Integrated modelling of autonomous electric vehicle diffusion: From review to conceptual design

2021 ◽  
Vol 91 ◽  
pp. 102679
Author(s):  
Chengxiang Zhuge ◽  
Chunyan Wang
Author(s):  
Christoph Weissinger ◽  
Dominik Buecherl ◽  
Hans-Georg Herzog

2012 ◽  
Vol 510 ◽  
pp. 136-140
Author(s):  
Shu Ping Chen ◽  
Fan Qiang Cheng ◽  
Chen Gan Liu ◽  
Qing Chun Zhang ◽  
Long Li

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.


Author(s):  
Juan Sebastián Núñez ◽  
Luis Ernesto Muñoz

This paper presents the conceptual design of the traction control system of a high performance electric vehicle with four driven wheels, intended to be used in quarter mile competitions. Different models of the longitudinal and vertical vehicle’s dynamics are presented, in order to consider the coupling dynamics of front and rear wheels. Two slip control strategies are proposed so as to maximize the traction forces of the wheels. The first one consists of a traditional control scheme applied to each wheel of the vehicle. Since the interaction between the tire and the road is often poorly known, the second controller proposed consists of a perturbation based extremum seeking control (PBESC), in order to maximize the traction force without knowledge of the road and the tire characteristics. Finally an auto tuning process based on low discrepancy sequences for both control systems is presented.


2015 ◽  
Vol 67 (2) ◽  
pp. 137
Author(s):  
Bartosch Czapnik ◽  
Ismail Levent Sarioglu ◽  
Hendrik Schröder ◽  
Ferit Küçükay

Author(s):  
Sina Shojaei ◽  
Andrew McGordon ◽  
Simon Robinson ◽  
James Marco ◽  
Paul Jennings

The requirement for including the air-conditioning and the battery-cooling loads within the energy efficiency analyses of a hybrid electric vehicle is widely recognized and has promoted system-level simulations and integrated modelling, escalating the challenge of balancing the accuracy and the speed of simulations. In this paper, a hybrid electric vehicle model is created through co-simulation of the passenger cabin, the air conditioning, the battery cooling, and the powertrai. Calibration and verification of the submodels help determine their accuracy in representing the target vehicle and achieve a balance between the model fidelity and the simulation speed. The result is a model which has a higher accuracy and a higher speed than those of similar models developed previously and which provides a reliable tool for a thorough investigation of the cooling loads for different ambient conditions and different duty cycles.


Author(s):  
Maria Augusta de Menezes Lourenço ◽  
Fabrício Silva ◽  
Ludmila Silva ◽  
Jony Eckert ◽  
Franco Giuseppe Dedini

2014 ◽  
Vol 952 ◽  
pp. 223-226 ◽  
Author(s):  
Da Feng Jin ◽  
Xiao Qi Chen

To realize the lightweight structure, a car body frame conceptual design of a mini electric vehicle was performed with topology optimization and size optimization. Topology optimization was used to search load paths and size optimization was applied to model a simplified structure. Static stiffness, crash safety and free vibration conditions were considered simultaneously in both of the optimization phases. Due to the feature of conceptual design, crashworthiness cases were regarded as static stiffness ones with inertia relief analysis for a linear equivalent. The objective function in multi-objective topology optimization was defined by Compromise Programming Method in OptiStruct. Because of the characteristic of the geometry and the manufacturing constraints of profiles, the design variables in size optimization were defined as both continuous and discrete variables. The resultant structure outperforms the original one in many structure responses and most significantly, it reduces weight by 36%, which demonstrates the efficiency of the proposed method.


2008 ◽  
Vol 57 (1) ◽  
pp. 3 ◽  
Author(s):  
R Sell ◽  
M Tamre ◽  
M Lehtla ◽  
A Rosin

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