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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4336
Implementation of Data Acquisition System (DAQ) in an All Terrain
Vehicle (ATV)
Kamble Aniket1, Patil Mohit2, Chelkar Rajas3 , Biradar Krishnakant4 , Sarode Kewal5
1234B.E. Student, Dr. D.Y. Patil Institute of Technology, Pimpri , Pune – 411018 India
5 Assistant professor , Dr. D.Y. Patil Institute of Technology, Pimpri, Pune – 411018 India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - A Data acquisition is the process of sampling
signals that measure real world physical conditions and
converting the resulting samples into digital numeric values
that can be manipulated by a computer. The following texts
shows the information of the implementation of the Data
Acquisition System (DAQ) for all terrain vehicle. The
components of data acquisition systems include: Sensor (to
convert physical parameters to electrical signals), signal
conditioning circuit (to convert sensor signals that can be
converted into digital signal), Analog-to-digitalconverters(to
convert conditioned sensor signals to digital values). The
system measures various vehicle parameters by the use of
sensors plugged to a microcontroller.
Key Words: DAQ, All Terrain Vehicle (ATV), Buggy, sensor,
microcontroller
1.INTRODUCTION
An off-road vehicle is considered to be any type of
vehicle which is capable of drivingonandoffpavedorgravel
surface. It is generally characterized by having large tires
with deep, open treads, a flexible suspension or even a
caterpillar tracks. Other vehicles which do not travel public
streets or highways are generally termed off-road vehicles
including forklifts, tractors, golf carts, BAJA buggy etc.
ADataAcquisitionSystem(DAQ)isaninformationsystem
that collects, stores and distributes information. It is used in
industrial and commercial electronics, and environmental
and scientific equipment to capture electrical signals or
environmental conditions on a computer device. Thesystem
records signals from sensors,measuringphysicalvariablesin
an instant of time and then the data are stored in a memory.
We can obtain the following vehicle characteristics:1)
Efficiency and Performance: The development of the vehicle
on the track; the speed ratio of the gearbox, the efficiency of
an engine 2) Dynamic loads : The various forces acting on a
buggy during dynamicconditioncanbemeasuredinrealtime
data. 3) Dynamic: chassis relative changes as the speed, tilt,
longitudinal andlateral acceleration. An embeddedsystemis
a special-purpose computer system intended to execute one
or a few dedicated functions, frequently with real-time
computing restriction.
1.2 Data to be obtained.
In this paper we have covered following parameters which
needs to be validated while designing a vehicle in order to
reduce the errors and enhance the performance of a vehicle.
 RPM of primary and secondary shaft to a gearbox
 Cornering and bump forces acting on buggy in
dynamic conditions.
 Time taken by a buggy to cover 150ft distance in
various settings of a CVT.
2. DESIGN OF SYSTEM AND IMPLEMENTATION
The main objective of the project is to use digital system
including sensors and microcontrollers for calculating and
validating various design parameters of an ATV. By using
different sensors various parameters are recorded and
compared with the calculated ones. Following systems are
designed and implemented on ATV.
2.1 Gearbox primary and secondary shaft RPM
To calculate the RPM of primary and secondary shafts of
gearbox, a Hall-effect sensor with magnet (neodymium) is
used. The Arduino-UNO microcontroller is used for the
programming of the sensor. A magnet is placed on the
output shaft from the engine. The magnet is placed
accordingly so that it will be in indirect-line contact with the
sensor. As the shaft rotates, the sensor will record the
magnetic pulses coming from the magnet. The LCD screen
displayed the number of rotations by the shaft in RPM.
Fig. 1 : Side view of an ATV
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4337
Fig. 2 : Circuit diagram for RPM measurement
2.2 Road shocks measurement
To calculate road shocks (cornering and bump force) an
Accelerometer is used. Accelerometer consists of a
piezoelectric crystal whichworksonpiezoelectric effect.The
road shocks will generates a proportional force on the
piezoelectric crystal inside an accelerometer. This external
stress on the crystal then generates a high-impedance,
electrical charge proportional to the applied force and, thus,
proportional to the acceleration. The Arduino-UNO
microcontroller is used for the programming of the
accelerometer. A transmitter and receiver moduleisusedto
transmit and receive the data when the vehicle is in running
condition.
