This thesis project explores how V2X communication between electric vehicles (EV) and charging stations can be used to reduce en-route charging times. This is done using standardized V2X messages for EV charging, as well as proposing an extension to these messages to include data on the intentions of other vehicles. As individual vehicles can have significant effects on the total waiting time at EV charging stations, knowing the intentions of other vehicles will allow drivers to better avoid congested charging stations and achieve a lower total journey time. The performance of the system is evaluated using state-of-the-art traffic and communications simulators showing that using V2X can reduce journey times by 70%. Aside from demonstrating the performance using simulation the system has also been implemented on a real life test vehicle using functional V2X hardware to show that the system is viable for implementation.

For a steel company it is advantageous to be able to easily track steel through the production process. At Tata Steel this is currently done with the Material Tracking Table. However, generating this table takes months. Therefore a new system had to be developed. This paper describes the building of such a new system, which generates this Material Tracking Table in less than 1 hour, as well as the related systems concerning the acquisition of the input data and the visualisation of the resulting output data.