This research aims to model, simulate and optimize the components of the Solar Fuel Cell Battery Hybrid Electric Vehicle (SFCHBEV) system. the objective is realized in three steps: design and development of SFCBHEV system, development of an intelligent energy management system, and optimal component sizing of the system using meta-heuristic algorithms.

The study attempts to addressed key challenges for the deployment of the wireless charging system such as poor coupling coefficient between the transmitter and receiver, misalignment between the transmitter and receiver power pads, foreign object interruption .

This thesis involves designing an autonomous micro-electric vehicle, a controller design, and implementing it on single-board controllers.

This master thesis report has studied several methods to improve the energy consumption of an electric vehicle equipped with two permanent magnet synchronous motors. Two driving torque distribution maps are developed based on efficiency map and load transfer, respectively. The drive torque distribution map based on the efficiency map shows up to 8.94% energy saving.

The study results obtained from simulations show that a mobile autonomous charging station can provide many benefits. Apart from having a low upfront investment cost as compared to static chargers, a smart mobile charger also has reduced upgradation costs and allows greater flexibility.

The objective of this dissertation is to provide a robust analytical approach for supporting policymaking in prioritizing EV deployment to achieve both the environmental and economic goals. These findings help understanding of the spatiotemporal application of EV automotive and battery technologies from both the economic and techno perspective.

In the present dissertation the impact of the regenerative braking function and the low noise emission on the driver are examined in detail. In the present dissertation both BEV specific features are examined from a psychological perspective. Regenerative braking, as a system to regain energy during deceleration, is implemented in most vehicles with electric power trains. This could have enduring consequences on driver behavior.

The study aims at analyzing the control domain in electric mobility and discussing the design of the controller that drives the motor, allowing its driving and braking, with the ability to regenerate braking energy for recharging the batteries. The system should be capable of working without speed or position sensors.

This thesis presents the application of robotics for the disassembly of electric vehicle lithium-ion battery (LIB) packs for recycling. Electric vehicle battery systems can be expensive and dangerous to disassemble, therefore making it cost inefficient to recycle them currently.

In this thesis a hybrid electrical powertrain called the Four Quadrant Transducer (4QT) has been evaluated through different driving simulations, which later resulted in the manufacture of a prototype. The simulation of a 12 metric ton distribution truck showed that the 4QT system can reduce the fuel consumption by approximately 30 % during the FTP75 drive cycle.