Fig. 3: Circuit diagram for road shocks measurement
2.3 Acceleration time for 150 feet distance
To calculate the time required for covering 150 feet
distance, a pair of Ultrasonic sensors is used. Ultrasonic
sensor sends an ultrasonic sound waves. The wavesthenget
reflected back from the object. One sensor is placed at start
point and one will be at end point. As the buggy was passed
by 1st sensor, the sensor actuate and it started timer. As the
buggy passed by 2nd sensor, it sent signal (via transmitter)
to the receiver end to stop the timer. In this way, we have
calculated the time required by buggy to cover the distance
of 150 feet. A transmitter and receiver module is used to
transmit the data.
Fig. 4 : Circuit diagram for calculating time to cover 150ft
distance
3. CALCULATIONS
3.1 Gearbox Input and Output RPM
To calculate the input and output RPM to a gearbox we
need to calculate the gearbox reduction ratio first. In
order to calculate the gearbox reduction ratio following
calculations have to be carried out.
- Air resistance (Ar) = ρ A V2
Where, ρ = density of air = 1.3 kg/cc
A = area of firewall of roll cage = 1.059 m2
V = maximum speed of vehicle = 16.67 m/s
Cd = air drag = 0.44
Ar = 0.5 1.3 1.059 (16.67)2 0.44
= 84.06 N
- Frictional force (Fr) = µr mg
Where, µr = coefficient of frictional resistance (for
loose sand) = 0.15
m = mass of vehicle = 200 kg
Fr = 0.15 200 9.81
= 294.3 N
- Gradability (Gr) = mg sinƟ
Where, Ɵ = angle of grade = 34.99o for 70% of
gradability
Gr = 200 9.81 sin(34.99)
= 1125.07 N
- Total drawbar pull (D) = Ar + Gr
= 84.06 + 1125.07
D = 1209.13 N
- Total resistance (Tr) = Ar + Gr + Fr
= 84.06 + 294.3 + 1125.07
- Torque on wheel (Tw) = Tr r
Where, r = radius of wheel = 0.283 m
Tw = 1503.436 0.286
= 425.93 N-m
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4338
- Total gear ratio ( CVT + Gearbox ):
ig =
where, ig = total gear ratio required
Te = engine torque = 18.75 N-m
Ƞ =overall efficiencyoftransmissionsystem
= 0.9
ig =
= 25.23
Now Gearbox reduction ratio is given by,
=
=
= 6.49 ≈ 7
Therefore, required reduction ratio of Gearbox = 7
1) Engine output RPM / Input RPM to Gearbox = 4200
2) RPM on output shaft = 4200/7 = 600
3.2 Bump Forces
Considering 3G method
Vehicle mass (including driver) = 200Kg
Now, Considering 3G method,
Bump Force = Mass Acceleration due to
gravity 3
= 200 9.81 3
= 6180.3 N
3.3 Cornering Forces
- On front wheels
Slip Angle (α) =
Where, Wf = Weight on front wheels of vehicle
= 86.25 Kg = 860.827 N
V = Max. Velocity of vehicle = 60 kmph
= 16.67 m/s
g = Acceleration due to gravity = 9.81
m/s2
R = Turning radius = 1.71m
C = Tire cornering stiffness
= 79920.10112
α=
= 0.0178 rad
= 2.03˚
Cornering force on front wheels
(Fy) = α C
= 0.0178 79920.10112
= 1437.184 N
4. TEST CAR AND IT’S SPECIFICATION
The test car used for this project is a student build ATV. It
is a rear wheel drive buggy with CVT system. It is powered
by Briggs And Stratton engine having 305cc and 10HP. It isa
petrol engine car with the speed limitation of 60kmph.
Fig. 5 : Test car
Test car Specifications
Dry Weight = 140 kg
Min. Weight with driver = 200 kg
Wheelbase = 46 inch
Wheel track = 50 inch
Engine = Briggs and Stratton
RPM limit = 4200 Rpm
5. EXPERIMENTATION
The basic purpose of the project is to validate calculated
data with recorded ones for the further enhancement and
improvement in the performance of the vehicle. First we
calculated values of above mentioned parameters using
various considerations. In order to select the sensors, a
detailed study of different sensors and microcontrollers is
done. After detailed study of sensors, we selected different
sensors to calculate different vehicle parameters.
