Automatic Gear Shift Unit

2009 ◽  
Vol 147-149 ◽  
pp. 185-190 ◽  
Author(s):  
Jerzy Jantos ◽  
Krzysztof Prażnowski ◽  
Jarosław Mamala
Keyword(s):  
Fuel Consumption ◽  
Power Transmission ◽  
Gear Ratio ◽  
Driving Safety ◽  
Passenger Cars ◽  
Electronic Throttle ◽  
Gear Shift ◽  
Traffic Conditions ◽  
Important Benefit ◽  
Start Process

Automatization of gear shift and number selection in passenger cars with stepped transmission result in improvement of driving safety due to concentration of driver’s attention on the conditions of the traffic [1, 3]. Besides, the car can be used by a disabled person. The most important benefit of the projected solution is associated with reduction in fuel consumption resulting from the more economical selection of the transmission ratio [4, 5, 7]. The gear number choice depends on many factors, for example: traffic conditions, temporum vehicle and engine rotational speed as well as engine load. It is very often the case that even a driver with experience can face problems with optimal decisions. Automatically controlled system with suitable algorithm can reduce fuel consumption and improve the vehicle drivability. The system named MeGSS (Mechatronic Gear Shift System) has been developed for this purpose. It was subsequently tested in a passenger car equipped with five-step gear box. In the car the MeGSS is responsible for engine start process and the gear shift procedure. In this system the manual (M) and automatic (A) gear ratio control is possible. The gear shift procedure is connected with electronic throttle control algorithm, which promote smooth power transmission [2, 6].

scholarly journals Construction of the graph model for determining an ecological compatibility of a transportation process

2022 ◽  
Vol 14 (2) ◽  
pp. 103-110
Author(s):  
Olha Sakno ◽  
◽  
Ievgen Medvediev ◽  
Peter Eliseyev ◽  
Serhii Tsymbal ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Co2 Emissions ◽  
Graph Model ◽  
Weather Conditions ◽  
Complex Problem ◽  
Climatic Conditions ◽  
Passenger Cars ◽  
Traffic Conditions ◽  
Vehicle Systems ◽  
On The Road

Uncertainty of data during environmental monitoring prevents with confidently and objectively assessing the current condition of the environment, the influence of factors affecting the fuel consumption of vehicles during operation. In addition, it creates a serious problem in assessing the dynamics of this condition, especially when it comes to relatively small levels of pollution that are on the verge of the sensitivity of systems and devices in the car. It is precisely these tasks that include the determination of atmospheric pollution by emissions from road transport in conditions of variable weather and climatic conditions, carrying out routine maintenance, changing a configuration of an engine or transmission. The article discusses: a) factors related to the characteristics and vehicle systems, with the maintenance of vehicles. This category focuses on fuel consumption and CO2 emissions, which depend on the technical and operational characteristics of the vehicle, its weight and aerodynamics, tires and auxiliary systems, the quality and timeliness of maintenance and repairs; b) factors related to the environment and traffic conditions (weather conditions, road morphology and traffic conditions); c) factors related to a driver of a vehicle (driver qualifications, driving style). Optimization of factors related to vehicle systems and their characteristics has been performed; by using fuel of optimum quality and driving efficiently, you can achieve savings in fuel (financial) consumption and CO2 emissions. The article proposes the solution to a complex problem of managing the transport process while minimizing fuel consumption and CO2 emissions from passenger cars, depending on the road and climatic conditions and the driver's qualifications, based on the theory of fuzzy sets. This approach made it possible to largely compensate for the lack of objective information about the process due to its uncertainty by subjective expert data.

Improved Energy Efficiency and Controllability of Mobile Work Machines by Reduced Engine Rotational Speed

2013 ◽  
Author(s):  
Miika Ahopelto ◽  
Joni Backas ◽  
Reza Ghabcheloo ◽  
Kalevi Huhtala
Keyword(s):  
Fuel Consumption ◽  
Rotational Speed ◽  
Power Transmission ◽  
Fuel Efficiency ◽  
Gear Ratio ◽  
Combustion Engines ◽  
High Fuel Efficiency ◽  
Mobile Work ◽  
And Control ◽  
Partial Loads

The usage and control of combustion engines has a significant effect in the fuel consumption and controllability of mobile work machines. In general, the best efficiency region of engine is at high partial loads. In this area, the challenge is the reduced reaction speed of engine. In this paper, we present an approach to gain high fuel efficiency and good drivability by reducing the rotational speed of the engine. This is possible due the fact that hydrostatic power transmission provides variable gear ratio between the engine and the actuators. At reduced rotational speed, engine operates with higher partial loads and improved fuel efficiency for a given required power. The experimental drive cycle tests are presented and show over 25% reduction in fuel consumption compared to conventional control where engine rotational speed is kept constant.

