Gear Shift Voice Prompt System Based on Optimal Fuel Consumption

2012 ◽  
Vol 512-515 ◽  
pp. 1288-1294
Author(s):  
Yuan Yuan
Keyword(s):  
Fuel Consumption ◽  
Vehicle Speed ◽  
Position Sensor ◽  
Digital Signals ◽  
Voltage Comparator ◽  
Gear Shift ◽  
System A ◽  
Photoelectric Sensor ◽  
Optimal Fuel Consumption

In the system, a 51 microcontroller (functions as CPU) collects digital signals transferred by LM358 (functions as voltage comparator) from voltage signals of throttle position sensor; a photoelectric sensor detects vehicle speed while the microcontroller calculates vehicle speed. CPU analyzes and compares these two types of signals and judges whether the optimal fuel consumption for gear shift is reached. If so, CPU will output a playing instruction to a voice chip and remind driver of shifting gears.

scholarly journals The effects of gear shift indicator usage on fuel efficiency of a motor vehicle

2017 ◽  
Vol 21 (1 Part B) ◽  
pp. 707-713 ◽  
Author(s):  
Ivan Blagojevic ◽  
Goran Vorotovic ◽  
Dragan Stamenkovic ◽  
Nebojsa Petrovic ◽  
Branislav Rakicevic
Keyword(s):  
Fuel Consumption ◽  
Motor Vehicle ◽  
Fuel Efficiency ◽  
Motor Vehicles ◽  
Vehicle Speed ◽  
Maximum Difference ◽  
Factors Affecting ◽  
Gear Shift ◽  
Passenger Vehicles ◽  
Main Factors

The manner of gear shifting is one of the main factors affecting the fuel efficiency of motor vehicles. Potential savings resulted from optimized gear shifting led to introduction of gear shift indicators in passenger vehicles as an obligation from year 2012. The effects of gear shift indicators usage are still not studied enough. That was the motive for the authors to conduct the experiments to justify their usage, both from the economic and ecological standpoint. The presented results come from the tests conducted on FIAT 500L vehicle to determine the fuel consumption using the new European driving cycle, but for three different gear shift patterns: (1) as defined in UNECE Regulation No. 83, (2) as indicated by vehicle?s gear shift indicator, and (3) based on the average vehicle speed values collected from gear shift indicators of 35 passenger vehicles of different makes, types, and characteristics. Maximum difference in fuel consumption recorded in tests done using three different gear shift patterns is 18.7%.

scholarly journals Modeling of Tractor Fuel Consumption

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2300
Author(s):  
Bronisław Andrzej Kolator
Keyword(s):  
Fuel Consumption ◽  
Soil Conditions ◽  
Simulation Studies ◽  
Working Capacity ◽  
Operational Parameters ◽  
System A ◽  
The Individual ◽  
Adjustment System ◽  
Unit Performance ◽  
Efficiency Indicators

In this paper, the energy diagnostic of tractor performance consists in evaluating the energy (fuel consumption per hectare—dm3 ha−1) for a given agricultural operation and in combining it with working capacity, also called productivity (area productivity—ha h−1). One of the methods of solving this problem is the identification of the functioning process of the machine unit. A model of the process of the machine unit performance was developed, considering the operation of the rear linkage system of the implement with the force control adjustment system. In order to analyze the system, a mathematical model of the system function was built: tractor-implement-soil, defining the physical connections and interdependencies between the individual subsystems of the system. Based on this model, a simulation model was developed and implemented in the Matlab/Simulink environment. The Simulink package was used to test the performance of the machine set. The efficiency indicators according to the adopted criteria were calculated in the evaluation block. To evaluate the process, the technical and operational parameters of the tractor, the type and parameters of the tool, and soil properties were taken into account. The results of simulation studies obtained on a validated model are consistent with experimental data from appropriate soil conditions.

Adaptive calibration of Diesel engine injection for minimising fuel consumption with constrained NOx emissions in actual driving missions

2020 ◽  
pp. 146808742091880
Author(s):  
José Manuel Luján ◽  
Benjamín Pla ◽  
Pau Bares ◽  
Varun Pandey
Keyword(s):  
Diesel Engine ◽  
Fuel Consumption ◽  
Time Window ◽  
Transition Probability ◽  
Estimation Method ◽  
Engine Performance ◽  
Driving Cycle ◽  
Vehicle Speed ◽  
Adaptive Calibration ◽  
Emission Limits

This article proposes a method for fuel minimisation of a Diesel engine with constrained [Formula: see text] emission in actual driving mission. Specifically, the methodology involves three developments: The first is a driving cycle prediction tool which is based on the space-variant transition probability matrix obtained from an actual vehicle speed dataset. Then, a vehicle and an engine model is developed to predict the engine performance depending on the calibration for the estimated driving cycle. Finally, a controller is proposed which adapts the start-of-injection calibration map to fulfil the [Formula: see text] emission constraint while minimising the fuel consumption. The calibration is adapted during a predefined time window based on the predicted engine performance on the estimated cycle and the difference between the actual and the constraint on engine [Formula: see text] emissions. The method assessment was done experimentally in the engine test set-up. The engine performace using the method is compared with the state-of-the-art static calibration method for different [Formula: see text] emission limits on real driving cycles. The online implementation of the method shows that the fuel consumption can be reduced by 3%–4% while staying within the emission limits, indicating that the estimation method is able to capture the main driving cycle characterstics.

