Ecological Velocity Planning of Plug-in Hybrid Electric Bus Through Signalized Intersections

2021 ◽  
Author(s):  
Ziqing Wang ◽  
Mahjoub Dridi ◽  
Abdellah El Moudni
Keyword(s):  
Signalized Intersections ◽  
Hybrid Electric Bus ◽  
Electric Bus ◽  
Velocity Planning ◽  
Hybrid Electric

Hybrid genetic algorithm-based optimization of powertrain and control parameters of plug-in hybrid electric bus

2015 ◽  
Vol 352 (3) ◽  
pp. 776-801 ◽  
Author(s):  
Liang Li ◽  
Yahui Zhang ◽  
Chao Yang ◽  
Xiaohong Jiao ◽  
Lipeng Zhang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Control Parameters ◽  
Hybrid Electric Bus ◽  
Electric Bus ◽  
Hybrid Electric ◽  
And Control

Economic value and utility of a powertrain system for a plug-in parallel diesel hybrid electric bus

2010 ◽  
Vol 11 (4) ◽  
pp. 555-563 ◽  
Author(s):  
B. Suh ◽  
A. Frank ◽  
Y. J. Chung ◽  
E. Y. Lee ◽  
Y. H. Chang ◽  
...  
Keyword(s):  
Economic Value ◽  
Hybrid Electric Bus ◽  
Powertrain System ◽  
Electric Bus ◽  
Hybrid Electric

scholarly journals Development of Driving Cycle Construction for Hybrid Electric Bus: A Case Study in Zhengzhou, China

2020 ◽  
Vol 12 (17) ◽  
pp. 7188
Author(s):  
Jiankun Peng ◽  
Jiwan Jiang ◽  
Fan Ding ◽  
Huachun Tan
Keyword(s):  
Transfer Matrix ◽  
Electricity Consumption ◽  
Original Data ◽  
Performance Measure ◽  
Driving Cycle ◽  
Statistical Characteristics ◽  
Hybrid Electric Bus ◽  
Navigation Function ◽  
Electric Bus ◽  
Hybrid Electric

A driving cycle is important to accomplish an accurate depiction of a vehicle’s driving characteristics as the traction motor’s flexible response to stop and start commands. In this paper, the driving cycle construction of an urban hybrid electric bus (HEB) in Zhengzhou, China is developed in which a measurement system integrating global positioning and inertial navigation function is used to acquire driving data. The collected data are then divided into acceleration, deceleration, uniform, and stop fragments. Meanwhile, the velocity fragments are classified into seven state clusters according to their average velocities. A transfer matrix applied to reveal the transfer relationship of velocity clusters can be obtained with statistical analysis. In the third stage, a three-part construction method of driving cycle is designed. Firstly, according to the theory of Markov chain, all the alternative parts that satisfy the construction’s precondition are selected based on the transfer matrix and Monte Carlo method. The Zhengzhou urban driving cycle (ZZUDC) could be determined by comparing the performance measure (PM) values subsequently. Eventually, the method and the cycle are validated by the high correlation coefficient (0.9972) with original data of ZZUDC than that of the other driving cycle (0.9746) constructed with traditional micro-trip and as well by comparing several statistical characteristics of ZZUDC and seven international cycles. Particularly, with around 20.5 L/100 km fuel and approximately 12.8 kwh/100 km electricity consumption, there is a narrow gap between the energy consumption of ZZUDC and WVUCITY, and their characteristics are similar.

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