Industrial/Ph.D. Course from the 24th to 27th of October, 2017
Course information
Signup here https://phd.moodle.aau.dk/login/index.php
ECTS: 4
Time: 24-27 October, 2017
Place: Aalborg University, Pontoppidanstræde 111
Number of seats: 20
Deadline: 9th of October, 2017
Link to PhD course flyer
Registration
To register, you must create an account by filling out the form available at:
Signup here https://phd.moodle.aau.dk/login/index.php
You will be ready to register for course participation after you will receive an e-mail and confirm your registration.
Registrations close on October 9, 2017.
Background of the course
The importance of the li-ion batteries is booming and after dominating portable electronics applications, they are entering into new sectors like grid support applications and propelling of the electric vehicles. The penetration of renewables in the power system is considered to significantly increase in near future; thus, batteries can play a crucial role in the reliable and cost efficient grid integration of intermittent energy sources. Besides, the grid support applications, li-ion batteries have begun to play a major role in the automotive market. The use of batteries in automotive applications is a promising option in order to replace the internal combustion engine cars with ideally, zero emissions vehicles (full electric vehicles), or with controlled emission vehicles (hybrid electric vehicles and plug-in hybrid electric vehicles).
The course starts with an overview of electrochemical battery storage technologies with special focus on the lithium-ion batteries. Moreover, the services that the energy storage can provide for grid applications will be discussed. This will be followed by a lecture about lithium-ion batteries fundamentals and Matlab exercise on optimal sizing of storage in different stationary applications.
The second part focuses on lithium-ion battery technology performance modeling. Lithium-ion batteries laboratory testing and electrical and thermal performance modeling will be presented. Simulation studies in Matlab will be performed, where course participants will develop their own performance model of the Li-ion battery.
During the third day lifetime degradation, ageing phenomena, lifetime testing and lifetime modeling of lithium-
ion batteries will be covered. