Electric vehicle platform for drivability analysis

2010 ◽  
Author(s):  
Benjamin Eller ◽  
J.F. Hetet ◽  
Sylvie Andre ◽  
Gonzalo Hennequet
Keyword(s):  
Electric Vehicle ◽  
Vehicle Platform

Comparison Study on Two Energy Control Strategies of Plug-In Hybrid Electric Vehicle

2011 ◽  
Vol 474-476 ◽  
pp. 1583-1586
Author(s):  
Qing Sheng Shi ◽  
Xiao Ping Zhang ◽  
Lan Wu
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Control Strategies ◽  
Energy Control ◽  
Simulation Experiments ◽  
Engine Efficiency ◽  
Efficiency Control ◽  
Hybrid Electric ◽  
Vehicle Platform

It is of great importance to manage the energy split of plug-in hybrid electric vehicle during the driving process.In this paper, principle of energy control in plug-in hybrid electric vehicle was first presented. And then, two energy control strategies, including fuel control strategy and engine efficiency control strategy, were analyzed, respectively. Finally, comparision simulation experiments were carried on electric vehicle platform ADVISOR software. Simulation results show that, using fuel control strategy can get a better economy performance but worse engine efficiency; while using engine efficiency control strategy can get a better engine efficiency but higher fuel consumption.

scholarly journals Intelligent functions development on autonomous electric vehicle platform

2020 ◽  
Vol 20 (2) ◽  
pp. 114-125
Author(s):  
Ruxin WANG ◽  
Raivo SELL ◽  
Anton RASSOLKIN ◽  
Tauno OTTO ◽  
Ehsan MALAYJERDI
Keyword(s):  
Electric Vehicle ◽  
Vehicle Platform

Hybrid control technique applied in a FC-SC electric vehicle platform

2010 ◽  
Author(s):  
Ilse Cervantes ◽  
Francisco J. Perez-Pinal ◽  
Jesus Leyva-Ramos ◽  
Angelica Mendoza-Torres
Keyword(s):  
Electric Vehicle ◽  
Hybrid Control ◽  
Control Technique ◽  
Vehicle Platform

scholarly journals Highly Automated Electric Vehicle Platform for Control Education

2020 ◽  
Vol 53 (2) ◽  
pp. 17296-17301
Author(s):  
Árpád Fehér ◽  
Szilárd Aradi ◽  
Tamás Bécs ◽  
Péter Gáspár
Keyword(s):  
Electric Vehicle ◽  
Control Education ◽  
Vehicle Platform

A Human-Centered Design of General-Purpose Unmanned Electric Vehicle Chassis for Agriculture Task Payload

2017 ◽  
Vol 17 (3) ◽  
Author(s):  
Kuang Ma ◽  
Ziming Qi
Keyword(s):  
Electric Vehicle ◽  
Design Process ◽  
Innovation Process ◽  
General Purpose ◽  
Human Centered Design ◽  
Agricultural Application ◽  
Real Size ◽  
Robotic Vehicle ◽  
Vehicle Chassis ◽  
Vehicle Platform

This paper presents the design process of a novel general-purpose electric vehicle chassis as agriculture payload carrier platform to perform agricultural tasks: detection, guidance, mapping, and action. This design applied a human-centered design frameworks and processes: Kumar's seven modes of the design innovation process, and the three lenses of human-centered design by IDEO. After approach from three design-project perspectives mapping, a universal electric-powered multiwheel independent drive and independent steering robotic vehicle platform is designed for agricultural application. A real size prototype has been built to prove the design.

Adaptive identification methods of nonlinear random electrical signal

2020 ◽  
Vol 64 (1-4) ◽  
pp. 431-438
Author(s):  
Jian Liu ◽  
Lihui Wang ◽  
Zhengqi Tian
Keyword(s):  
Wavelet Transform ◽  
Electric Vehicle ◽  
Signal To Noise Ratio ◽  
Sudden Change ◽  
Electrical Signal ◽  
Signal Recognition ◽  
State Variable ◽  
Signal Characteristics ◽  
The Matrix ◽  
Kalman Filter Algorithm

The nonlinearity of the electric vehicle DC charging equipment and the complexity of the charging environment lead to the complex and changeable DC charging signal of the electric vehicle. It is urgent to study the distortion signal recognition method suitable for the electric vehicle DC charging. Focusing on the characteristics of fundamental and ripple in DC charging signal, the Kalman filter algorithm is used to establish the matrix model, and the state variable method is introduced into the filter algorithm to track the parameter state, and the amplitude and phase of the fundamental waves and each secondary ripple are identified; In view of the time-varying characteristics of the unsteady and abrupt signal in the DC charging signal, the stratification and threshold parameters of the wavelet transform are corrected, and a multi-resolution method is established to identify and separate the unsteady and abrupt signals. Identification method of DC charging distortion signal of electric vehicle based on Kalman/modified wavelet transform is used to decompose and identify the signal characteristics of the whole charging process. Experiment results demonstrate that the algorithm can accurately identify ripple, sudden change and unsteady wave during charging. It has higher signal to noise ratio and lower mean root mean square error.

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