The hall- effect sensor is used for the recording of input
and output RPM to the gearbox. For this purpose, sensor is
programmed accordingly. The max limit for input RPM was
set as 4200 RPM whereas the max limit for output RPM was
set as 600 RPM. The main considerationistorestrictthemax
RPM under the above mentioned limits.
The accelerometer is mounted on front left and right
knuckles. For calculations of bump forces, the buggy is run
on rough terrain and passed through some bumps and
droops. The max recorded value for bump forces is
compared with the theoretically calculated one. For
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4339
calculation of cornering force, the buggy is run on rough
terrain and is made to take sharp turns in order to find out
the max cornering force. The max recorded value for
cornering force is compared with theoretically calculated
one.
A pair of ultrasonic sensor is used to record the timetaken
by vehicle to cover 150 feet distance. For this purpose, one
ultrasonic sensor is placed at the start pointandanotherone
at the distance of 150 feet. The buggy is run several times
between this sensors using different CVT tunings in order to
find the best setting for getting min acceleration time.
6. RESULTS AND COMPARISON
Table -1: Comparison table
Sr.
no
Parameter Calculated
Value
Recorded
Value
1 Gearbox input
and output RPM
Primary shaft
RPM=
4200
Primary shaft
RPM=
4121
Secondary
shaft RPM =
600
Secondary
shaft RPM =
588
2 Bump Force On left
knuckle=
6180.3 N
On left
knuckle=
5808.2 N
On right
knuckle =
6180.3 N
On right
knuckle =
5800.12 N
3 Cornering force 1437.184 N 662.49 N
4 Acceleration time
to cover 150 feet
distance
- 5.4 sec
7. CONCLUSION
Data acquisition plays an important role in vehicle
engineering design, testing and fine-tuning. There are
innumerable combinations of signals, vehicle parameters,
and driving characteristics that can be measured at race
competitions or during practice sessions on the track. The
recorded data for bump forces and cornering forces acting
on knuckle is less than the theoreticallycalculatedone which
means the design for knuckle is safe. The output wheel RPM
is almost same as theoretically calculated one with some
minor losses. It means the calculations for RPM are upto the
mark. The acceleration time for 150ft can be reduced by
doing some iterations in the CVT tuning.
REFERENCES
[1] Vinoth Khanna.P,Krithika A,Revathi V – “Automobile
Data Acquisition And Processing System Based on Dual
CPU Architecture”, International Journal of Science,
Engineering and Technology Research(IJSETR),volume
2, issue 9, September-2013.
[2] Campos Vazquez, Escamilla Navaroz, Corona Ramirez -
“Data Acquisition System on an off road vehicle by a
programmable logic device”, IOSRJournal ofMechanical
and Civil Engineering (IOSR-JMCE), volume13, issue 6,
Nov.-Dec.-2016.
[3] Luciano Boquete, Jose Manuel Rodrigez,Rafael Baria,
Joaquain Quantos,Sergio Ortega,Juan Manuel Miguel –
“Data Acquisition , Analysis and Transmission platform
for a Pay-As-You Drive System”
www.mdpi.com/journal/sensors, issue 10, June-2010
[4] Vivek Kumar Pandey, Sparsh Kumar, Vimal Kumar,
Pankaj Goel- “A Review Paper on I2C Communication
Protocol”, International Journal of Advance Research,
Ideas and Innovations in Technology (IJARIIT) , volume
4, issue 2.
[5] Guido Lopez, Anthony Seaber – “Thetheoryand practice
of race vehicle data acquisition and analysis motorsport
engineering”, American Society for Engineering
Education (2009).
[6] Akshay G Bharadwaj, Suraj M, Lihith E, Karthik S –
“Design, Analysis, Simulation and Validation of
Suspension System for an Electric All-Terrain Vehicle
(ATV)”, International Journal of Innovative Research in
Science, Engineering and Technology(IJIRET),volume5,
issue 12, December-2016
[7] A. Muni Sankar, T. Devaraju, M. Vijaya Kumar, P.
