Cost analyses and optimization of a PEMFC electric vehicle model

2016 ◽  
Author(s):  
Yu-Ting Teng ◽  
Fu-Cheng Wang
Keyword(s):  
Electric Vehicle ◽  
Vehicle Model ◽  
Cost Analyses

Research on Control System of Hybrid Regenerative Braking and Low Speed Energy Recovery

2011 ◽  
Vol 55-57 ◽  
pp. 1560-1565
Author(s):  
Ping Sun ◽  
Xiu Min Yu ◽  
Wen Suo Yi ◽  
Hua Jie Ding ◽  
Jin Guang Liang
Keyword(s):  
Electric Vehicle ◽  
Energy Recovery ◽  
Hybrid Vehicles ◽  
Energy Utilization ◽  
System Control ◽  
Vehicle Model ◽  
Low Speed ◽  
Recovery Strategies ◽  
Concrete Realization ◽  
Braking Energy Recovery

The energy utilization is crucial for electric or hybrid vehicles to solve the problem of braking energy recovery, especially of low speed energy recovery. In this paper, the energy transform model of electric vehicle in braking state is analyzed, and the half bridge control main circuit was selected. The energy recovery strategies and methods on the breaking process of low speed were researched. The concrete realization of parameters decision and system control was given. The results show that the energy recovery strategy and electric vehicle model can improve the energy transform efficiency in low speed state.

Optimization of Regenerative Braking Control Strategy for Pure Electric Vehicle

2017 ◽  
Vol 872 ◽  
pp. 331-336 ◽  
Author(s):  
Zhi Jun Guo ◽  
Dong Dong Yue ◽  
Jing Bo Wu
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
Pso Algorithm ◽  
Regenerative Braking ◽  
Recovery Efficiency ◽  
Constraint Optimization ◽  
Vehicle Model ◽  
Braking Torque ◽  
Braking Control

The regenerative braking strategy for precursor pure electric vehicle was studied in this paper. Firstly, a constraint optimization model was established for the braking force distribution, in which both braking stability and recovery efficiency of braking energy were taken into account. Secondly, Particle Swarm Optimization (PSO) algorithm was applied to optimize the multi key parameters in the model. Finally, the optimized braking torque of the motor was obtained at different speed, different braking strength and different battery charge state. A vehicle model was built to validate the optimized results through simulation. The results showed that, compared with the original control strategy, the optimized control strategy not only could increase the braking stability effectively, but also improve the energy recovery efficiency in a certain extent.

A study of electric vehicle suspension control system based on an improved half-vehicle model

2007 ◽  
Vol 4 (3) ◽  
pp. 236-242 ◽  
Author(s):  
Jiang-Tao Cao ◽  
Hong-Hai Liu ◽  
Ping Li ◽  
David J. Brown ◽  
Georgi Dimirovski
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Vehicle Suspension ◽  
Vehicle Model ◽  
Suspension Control

Study on Factors Affecting the Range of Electric Vehicle with ADVISOR

2013 ◽  
Vol 860-863 ◽  
pp. 1092-1095
Author(s):  
Fei Wu ◽  
Jian Wang ◽  
Zheng Bin Wu ◽  
Xiang Po Chen ◽  
Rui Tao Li
Keyword(s):  
Mathematical Model ◽  
Electric Vehicle ◽  
Simulation Software ◽  
Simple Mathematical Model ◽  
Affecting Factors ◽  
Vehicle Model ◽  
Related Factors ◽  
Factors Affecting ◽  
Driving Range

A simple mathematical model of the range of EV is established in this paper and it is used to analyze the main related factors. A kind of electric vehicle model is also constructed and analyzed in simulation software ADVISOR. From the results of analysis, the regulation of influence of some affecting factors on the driving range of EV can be obtained. All these regulations are helpful for us to promote our designing of EV.

Conceptual Design of an Automatically Replacing and Charging System for Electric Vehicles

2012 ◽  
Vol 510 ◽  
pp. 136-140
Author(s):  
Shu Ping Chen ◽  
Fan Qiang Cheng ◽  
Chen Gan Liu ◽  
Qing Chun Zhang ◽  
Long Li
Keyword(s):  
Electric Vehicle ◽  
Conceptual Design ◽  
Electric Vehicles ◽  
Vehicle Model ◽  
Charging System ◽  
Charging Station ◽  
Gps Navigation ◽  
Late Model ◽  
Long Time ◽  
Low Efficiency

Electric vehicle is an important developing trend of the vehicle industry and the power and technique field. But nowadays, there still exist some problems in this field which cant be solved with mature solutions, such as long time of charging, high cost of replacing and charging station and large areas it covers, low efficiency and so on. By building an effective model, this paper brings up a conceptual design of an automatic system of replacing and charging batteries for electric vehicles with the late-model design of the multi-station device. By observing the effect of the experimental device, it can solve the problems mentioned above, but more should be done to improve it. This design, the demo system, mainly includes electric vehicle model system, replacing and charging station system and GPS navigation system, and it performs excellent in experiment.

Dynamic Modeling and Acceleration Control of Electric Vehicles

2012 ◽  
Vol 476-478 ◽  
pp. 944-948 ◽  
Author(s):  
Xiao Long Liu ◽  
Shao Peng Zhu ◽  
Zhi Jun Wu
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Speed Control ◽  
Acceleration Process ◽  
Vehicle Model ◽  
Brushless Dc ◽  
Wheel Drive ◽  
Speed Control System ◽  
Four Wheel Drive ◽  
Motor Model

This paper constructs a dynamic model of a four-wheel drive electric vehicle, which contains a vehicle model and a brushless DC motor model. In order to improve the starting and acceleration performance of the electric vehicle, we design a speed and current double closed-loop speed control system based on the constructed dynamic electric vehicle model. The starting and acceleration process of the electric vehicle is simulated and analyzed by CarSim-Matlab/Simulink co-simulation. The effectiveness of the speed control system is evaluated by the co-simulation results. In addition, the robustness of the speed control system is also analyzed for different vehicle masses.

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