang, TH., Pan, JS., Jain, L. (eds) Advances in Smart Vehicular Technology, Transportation, Communication and Applications. VTCA 2018. Smart Innovation, Systems and Technologies, vol 129. Springer, Cham. https://doi.org/10.1007/978-3-030-04582-1_43
Download citation
DOI: https://doi.org/10.1007/978-3-030-04582-1_43
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-04581-4
Online ISBN: 978-3-030-04582-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)