Sudharshan, - “Design of High AccurateData Acquisition
System For Real Time Monitoring of Power Grid”,
International Journal of Scientific and Research
Publications, volume 7, issue 7, July-2017

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DAQ Implementation for ATV Parameter Measurement

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4336 Implementation of Data Acquisition System (DAQ) in an All Terrain Vehicle (ATV) Kamble Aniket1, Patil Mohit2, Chelkar Rajas3 , Biradar Krishnakant4 , Sarode Kewal5 1234B.E. Student, Dr. D.Y. Patil Institute of Technology, Pimpri , Pune – 411018 India 5 Assistant professor , Dr. D.Y. Patil Institute of Technology, Pimpri, Pune – 411018 India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - A Data acquisition is the process of sampling signals that measure real world physical conditions and converting the resulting samples into digital numeric values that can be manipulated by a computer. The following texts shows the information of the implementation of the Data Acquisition System (DAQ) for all terrain vehicle. The components of data acquisition systems include: Sensor (to convert physical parameters to electrical signals), signal conditioning circuit (to convert sensor signals that can be converted into digital signal), Analog-to-digitalconverters(to convert conditioned sensor signals to digital values). The system measures various vehicle parameters by the use of sensors plugged to a microcontroller. Key Words: DAQ, All Terrain Vehicle (ATV), Buggy, sensor, microcontroller 1.INTRODUCTION An off-road vehicle is considered to be any type of vehicle which is capable of drivingonandoffpavedorgravel surface. It is generally characterized by having large tires with deep, open treads, a flexible suspension or even a caterpillar tracks. Other vehicles which do not travel public streets or highways are generally termed off-road vehicles including forklifts, tractors, golf carts, BAJA buggy etc. ADataAcquisitionSystem(DAQ)isaninformationsystem that collects, stores and distributes information. It is used in industrial and commercial electronics, and environmental and scientific equipment to capture electrical signals or environmental conditions on a computer device. Thesystem records signals from sensors,measuringphysicalvariablesin an instant of time and then the data are stored in a memory. We can obtain the following vehicle characteristics:1) Efficiency and Performance: The development of the vehicle on the track; the speed ratio of the gearbox, the efficiency of an engine 2) Dynamic loads : The various forces acting on a buggy during dynamicconditioncanbemeasuredinrealtime data. 3) Dynamic: chassis relative changes as the speed, tilt, longitudinal andlateral acceleration. An embeddedsystemis a special-purpose computer system intended to execute one or a few dedicated functions, frequently with real-time computing restriction. 1.2 Data to be obtained. In this paper we have covered following parameters which needs to be validated while designing a vehicle in order to reduce the errors and enhance the performance of a vehicle.  RPM of primary and secondary shaft to a gearbox  Cornering and bump forces acting on buggy in dynamic conditions.  Time taken by a buggy to cover 150ft distance in various settings of a CVT. 2. DESIGN OF SYSTEM AND IMPLEMENTATION The main objective of the project is to use digital system including sensors and microcontrollers for calculating and validating various design parameters of an ATV. By using different sensors various parameters are recorded and compared with the calculated ones. Following systems are designed and implemented on ATV. 2.1 Gearbox primary and secondary shaft RPM To calculate the RPM of primary and secondary shafts of gearbox, a Hall-effect sensor with magnet (neodymium) is used. The Arduino-UNO microcontroller is used for the programming of the sensor. A magnet is placed on the output shaft from the engine. The magnet is placed accordingly so that it will be in indirect-line contact with the sensor. As the shaft rotates, the sensor will record the magnetic pulses coming from the magnet. The LCD screen displayed the number of rotations by the shaft in RPM. Fig. 1 : Side view of an ATV
