Intelligent and Connected Vehicles reduce cost, improve safety, and enhance comfort relative to isolated vehicles. This ability for cars to sense, infer, and act facilitates data-driven improvements in occupant experience and vehicle design. This thesis explores informed individual vehicle improvements and proposes a secure and efficient architecture supporting connected vehicle applications. Applying On-Board Diagnostic and smartphone data, I built a suite of prognostic applications. Engine coolant temperature data supports inference of oil viscosity and remaining life. A linear SVM using Fourier, Wavelet, and Mel Cepstrum audio features provides 99% accurate engine misfire detection. PCA-transformed Fourier acceleration features and GPS data inform decision trees attaining 91% wheel imbalance and 80% tire pressure and tread depth classification accuracy. These applications demonstrate the ability for local vehicle and peripheral device data to proactively improve individual vehicle reliability and performance. Connectivity facilitates crowdsourced data to further improve current vehicles and future designs. Exploring vehicular connectivity, I consider data timeliness, availability and bandwidth cost in the context of an efficiency-improving idle time predictor. This predictor uses contextual information to eliminate short idle shutoffs in Automatic Engine Start/Stop systems, minimizing driver annoyance and improving compliance. These applications reveal an opportunity to address excess resource consumption and system insecurity in Connected Vehicles and other constrained devices. I introduce a secure and efficient model-based Internet of Things (IoT) architecture consisting of a “Data Proxy” utilizing a Cloud-run estimator to mirror an object with limited sensor input. The use of digital duplicates abstracts physical from digital objects, allowing the use of a mediating “Cognitive Layer” consisting of firewall and supervisory elements. These “Cognitive” elements apply the system model to monitor system evolution and simulate the impact of commands against known and learned limits.

Data proxies, the cognitive layer, and application locality : enablers of cloud-connected vehicles and next-generation internet of things

In order to study the fatigue, 13° impact and 90° impact performance of wheel and propose a wheel structure design and optimization method based on these performance, taking a 16×612J type wheel as...

Multi-objective optimization design of wheel based on the performance of 13° and 90° impact tests

Impact tests of wheels of road vehicles: A comprehensive method for numerical simulation

Wheels are an important component in the vehicle. The strength of the Alloy wheel rim is an important property of the Alloy wheel, which plays an important part in determining the overall performance of the vehicle, the structural integrity of the rim and the life of the Alloy wheel rim. With the advent of new Alloy wheel materials, new options are available to replace the conventional Aluminium Alloy wheels with new ones. The new Alloy wheel rim material and design need to be tested virtually for optimizing the appropriate design and material and the optimised wheel in virtual mode can be tested experimentally for the performance in real-time conditions before they can be used in the vehicles. The work in this project includes doing the impact and modal analysis for different alloy wheel compositions. From the results obtained, the optimum alloy wheel is suggested, which can be considered with further experimental validation.

https://iopscience.iop.org/article/10.1088/1757-899X/263/6/062074/pdf

Impact and modal analysis for different alloy wheel compositions

Gas movers with low fractional rise of pressure are discussed. These devices are fans (subsuming the term blower) and are of two types, centrifugal and axial. For both types, the principles are presented including the derivation and application of the important rules of affinity. The relation is shown between vendor specification and fan performance. The variety of fan geometries is surveyed and the interaction is examined between a fan and other process components upstream and downstream. Also reviewed are essential auxiliaries, namely fan drives, flow conditioners, noise and vibration controls, and drive seals.


Keywords:

fans;
blowers;
gas mover;
axial fan;
centrifugal fan

Fans and Blowers

Numerical Simulation of Tire and Wheel Assembly Impact Test Using Finite Element Method

The failure mode and effect analysis method has been used to study the failure modes and its root cause and to give a clear idea about priorities while developing a new product or modifying the existing product. In this study, we have used the FMEA approach for litter picker machine in the design and development phase. In this study, we have applied the holistic system thinking to deconstruct the whole system into subassembly and then into parts. Finding failure mode for each part based on field failure data and given severity. Referring to RPN values, potential failure modes and its root causes are prioritized. By highlighting less reliable parts of the system, the spread of problem identifying process is reduced. It is ultimately focusing on the exact root cause of potential failure modes.

Girish Kotwal

Papers

Numerical Simulation of Tire and Wheel Assembly Impact Test Using Finite Element Method

Failure Modes and Effects Analysis (FMEA) for Litter Picking Machine

Development of low-cost technology for nano-polishing of aluminum