For the broad commercial success of electric vehicles (EVs), it is essential to deeply understand how batteries behave in this challenging application. This thesis has therefore been focused on studying automotive lithium-ion batteries in respect of their performance under EV operation. Particularly, the need for simple methods estimating the state-of-health (SOH) of batteries during EV operati...

Due to demand for decreasing CO2 emission and improving fuel-efficiency of vehicles, research and development of electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) is being revitalized worldwide. In advance of widespread use of EVs and PHEVs, Europe, United States and Japan have cooperated and worked on the international standardization of the vehicle charging system. We have ...

I VINNOVAs publikationsserier redovisar forskare sina projekt. Publiceringen innebär inte aa VINNOVA tar ställning till framförda åsikter, slutsatser och resultat. Abstract Urban areas worldwide have long suffered from air pollution problems due to condensed population and high vehicle use. With no tailpipe fumes or engine oil drips, silence of operation, easiness of maintenance, and high-energ...

Modern automobiles are entirely controlled by electronic circuits and programs which undoubtedly exposes them to the threat of cyberattacks. Alongside, there is a potential for massive growth in electric vehicle (EV) adoption. The cyber vulnerabilities are magnified with electric vehicles because of the unique and critical risks that entail most EV batteries. EV battery packs provide ‘limited d...

This paper presents an integrative demand response (DR) mechanism for energy management of appliances, an energy storage system and an electric vehicle (EV) within a home. The paper considers vehicle-to-home (V2H) and vehicle-to-grid (V2G) functions for energy management of EVs and the degradation cost of the EV battery caused by the V2H/V2G operation in developing the proposed DR mechanism. An...

many studies have been done on hybrid vehicles in the past few years. the full hybrid vehicles need a large number of batteries creating up to 300 (v) to meet the required voltage of electric motor. the size and weight of the batteries cause some problems. this research investigates the mild hybrid vehicle. this vehicle includes a small electric motor and a high power internal combustion engine...

The electric vehicle (EV) charging control algorithm for energy cost optimization is proposed in this paper. A model predictive control (MPC) with linear programming (LP) is used for optimal control, and the time-of-use (TOU) price is included to calculate the energy costs. Simulation results show that the reductions of energy cost and peak power can be achieved using the proposed algorithms.

We propose decentralized algorithms for optimally scheduling electric vehicle (EV) charging. The algorithms exploit the elasticity and controllability of electric vehicle loads in order to fill the valleys in electric demand profiles. We first formulate a global optimization problem, whose objective is to impose a generalized notion of valley-filling, and study the properties of optimal chargin...

In this paper, we use data collected from over 2000 non-residential electric vehicle supply equipments (EVSEs) located in Northern California for the year of 2013 to estimate the potential benefits of smart electric vehicle (EV) charging. We develop a smart charging framework to identify the benefits of non-residential EV charging to the load aggregators and the distribution grid. Using this ex...