POSSIBILITIES OF DRIVEABILITY AND FUEL CONSUMPTION IMPROVEMENT BY ADVANCED CONTROL POWER TRANSMISSION SYSTEM IN PASSENGER CAR

Transport ◽  
2007 ◽  
Vol 22 (4) ◽  
pp. 247-251 ◽  
Author(s):  
Andrzej Bieniek ◽  
Jerzy Jantos ◽  
Jarosław Mamala
Keyword(s):  
Fuel Consumption ◽  
Power Transmission ◽  
Control Strategies ◽  
Gear Ratio ◽  
Transmission System ◽  
Bench Test ◽  
Control Power ◽  
Power Transmission System ◽  
Variable Transmission ◽  
Ratio Change

The correct work of a power transmission system for the sake of a car motion properties, fuel consumption and pollution emission, requires proper control of an engine and power transmission system. This problem becomes especially significant in the case of automation of the power transmission system and particularly regarding the system of constant gear ratio change between the engine and drive wheels (Continuously Variable Transmission), examined in the paper. This control is based on friction degree conditions estimation between metal belt and the transmission wheels. This paper also describes the experimental results of bench test and road test and applying of different control strategies.

Performance simulations of engine-gearbox combinations for lightweight passenger cars

2001 ◽  
Vol 215 (2) ◽  
pp. 259-271 ◽  
Author(s):  
P Soltic ◽  
L Guzzella
Keyword(s):  
Fuel Consumption ◽  
High Speed ◽  
Gear Ratio ◽  
Published Data ◽  
Passenger Cars ◽  
Gear Drive ◽  
Different Types ◽  
Variable Transmission ◽  
Low Efficiency ◽  
Gear Drives

This paper compares the fuel consumption of lightweight passenger cars with three different types of engine (one low speed and one high speed naturally aspirated spark ignited, one turbo-charged compression ignited) and two different types of transmission [continuously variable transmission (CVT) and automated gear drive]. All fuel consumption results are obtained using a quasi-static driving cycle simulator. The implemented models are described in detail. The engines are represented through their eficiency maps, which are obtained by scaling published data. Effciency of the transmission (CVT or gear drive) is modelled in dependence on speed, torque and gear ratio. The simulations show that low fuel consumption can be achieved with all those concepts. CVTs show similar results to automated gear drives. The CVT's theoretical advantage of operating the engine at its most fuel-efficient points is compensated by the relatively low efficiency.

scholarly journals A Novel Approach for Operating Speed Continuous Predication Based on Alignment Space Comprehensive Index

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Ying Yan ◽  
Gengping Li ◽  
Jinjun Tang ◽  
Zhongyin Guo
Keyword(s):  
Field Experiments ◽  
Prediction Models ◽  
Three Dimensional ◽  
Safety Evaluation ◽  
Driving Safety ◽  
Operating Speed ◽  
Passenger Cars ◽  
Comprehensive Index ◽  
Novel Approach ◽  
Lane Width

Operating speed is a critical indicator for road alignment consistency design and safety evaluation. Although extensive studies have been conducted on operating speed prediction, few models can finish practical continuous prediction at each point along alignment on multilane highways. This study proposes a novel method to estimate the operating speed for multilane highways in China from the aspect of the three-dimensional alignment combination. Operating speed data collected in field experiments on 304 different alignment combination sections are detected by means of Global Positioning System. First, the alignment comprehensive index (ACI) is designed and introduced to describe the function accounting for alignment continuity and driving safety. The variables used in ACI include horizontal curve radius, change rate of curvature, deflection angle of curve, grade, and lane width. Second, the influence range of front and rear alignment on speed is determined on the basis of drivers’ fixation range and dynamical properties of vehicles. Furthermore, a prediction model based on exponential relationships between road alignment and speeds is designed to predict the speed of passenger cars and trucks. Finally, three common criteria are utilized to evaluate the effectiveness of the prediction models. The results indicate that the prediction models outperform the other two operating speed models for their higher prediction accuracy.

scholarly journals 1 DESIGN OF MODULAR ARCHITECTURE FOR EV AND HEV FOR PASSENGER CARS

2021 ◽  
Author(s):  
Midhun Muraleedharan ◽  
◽  
Amitabh Das ◽  
Dr. Mohammad Rafiq Agrewale ◽  
Dr. K.C. Vora ◽  
...  
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Fuel Consumption ◽  
Modular Architecture ◽  
Passenger Cars ◽  
Passenger Car ◽  
Vehicle Performance ◽  
Matlab Simulink ◽  
System Designer ◽  
Battery Energy

Hybridization is important to obtain the advantages of both the engine and motor as the sources of propulsion. This paper discusses the effect of hybridization of powertrain on vehicle performance. The Hybrid architectures are differentiated on the basis percentage of power dependency on the engine and motor. Passenger car with hybridization ratios of 20%, 40%, 60%, 80% and 100% are modelled on MATLAB/Simulink using the backward facing approach with the engine and motor specifications remaining constant. The hybridizations ratios and the energy consumption in terms of fuel and battery energy are obtained from the model and compared. Neural network is implemented to determine the fuel consumption. The outputs can be used by a system designer to determine a desirable hybridization factor based on the requirements dictated by the specific application.

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