In this COVID -19 Pandemic Scenario, Public use cars as preferred mode of transport to avoid public mode of transports. In order to detect if a passenger has symptom of COVID-19, it is necessary to measure the Blood Oxygen level & body Temperature of all the passengers before boarding on to the Car. Our proposal uses a Oximeter setup & IR Temperature sensor on Outside Door Handle to measure the Blood Oxygen Level & Body Temperature of the passengers in order to detect if the passenger has any symptoms of COVID-19 virus (Passenger Safety) Blood Oxygen Level & Body Temperature Detection Integrated on Door Handle to detect symptoms of COVID-19 In Order to avoid the spread of this Pandemic, WHO has asked to Measure Temperature & Oxygen Levels at Public places to find the COVID Affected person. A COVID-19 Affected passenger travelling in a Taxi is more dangerous, as he may transmit the virus to the next person who will be travelling in the same Taxi.
Few occupants especially the taxi drivers generally keeps the seatbelt always connected and then sit on the seat. In this condition the seatbelt is connected but the drivers are not wearing it. They generally do this to avoid the beeping of seatbelt warning system. This system will prevent wrong usage of seatbelts to avoid the beeping of seat belt warning system. The seat belt warning system gets active when a passenger/co passenger do not wear the seat belt in the moving car. Our novel concept will prevent the misuse of seatbelt in any scenario. The smart seat belt seat belt system is achieved by use of force sensors above & below seat belts, & on driver seat. Once the Doors are unlocked and the driver sits on seat , only if seat belt is worn, the pressure on seat belt is applied on one side only. This achieves the logic that the person has worn a seat belt and thus many accidents that happens due to not wearing seat belts can be avoided.
The Gas leakage is one of the biggest problems with gas functioning vehicles like CNG (Compressed Natural Gas) buses, cars etc. One of the preventive methods to stop accidents associated with the gas leakage is to install a gas leakage detection device at leakage prone locations. In this paper a detailed design layout is prepared for implementing gas sensors with high sensitivity for Propane and Butane. A feedback mechanism is also implemented to alert the driver of as and when the concentration of CNG in air exceeds a certain level. The method developed here is based upon the LPG leak detection method which, also called GSM method, currently used in Home Automation System. The specifications for the MQ6 sensor used, such as accuracy, latency, sensing range and class are briefly discussed. The signals can be provided to the person by a buzzer or a signal indicator located on the dashboard of vehicle cabin.
All around the globe uncertain inside fire accidents & smoky interior environment happens in the car due to many reasons. During such unexpected situations, people get injured and sometimes even lives are lost because of unreliable door opening systems. In existing condition, door locking & unlocking is controlled by Body Control Module (BCM). Only during crash, Airbag Control Unit (ACU) sends signal to BCM & unlocks the door. This traditional method cannot overcome the emergency situation & No logic or method available to save passengers. This paper deals with easy escape method to open door glass & unlock door during such cases. A knob is attached to a mechanism which releases the Glass carrier from the Guide. Due to this glass free fall (OPEN) & hits contact sensor. Contact sensor sends signals to BCM for Door unlocking through transmitters. Here, there are 2 ways to escape (1st - Jumping out, 2nd - Come out through door).
The objective of this paper is to design and analyze the drive shaft tube of three piece propeller shaft system used in the commercial vehicle for power transmission. In this work attempt has been made for designing of convention shaft and also optimization of drive shaft with composite materials, the three piece drive shaft is designed to replace conventional steel drive shaft of an automobile using composite Materials. Laminated composites, with their advantage of higher specific stiffness, gained substantiality in the field of torque carrying structures through many applications. Composite drive shafts offer the potential of lighter and longer life drive train with higher critical speed. The design parameters were considered equal for both the material, optimized with the objective of minimizing the weight of composite drive shaft.
