Journal of Jilin University(Engineering and Technology Edition) ›› 2021, Vol. 51 ›› Issue (5): 1692-1699.doi: 10.13229/j.cnki.jdxbgxb20200378

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Data processing method of bus driving cycle based on vehicular network information

Xiao-hua ZENG(),Mei-jie SONG,Da-feng SONG(),Yue WANG   

  1. State Key Laboratory of Automotive Simulation and Control，Jilin University，Changchun 130022，China
  • Received:2020-05-30 Online:2021-09-01 Published:2021-09-16
  • Contact: Da-feng SONG E-mail:13504422161@126.com;songdf@126.com

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Abstract:

Under the influence of technology， cost， environment and other adverse factors， data missing and data noise problems inevitably exist in the data transmission process of the vehicle networking platform. In view of the practical problems that need to be further improved in the data transmission optimization of the Internet of vehicles， based on the vehicle networking platform of a commercial bus enterprise， this paper obtains the driving cycle data of the bus running on the fixed line. According to the characteristics and problems of the data of the vehicle networking platform， the missing data of driving cycle is estimated by the integration method of interpolation and neural network， and the noise data of driving cycle is cleaned based on wavelet transform. Finally， the evaluation index of the data processing method of driving cycle is given， and the effect of the data processing method is explained reasonably. The results show that the missing data track method can better estimate and restore the change of the real working condition of the vehicle. The method based on wavelet transform effectively processes the noise data， and the errors of both methods are within a reasonable range. The research content of this paper can provide practical reference and reference for the optimization of data transmission and the processing methods of massive and high concurrent data in the field of Internet of vehicles.

Key words: vehicle engineering, urban bus, vehicle networking information, driving cycle, data missing, data noise

CLC Number: 

  • U469.1

Fig.1

Change of driving condition information-vehicle speed in seven days"

Fig.2

Change of driving condition information-main motor rotational speed in seven days"

Table 1

Missing of driving condition data on platform of vehicle networking platform"

车联网平台时间时间/s车速/ （km·h-1）主电机转速/ （r·min-1）
????
2018/12/15 6：33：05375271827
2018/12/15 6：33：15385322132
2018/12/15 6：33：27397252132
2018/12/15 6：33：35405312071
2018/12/15 6：33：50420291920
2018/12/15 6：34：02432291949
????

Fig.3

Estimation method of data missing in driving condition of vehicle networking platform"

Fig.4

Comparison of estimation results of missing driving condition data of vehicle networking platform"

Fig.5

Estimation of missing data under different missing time intervals"

Fig.6

Velocity and acceleration filtering under different scale wavelet decomposition"

Fig.7

Driving condition curve after data processing"

Table 2

Comparison of evaluation indexes of driving condition data error"

误差评价指标数值
MAE/（m·s-1）0.42
RMSE/（m·s-1）0.33
MRE0.27

Table 3

Comparison of characteristic parameters of driving conditions"

工况特征参数指标真实工况数据处理后工况误差
平均车速/（km·h-1）30.330.20.1
平均巡航车速/（km·h-1）19.619.30.3
最高车速/（km·h-1）58.258.00.2
平均加速度/（m·s-2）0.320.300.02
最大加速度/（m·s-2）1.801.750.05
平均减速度/（m·s-2）-0.31-0.290.02
怠速比例/%10.310.00.3
加速比例/%46.446.20.2
均速比例/%18.518.40.1
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