This thesis will, in the main, deal with the more important technical developments of the automobile. It will attempt to report these developments as they affected the evolution of the motor vehicle, to show how they came about, and to set forth the conditions that influenced them.

The South African automotive industry is recognised as an important sector for the economy and has thus been prioritised by the South African government. The success of the automotive manufacturers depends on the efficiency and effectiveness of their supply chain. Due to the large number of suppliers involved in these supply chains, enhancing trust in the inter-organisational relationships can ensure the competitiveness of the supply chain. Additionally, insufficient trust can disrupt information sharing between supply chain partners which further impacts on supply chain operations and hence supply chain competitiveness. Thus, both insufficient trust and insufficient information sharing are viewed as contributing factors to the inefficiency and ineffectiveness of a supply chain’s operations. The use of Information Technology to facilitate inter-organisational relationships, in particular in terms of improving information sharing, is an important consideration in this research project. As in the Prisoner’s Dilemma, when supply chain members share information freely, trust levels are increased, hence supply chain effectiveness and efficiency is achieved and therefore the competitiveness of the supply chain is optimised. This study addresses the problem of enhancing trust in automotive supply chains using Information Technology. Previous studies have recognised the importance of trust and information sharing in supply chain relationships. These previous studies have also considered the effect of trust on information sharing, or the effect of information sharing on trust in a single direction. Thus, to address this research problem, a cyclical relationship between trust and information sharing is proposed. In this respect, Information Technology should be used to nurture this cyclical relationship between trust and information sharing. A model for the enhancement of trust in automotive supply chains through Information Technology is proposed to achieve the objectives of this research project. This model includes risk perception; information sharing as a means of enhancing trust; a trust area that consists of both supply chain partner trustworthiness and system trust; the resultant trusting behaviour; and the resultant improved information sharing. As this study is concerned with the use of IT to enhance trust, the inclusion of system trust as a component of the model is a significant contribution of this study which is complementary to the proposed cyclical relationship between trust and information sharing.

Advances in computing and wireless communication technologies have increased interest in smart vehicles, vehicles equipped with significant computing, communication and sensing capabilities to provide services to travelers. Smart vehicles can be exploited to improve driving safety and comfort as well as optimize surface transportation systems. Wireless communications among vehicles and between vehicles and roadside infrastructures represent an important class of vehicle communications. One can envision creating an integrated radio network leveraging various wireless technologies that work together in a seamless fashion. Based on cost-performance tradeoffs, different network configurations may be appropriate for different environments. An understanding of the properties of different vehicular network architectures is absolutely necessary before services can be successfully deployed. Based on this understanding, efficient data services (e.g., data dissemination services) can be designed to accommodate application requirements. This thesis examines several research topics concerning both the evaluation and design of vehicular networks. We explore the properties of vehicle-to-vehicle (v2v) communications. We study the spatial propagation of information along the road using v2v communications. Our analysis identifies the vehicle traffic characteristics that significantly affect information propagation. We also evaluate the feasibility of propagating information along a highway. Several design alternatives exist to build infrastructure-based vehicular networks. Their characteristics have been evaluated in a realistic vehicular environment. Based on these evaluations, we have developed some insights into the design of future broadband vehicular networks capable of adapting to varying vehicle traffic conditions. Based on the above analysis, opportunistic forwarding that exploit vehicle mobility to overcome vehicular network partitioning appears to be a viable approach for data dissemination using v2v communications for applications that can tolerate some data loss and delay. We introduce a methodology to design enhanced opportunistic forwarding algorithms. Practical algorithms derived from this methodology have exhibited different performance/overhead tradeoffs. An in-depth understanding of wireless communication performance in a vehicular environment is necessary to provide the groundwork for realizing reliable mobile communication services. We have conducted an extensive set of field experiments to uncover the performance of short-range communications between vehicles and between vehicles and roadside stations in a specific highway scenario.

Indiana University-Purdue University Indianapolis (IUPUI) / There is a strong urge for advanced diagnosis method, especially in high power battery packs and high energy density cell design applications, such as electric vehicle (EV) and hybrid electric vehicle segment, due to safety concerns. Accurate and robust diagnosis methods are required in order to optimize battery charge utilization and improve EV range. Battery faults cause significant model parameter variation affecting battery internal states and output. This work is focused on developing diagnosis method to reliably detect various faults inside lithium-ion cell using electrochemical model based observer and fuzzy logic algorithm, which is implementable in real-time. The internal states and outputs from battery plant model were compared against those from the electrochemical model based observer to generate the residuals. These residuals and states were further used in a fuzzy logic based residual evaluation algorithm in order to detect the battery faults. Simulation results show that the proposed methodology is able to detect various fault types including overcharge, over-discharge and aged battery quickly and reliably, thus providing an effective and accurate way of diagnosing li-ion battery faults.