Lithium-Ion batteries are popular for use in EV applications. To improve and understand the use of Lithium-Ion batteries in EV application, present study focused and utilized equivalent circuit models. Model parameters are identified using pulse discharge test carried on 20AH Lithium Iron Phosphate cell. Curve-fitting technique is utilized and detailed procedure to extract model parameters is presented. Models are validated with experimental data of pulse discharge test. Accuracy obtained using 1-RC, 2-RC, 3-RC circuit models is verified and high accuracy of 3RC circuit model can make it act as a battery emulator. Extended Kalman Filter is utilized for estimation of State of Charge of Lithium Iron Phosphate cell. As per our understanding from literature, a good accuracy with low computational burden can be achieved with 1RC model parameters. Therefore, accuracy of SOC estimation using 1RC model parameters is analyzed and effect of initial error in SOC is also observed.
Clutch pedal spring is one of the most essential components in automobile transmission system. It helps in pedal travel and its return, and also for effective clutch engaging and disengaging action thereby helping in easy gear shifting. This paper deals with the reduction of the effort which is given by the user on the clutch pedal by effective spring assisting technique and also a provision to change the pedal geometry for improving the comfort of the user thereby reducing the fatigue. This paper also compares the performance of existing clutch pedal effort and the proposed clutch pedal effort by maintaining the travel distance.
Engine performance and emission control are key attributes in the overall engine development and sealing of the mating components plays an important role to achieve the same. Rubber gaskets are being used for sealing of different Internal Combustion (IC) engine components. Gasket sealing performance needs to be ensured at initial development stage to avoid the design changes at the later part of development cycle. Design changes at later stage of development can potentially influence parameters like optimization avenues, cost and time to market. Demand of utilization of virtual tools (front loading) is growing with the increasing challenges like stringent product development cycle time and overall project cost. This paper describes a procedure to simulate the rubber gasket and groove for different material conditions (dimensional tolerances). This entire simulation is divided into two phases. In the first phase of the simulation, Load Deflection curve (LD curve) is established.
Two poster rigs are indoor testing machine used to analyse the dynamics of two-wheeled vehicles. Road loads are given to the tyres/axles through the actuators with the help of servo-hydraulic systems to estimate fatigue life cycles. Drive file is the input that is to be given to the servo-hydraulic system for getting road surface profile on the tyre. This study describes the generation of two poster drive file for the road load simulation in the CAE environment before the development of a vehicle prototype. Altair Motionsolve is used as the tool for the simulation. Motorcycle models and two poster rig mechanisms are modelled in Motionview. From the test track data, an initial drive file is generated and fed into the MBD model. The response of the vehicle in front axle rear axle accelerations, suspension deflection are measured and compared with the test data. The drive file is modified by iteration till the desired correlation from testing is achieved.
This paper describes methodology followed for theoretical bending and pitting life analysis of heavy-duty truck axle hypoid gear set. Effort has been made to establish co-relation between hypoid gear life based on duty cycle simulation on test axle in in-house developed test axles rig with life calculation results obtained from theoretical analysis using Gleason CAGE and FEA tool. RLDA data is acquired on loaded truck and duty cycle is made which is used in both experimental as well as theoretical analysis. Methodology for accelerated testing has been concluded and correlation with the service data is being established.
Bogie-type suspensions for trucks are comprised of two axles and a central spring pack on each side of the truck chassis. Bogie suspensions have a good load distribution between the axles and are used for severe applications in trucks, in off-road conditions thereby subjecting them to extreme stain and load. In today’s competitive market scenario, it of utmost importance to minimize down time in commercial vehicles as it directly corresponds to loss in business which leads to customer dissatisfaction. It is therefore essential to optimize and select the right material for each component in the bogie suspension system. This paper deals with the material selection and testing of one such component - Bogie Wear Pad. The bogie wear pad undergoes sliding friction throughout its lifetime during loading and unloading of bogie suspension. Three different materials are selected and their wear is measured under the same conditions of loading.