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4337 Fig. 2 : Circuit diagram for RPM measurement 2.2 Road shocks measurement To calculate road shocks (cornering and bump force) an Accelerometer is used. Accelerometer consists of a piezoelectric crystal whichworksonpiezoelectric effect.The road shocks will generates a proportional force on the piezoelectric crystal inside an accelerometer. This external stress on the crystal then generates a high-impedance, electrical charge proportional to the applied force and, thus, proportional to the acceleration. The Arduino-UNO microcontroller is used for the programming of the accelerometer. A transmitter and receiver moduleisusedto transmit and receive the data when the vehicle is in running condition. Fig. 3: Circuit diagram for road shocks measurement 2.3 Acceleration time for 150 feet distance To calculate the time required for covering 150 feet distance, a pair of Ultrasonic sensors is used. Ultrasonic sensor sends an ultrasonic sound waves. The wavesthenget reflected back from the object. One sensor is placed at start point and one will be at end point. As the buggy was passed by 1st sensor, the sensor actuate and it started timer. As the buggy passed by 2nd sensor, it sent signal (via transmitter) to the receiver end to stop the timer. In this way, we have calculated the time required by buggy to cover the distance of 150 feet. A transmitter and receiver module is used to transmit the data. Fig. 4 : Circuit diagram for calculating time to cover 150ft distance 3. CALCULATIONS 3.1 Gearbox Input and Output RPM To calculate the input and output RPM to a gearbox we need to calculate the gearbox reduction ratio first. In order to calculate the gearbox reduction ratio following calculations have to be carried out. - Air resistance (Ar) = ρ A V2 Where, ρ = density of air = 1.3 kg/cc A = area of firewall of roll cage = 1.059 m2 V = maximum speed of vehicle = 16.67 m/s Cd = air drag = 0.44 Ar = 0.5 1.3 1.059 (16.67)2 0.44 = 84.06 N - Frictional force (Fr) = µr mg Where, µr = coefficient of frictional resistance (for loose sand) = 0.15 m = mass of vehicle = 200 kg Fr = 0.15 200 9.81 = 294.3 N - Gradability (Gr) = mg sinƟ Where, Ɵ = angle of grade = 34.99o for 70% of gradability Gr = 200 9.81 sin(34.99) = 1125.07 N - Total drawbar pull (D) = Ar + Gr = 84.06 + 1125.07 D = 1209.13 N - Total resistance (Tr) = Ar + Gr + Fr = 84.06 + 294.3 + 1125.07 - Torque on wheel (Tw) = Tr r Where, r = radius of wheel = 0.283 m Tw = 1503.436 0.286 = 425.93 N-m
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4338 - Total gear ratio ( CVT + Gearbox ): ig = where, ig = total gear ratio required Te = engine torque = 18.75 N-m Ƞ =overall efficiencyoftransmissionsystem = 0.9 ig = = 25.23 Now Gearbox reduction ratio is given by, = = = 6.49 ≈ 7 Therefore, required reduction ratio of Gearbox = 7 1) Engine output RPM / Input RPM to Gearbox = 4200 2) RPM on output shaft = 4200/7 = 600 3.2 Bump Forces Considering 3G method Vehicle mass (including driver) = 200Kg Now, Considering 3G method, Bump Force = Mass Acceleration due to gravity 3 = 200 9.81 3 = 6180.3 N 3.3 Cornering Forces - On front wheels Slip Angle (α) = Where, Wf = Weight on front wheels of vehicle = 86.25 Kg = 860.827 N V = Max. Velocity of vehicle = 60 kmph = 16.67 m/s g = Acceleration due to gravity = 9.81 m/s2 R = Turning radius = 1.71m C = Tire cornering stiffness = 79920.10112 α= = 0.0178 rad = 2.03˚ Cornering force on front wheels (Fy) = α C = 0.0178 79920.10112 = 1437.184 N 4. TEST CAR AND IT’S SPECIFICATION The test car used for this project is a student build ATV. It is a rear wheel drive buggy with CVT system. It is powered by Briggs And Stratton engine having 305cc and 10HP. It isa petrol engine car with the speed limitation of 60kmph. Fig. 5 : Test car Test car Specifications Dry Weight = 140 kg Min. Weight with driver = 200 kg Wheelbase = 46 inch Wheel track = 50 inch Engine = Briggs and Stratton RPM limit = 4200 Rpm 5. EXPERIMENTATION The basic purpose of the project is to validate calculated data with recorded ones for the further enhancement and improvement in the performance of the vehicle. First we calculated values of above mentioned parameters using various considerations. In