Low Cost Engine Management System (EMS) for the Cost Sensitive Two-Wheeler Application: Idle Speed and A/F Ratio Control Using PID and Fuzzy Logic Control Algorithms

2007 ◽  
Author(s):  
P. V. Manivannan ◽  
A. Ramesh
Keyword(s):  
Fuzzy Logic ◽  
Fuel Consumption ◽  
Fuzzy Logic Controller ◽  
Low Cost ◽  
Engine Management System ◽  
Position Sensor ◽  
Idle Speed ◽  
The Cost ◽  
Two Wheeler ◽  
Speed Fluctuations

In this work an Engine Management System (EMS) using a low cost 8-bit microcontroller specifically for the cost sensitive small two-wheeler application was designed and developed. Only the Throttle Position Sensor (TPS) and the cam position sensor (also used for speed measurement) were used. A small capacity 125CC four stroke two-wheeler was converted into a Port Fuel Injected (PFI) engine and was coupled to a fully instrumented Eddy Current Dynamometer. Air-fuel ratio was controlled using the open loop, lookup-table [speed (N) and throttle (α)] based technique. Spark Time was controlled using a proportional / fuzzy logic based close loop control algorithm for the idle speed control to reduce fuel consumption and emissions. Test results show a significant improvement in engine performance over the original carbureted engine, in terms of fuel consumption, emissions and idle speed fluctuations. The Proportional controller resulted in significantly lower speed fluctuations and HC / CO emissions than the fuzzy logic controller. Though the fuzzy logic controller resulted in low cycle by cycle variations than the original carbureted engine, it leads to significantly higher HC levels. The performance fuzzy logic can be improved by modifying the membership function shapes with more engine test data.

Solving Environmental Problems by Recycling the Cut Chalk To Lime in a Rotating Furnace

2021 ◽  
Vol 25 (2) ◽  
pp. 48-53
Author(s):  
B.P. Yur’ev ◽  
V.A. Dudko
Keyword(s):  
Specific Heat ◽  
Fuel Consumption ◽  
Rotary Kiln ◽  
Thermodynamic Calculation ◽  
Environmental Problems ◽  
High Quality ◽  
Heat Of Decomposition ◽  
Rotating Furnace ◽  
Optimal Fuel Consumption

A technology of processing chalk from the Lebedinskoye deposit into high quality lime by roasting in a rotary kiln is proposed. A procedure has been developed for the thermodynamic calculation of the specific heat of decomposition of carbonates contained in chalk. The material and heat balances of the operating rotary kiln have been compiled. All the main parameters of its operation and the optimal fuel consumption for chalk processing have been determined.

A Novel Automotive Transmission Clutch Control Mechanism

2009 ◽  
Author(s):  
Mohd Azrin Mohd Zulkefli ◽  
Xingyong Song ◽  
Zongxuan Sun ◽  
Hsu-Chiang Miao
Keyword(s):  
Control Mechanism ◽  
Feedback Mechanism ◽  
Open Loop ◽  
Proper Function ◽  
Position Sensor ◽  
Internal Feedback ◽  
System A ◽  
Automotive Transmission ◽  
Feedback Structure ◽  
Clutch Control

Clutch fill control is critical for automotive transmission performance and fuel economy, including both automatic and hybrid transmissions. To ensure proper function of the transmission systems, it is important to have a precise and robust clutch fill process. Current clutch fill control is realized in an open loop fashion, due to the lack of a pressure or position sensor in the clutch chamber. To improve the accuracy and robustness of this system, a new clutch control mechanism is proposed, which includes an internal feedback structure without a pressure or position sensor. First, the design and working principles of the new mechanism are presented. Second, the advantages of the internal feedback mechanism are analyzed and shown to be superior to the traditional clutch fill mechanism. To this end, the dynamic model of the new mechanism is formulated. Through a series of simulations and case studies, the new clutch control mechanism is demonstrated to be effective, efficient, and robust for solving the clutch fill and engagement control problem.

scholarly journals Optimal and prototype dimensioning of 48V P0+P4 hybrid drivetrains

2020 ◽  
Vol 5 (3-4) ◽  
pp. 173-186
Author(s):  
Matthias Werra ◽  
Axel Sturm ◽  
Ferit Küçükay
Keyword(s):  
Fuel Consumption ◽  
Urban Areas ◽  
Combustion Engine ◽  
Electric Machine ◽  
Prototype Model ◽  
Vehicle Speed ◽  
Conventional Vehicle ◽  
Light Duty ◽  
Consumption Reduction ◽  
And Performance

Abstract This paper presents a virtual toolchain for the optimal concept and prototype dimensioning of 48 V hybrid drivetrains. First, this toolchain is used to dimension the drivetrain components for a 48 V P0+P4 hybrid which combines an electric machine in the belt drive of the internal combustion engine and a second electric machine at the rear axle. On an optimal concept level, the power and gear ratios of the electric components in the 48 V system are defined for the best fuel consumption and performance. In the second step, the optimal P0+P4 drivetrain is simulated with a prototype model using a realistic rule-based operating strategy to determine realistic behavior in legal cycles and customer operation. The optimal variant shows a fuel consumption reduction in the Worldwide harmonized Light Duty Test Cycle of 13.6 % compared to a conventional vehicle whereas the prototype simulation shows a relatively higher savings potential of 14.8 %. In the prototype simulation for customer operation, the 48 V hybrid drivetrain reduces the fuel consumption by up to 24.6 % in urban areas due to a high amount of launching and braking events. Extra-urban and highway areas show fuel reductions up to 11.6 % and 4.2 %, respectively due to higher vehicle speed and power requirements. The presented virtual toolchain can be used to combine optimal concept dimensioning with close to reality behaviour simulations to maximise realistic statements and minimize time effort.

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