scholarly journals Field Operations Program, Toyota PRIUS Hybrid Electric Vehicle Performance Characterization Report

2001 ◽  
Author(s):  
James Edward Francfort ◽  
N. Nguyen ◽  
J. Phung ◽  
J. Smith ◽  
M. Wehrey
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Performance Characterization ◽  
Vehicle Performance ◽  
Hybrid Electric ◽  
Toyota Prius

scholarly journals Real-Time Co-optimization of Vehicle Route and Speed Using Generic Algorithm for Improved Fuel Economy

2019 ◽  
Vol 141 (03) ◽  
pp. S08-S15
Author(s):  
Guoming G. Zhu ◽  
Chengsheng Miao
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Fuel Economy ◽  
Autonomous Vehicles ◽  
Hybrid Electric Vehicle ◽  
High Efficiency ◽  
Combustion Engine ◽  
Cruise Control ◽  
Vehicle Performance ◽  
Hybrid Electric

Making future vehicles intelligent with improved fuel economy and satisfactory emissions are the main drivers for current vehicle research and development. The connected and autonomous vehicles still need years or decades to be widely used in practice. However, some advanced technologies have been developed and deployed for the conventional vehicles to improve the vehicle performance and safety, such as adaptive cruise control (ACC), automatic parking, automatic lane keeping, active safety, super cruise, and so on. On the other hand, the vehicle propulsion system technologies, such as clean and high efficiency combustion, hybrid electric vehicle (HEV), and electric vehicle, are continuously advancing to improve fuel economy with satisfactory emissions for traditional internal combustion engine powered and hybrid electric vehicles or to increase cruise range for electric vehicles.

scholarly journals Multiobjective optimisation of a series hybrid electric vehicle using DIRECT algorithm

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Abdelmoula Rihab ◽  
◽  
Ben Hadj Naourez ◽  
Chaieb Mohamed ◽  
Neji Rafik ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Combustion Engine ◽  
Vehicle Performance ◽  
Performance Requirements ◽  
Toxic Emissions ◽  
Series Hybrid Electric Vehicle ◽  
Hybrid Electric ◽  
Fuel Consumption And Emissions

With the economic development, transportation in the city becomes more crowded. Furthermore, fuel consumption is causing a serious problem of pollution in the urban environment. Hybrid electric vehicles are considered as a good solution compared to conventional internal combustion engine vehicles. In order to solve those problems, the components parameters of a series hybrid electric vehicle are selected and tested with the ADvanced VehIcle SimulatOR (ADVISOR) simulation tool, which is a software-based on Matlab_simulink. Then, an optimisation was done to minimise simultaneous fuel consumption and emissions (HC, CO, and NOx) of the vehicle engine. In addition, the driving performance requirements are also examined during the urban dynamometer driving schedule (UDDS) to fix their optimal control parameters. Finally, the results show that those steps help reduce fuel consumption and emissions while guaranteeing vehicle performance. Hence, the series hybrid electric vehicle greatly improves fuel economy and reduces toxic emissions.

Research on the Driver's Following Behavior Based on Hybrid Electric Vehicle Model

2013 ◽  
Vol 281 ◽  
pp. 159-162
Author(s):  
Chang Hao Piao ◽  
Chong Xi Duan ◽  
Yu Sheng Li ◽  
Sheng Lu
Keyword(s):  
Electric Vehicle ◽  
Traffic Safety ◽  
Hybrid Electric Vehicle ◽  
Performance Testing ◽  
Good Effect ◽  
Behavior Model ◽  
Vehicle Speed ◽  
Vehicle Performance ◽  
Simulation Results ◽  
Hybrid Electric

On the basis of Hybrid Electric Vehicle (HEV) model, this paper has developed the driver's following behavior model. Reasonable following behavior is very important in traffic safety. Firstly, this paper has gotten the relationship between vehicle speed, acceleration and pedal depth by vehicle performance testing. Then car-following model based on regression analysis was developed, meanwhile reasonable amendments of the distance model was added. Finally，graphical user interface (GUI) of driver's following behavior was designed, which can displays the simulation results intuitively. Simulation results show that driver's following behavior model is reasonable and effective. It has a good effect both on traffic safety and traffic-economic.

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