Government Policy in the Development of Electric Motor Vehicle Technology for an Environmental Friendly Transportation

The energy consumption in transportation sector was mostly created by the individual likeness to use private motor vehicle. High dependency on private motor vehicles has contributed not only to the traffic problem but also accounted to carbon emission. This study aims to investigate the psychological factors that influencing the adolescents’ intention to be more pro-environmental. This study found that the behavioural intention was significantly influenced by the adolescents’ awareness towards consequences, attitude towards environment and public transport, the sentiment of moral obligation to change, and the perceived possibilities or difficulty to practice environmental friendly travel behaviour.

Download Full-text

Development of a Model of on-Board Pemfc Powered Locomotive with a Metal Hydride Cylinder

MRS Proceedings ◽

10.1557/proc-393-145 ◽

1995 ◽

Vol 393 ◽

Cited By ~ 2

Author(s):

H. Hasegawa ◽

Y. Ohki

Keyword(s):

Fuel Cell ◽

Metal Hydride ◽

Motor Vehicle ◽

Traction Force ◽

Rolling Friction ◽

Permanent Magnet Motor ◽

Electric Car ◽

Model Fuel ◽

Electric Motor Vehicle ◽

Surplus Power

ABSTRACTThis paper presents a phase-zero evaluation case of installing on-off-board hybrid powered Electric Motor Vehicle (EMV) in existing and new local line and reports development of a model fuel cell powered locomotive. EMV such as electric car and locomotive are a new conceptual EMV using hybrid power between off-board substation and on-board Regenerative Fuel Cell (RFC) power system with Metal Hydride (MH) stored hydrogen generated with water electrolyzer by off-board surplus power. In this study, it is estimated a possibility to close power gap over 30 % in placing the new conceptual vehicle. The Locomotive is a 110 cm long locomotive powered by a 20 W PEMFC configured with 20 cells and supplied with about 2 g hydrogen, from a cylinder of 100 g metal hydride, and natural convection air (02). Measuring 50 cm (W), 50 cm (H), and weighting 25.9 kgf, the locomotive has a permanent magnet motor with a rated power 38 W (12 V, 3 A) and ran on railway that has a gauge of 126 mm (3'6“/8.5=4.94”), a length of 100 m. The performance of this train was acceleration of 0.5 m/s, cruising speed of 4.1 m/s at traction force of 15.8 N (1.6 kgf), average rolling friction of 5 N (460 gf).

Download Full-text

Efficient Neural Network Implementations on Parallel Embedded Platforms Applied to Real-Time Torque-Vectoring Optimization Using Predictions for Multi-Motor Electric Vehicles

Electronics ◽

10.3390/electronics8020250 ◽

2019 ◽

Vol 8 (2) ◽

pp. 250 ◽

Cited By ~ 4

Author(s):

Martin Dendaluce Jahnke ◽

Francesco Cosco ◽

Rihards Novickis ◽

Joshué Pérez Rastelli ◽

Vicente Gomez-Garay

Keyword(s):

Real Time ◽

Vehicle Dynamics ◽

Degrees Of Freedom ◽

Motor Vehicle ◽

Torque Vectoring ◽

Field Programmable ◽

Programmable Gate Arrays ◽

Embedded Platforms ◽

Graphical Processing ◽

Electric Motor Vehicle

The combination of machine learning and heterogeneous embedded platforms enables new potential for developing sophisticated control concepts which are applicable to the field of vehicle dynamics and ADAS. This interdisciplinary work provides enabler solutions -ultimately implementing fast predictions using neural networks (NNs) on field programmable gate arrays (FPGAs) and graphical processing units (GPUs)- while applying them to a challenging application: Torque Vectoring on a multi-electric-motor vehicle for enhanced vehicle dynamics. The foundation motivating this work is provided by discussing multiple domains of the technological context as well as the constraints related to the automotive field, which contrast with the attractiveness of exploiting the capabilities of new embedded platforms to apply advanced control algorithms for complex control problems. In this particular case we target enhanced vehicle dynamics on a multi-motor electric vehicle benefiting from the greater degrees of freedom and controllability offered by such powertrains. Considering the constraints of the application and the implications of the selected multivariable optimization challenge, we propose a NN to provide batch predictions for real-time optimization. This leads to the major contribution of this work: efficient NN implementations on two intrinsically parallel embedded platforms, a GPU and a FPGA, following an analysis of theoretical and practical implications of their different operating paradigms, in order to efficiently harness their computing potential while gaining insight into their peculiarities. The achieved results exceed the expectations and additionally provide a representative illustration of the strengths and weaknesses of each kind of platform. Consequently, having shown the applicability of the proposed solutions, this work contributes valuable enablers also for further developments following similar fundamental principles.

Download Full-text

Experimental Investigation of the Seamless Gearshift Mechanism Using an Electric Motor and a Planetary Gear-Set

Energies ◽

10.3390/en13246705 ◽

2020 ◽

Vol 13 (24) ◽

pp. 6705

Author(s):

Sun Je Kim ◽

Kyung-Soo Kim

Keyword(s):

Experimental Investigation ◽

Electric Motor ◽

Test Bench ◽

Planetary Gear ◽

Test Rig ◽

Limited Size ◽

Gear Shift ◽

Operating Concept ◽

Expected Performance ◽

Vehicle Technology

Vehicle transmission which has discrete gear-stages inevitably produces torque drop during shifting gears. This torque drop should be minimized because it may lead to uncomfortable driving feeling and degradation of acceleration performance. In accordance with the spread of electric-powered vehicle technology, this study proposes novel transmission architecture to eliminate torque drop during shifting gears by using one electric motor and verifies its operating concept through experiments with a test-bench. The proposed transmission, called CGST (clutchless geared smart transmission) can synchronize the gear-shaft to be engaged for the next gear-stage with the output shaft by using a planetary gear-set and an electric motor. The CGST has a dual input gear-box with even and odd gear-stages on different input shafts, and the planetary gear-set and the electric motor control the speeds of each input shafts to smoothly engage the next gear-stage. This idea was verified by the simplified test-rig in this study. Three distinct scenarios for gear-shift including starting from engine idling, odd to even gear-shift, and even to odd gear-shift were conducted in the experiment. The shifting performance of the CGST was evaluated by comparing it with the results of the manual transmission (MT). As a result, the CGST shows only 24% of torque drop of the MT, and torque oscillation followed after gear-shifting is reduced by 26%. Although the developed test bench was of limited size, the possibility and expected performance of the CGST have been confirmed as the solution for seamless transmission.

Download Full-text

Two-wheeled motor vehicle technology in India: Evolution, prospects and issues

Energy Policy ◽

10.1016/j.enpol.2007.02.001 ◽

2007 ◽

Vol 35 (8) ◽

pp. 4319-4331 ◽

Cited By ~ 13

Author(s):

Narayan V. Iyer ◽

Madhav G. Badami

Keyword(s):

Motor Vehicle ◽

Vehicle Technology

Download Full-text