Abstract
In recent year, new energy buses have been highly developed in supported by the new energy policy in our government. Only accurately know the Operating condition of the new energy buses, it would be better helping for the new energy buses production, application and so on. Besides the vehicles own characteristics, their operating condition are influenced by the operating environment, such as atmospheric pressure, climate, load and so on. Therefore, the research about the new energy buses in the north China whose altitude is high and whose temperature is low is carried on. By means of GPS speed sensor and vehicle terminal, the data of new energy buses is timely collected. Depending on the SPSS software, based on the principal component analysis and K means clustering method, three typical working conditions are achieved. There are suburbs road condition, urban bus lanes condition and urban congested road condition.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chen, Y.: Development status and application prospect of new energy vehicle. China South. Agric. Mach. 48(13), 142–143 (2017)
Ren, B., Ren, X., et al.: Analysis of developing conditions and problems of the domestic new energy bus. Energy Conserv. Environ. Prot. Transp. (4), 28–32 (2013)
Zhang, H., Lv, Y.: Information flow characteristics analysis of vehicular Ad-hoc network. Chin. J. Eng. Math. 34(5), 449–457 (2017)
Mata, C., Leite, W.D.O., Moreno, R., et al.: Prediction of NOx emissions and fuel consumption of a city bus under real operating conditions by means of biharmonic maps. J. Energy Eng. 142(4), 04016018 (2016)
Zhong, S., Huang, J., et al.: Frame design and key technical analysis of EMI test system for new energy vehicle dynamic condition. China Meas. Test, 43(8), 76–79 (2017)
Sun, L., Lin, X., et al.: Management strategy based on type recognition and multivariate nonlinear regression optimization. China Mech. Eng. (22), 2695–2700 (2017)
Bai, D.: Study on Control Strategy Optimization for CNG Hybrid Electric Bus Based on Driving Cycle. Jilin University (2014). (Recognition)
Suraparaju, K.R., Pillai, G.: Type 2 fuzzy logic–based robust control strategy for power sharing in microgrids with uncertainties in operating conditions. Int. Trans. Electr. Energy Syst. 27 (2017)
Liu, J.: Vehicle Driving Cycle Discrimination Based On Multi-Sensor Information Fusion. Changchun University of Technology (2016)
Tang, B.: Research on Driving Cycle and Energy Control Strategy for Pure Electric Buses in Hefei. Kunming University of Science and Technology (2011)
Meng, J.: Study of Xi’an Typical Section of City Bus Driving Cycles. Chang’an University (2014)
Zhu, J.: The City Bus Driving Cycle Construction. Hefei University of Technology (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Yang, X., Zhang, L., Zhang, Y., Lu, Q. (2019). The Analysis of the New Energy Buses Operating Condition in the North China. In: Hung, J., Yen, N., Hui, L. (eds) Frontier Computing. FC 2018. Lecture Notes in Electrical Engineering, vol 542. Springer, Singapore. https://doi.org/10.1007/978-981-13-3648-5_239
Download citation
DOI: https://doi.org/10.1007/978-981-13-3648-5_239
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-3647-8
Online ISBN: 978-981-13-3648-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)