The research in this paper is based on an overview of BEV energy technologies in the context of a range of issues such as climate warming, air pollution, and energy crisis.

In this article the authors analyze multi-year commercial vehicle and battery data collected from onboard data loggers in a field test conducted from 2014 to 2016.

The authors propose a novel dynamic navigation and charging strategy that takes into account the interconnected traffic and power distribution networks.

Assesses the impact of varying battery sizes on the real-world energy consumption, cost of ownership, and life-cycle emissions of electric vehicles.

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.

This master thesis project analyses how an increased number of electric vehicles would affect the electric network in Stockholm. The project was started in order to help Ellevio, the DSO of Stockholm, understand how to manage the increased amount of requests of network-capacity connected to electric vehicle charging.