order to select the sensors, a detailed study of different sensors and microcontrollers is done. After detailed study of sensors, we selected different sensors to calculate different vehicle parameters. The hall- effect sensor is used for the recording of input and output RPM to the gearbox. For this purpose, sensor is programmed accordingly. The max limit for input RPM was set as 4200 RPM whereas the max limit for output RPM was set as 600 RPM. The main considerationistorestrictthemax RPM under the above mentioned limits. The accelerometer is mounted on front left and right knuckles. For calculations of bump forces, the buggy is run on rough terrain and passed through some bumps and droops. The max recorded value for bump forces is compared with the theoretically calculated one. For
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4339 calculation of cornering force, the buggy is run on rough terrain and is made to take sharp turns in order to find out the max cornering force. The max recorded value for cornering force is compared with theoretically calculated one. A pair of ultrasonic sensor is used to record the timetaken by vehicle to cover 150 feet distance. For this purpose, one ultrasonic sensor is placed at the start pointandanotherone at the distance of 150 feet. The buggy is run several times between this sensors using different CVT tunings in order to find the best setting for getting min acceleration time. 6. RESULTS AND COMPARISON Table -1: Comparison table Sr. no Parameter Calculated Value Recorded Value 1 Gearbox input and output RPM Primary shaft RPM= 4200 Primary shaft RPM= 4121 Secondary shaft RPM = 600 Secondary shaft RPM = 588 2 Bump Force On left knuckle= 6180.3 N On left knuckle= 5808.2 N On right knuckle = 6180.3 N On right knuckle = 5800.12 N 3 Cornering force 1437.184 N 662.49 N 4 Acceleration time to cover 150 feet distance - 5.4 sec 7. CONCLUSION Data acquisition plays an important role in vehicle engineering design, testing and fine-tuning. There are innumerable combinations of signals, vehicle parameters, and driving characteristics that can be measured at race competitions or during practice sessions on the track. The recorded data for bump forces and cornering forces acting on knuckle is less than the theoreticallycalculatedone which means the design for knuckle is safe. The output wheel RPM is almost same as theoretically calculated one with some minor losses. It means the calculations for RPM are upto the mark. The acceleration time for 150ft can be reduced by doing some iterations in the CVT tuning. REFERENCES [1] Vinoth Khanna.P,Krithika A,Revathi V – “Automobile Data Acquisition And Processing System Based on Dual CPU Architecture”, International Journal of Science, Engineering and Technology Research(IJSETR),volume 2, issue 9, September-2013. [2] Campos Vazquez, Escamilla Navaroz, Corona Ramirez - “Data Acquisition System on an off road vehicle by a programmable logic device”, IOSRJournal ofMechanical and Civil Engineering (IOSR-JMCE), volume13, issue 6, Nov.-Dec.-2016. [3] Luciano Boquete, Jose Manuel Rodrigez,Rafael Baria, Joaquain Quantos,Sergio Ortega,Juan Manuel Miguel – “Data Acquisition , Analysis and Transmission platform for a Pay-As-You Drive System” www.mdpi.com/journal/sensors, issue 10, June-2010 [4] Vivek Kumar Pandey, Sparsh Kumar, Vimal Kumar, Pankaj Goel- “A Review Paper on I2C Communication Protocol”, International Journal of Advance Research, Ideas and Innovations in Technology (IJARIIT) , volume 4, issue 2. [5] Guido Lopez, Anthony Seaber – “Thetheoryand practice of race vehicle data acquisition and analysis motorsport engineering”, American Society for Engineering Education (2009). [6] Akshay G Bharadwaj, Suraj M, Lihith E, Karthik S – “Design, Analysis, Simulation and Validation of Suspension System for an Electric All-Terrain Vehicle (ATV)”, International Journal of Innovative Research in Science, Engineering and Technology(IJIRET),volume5, issue 12, December-2016 [7] A. Muni Sankar, T. Devaraju, M. Vijaya Kumar, P. Sudharshan, - “Design of High AccurateData Acquisition System For Real Time Monitoring of Power Grid”, International Journal of Scientific and Research Publications, volume 7, issue 7, July-2017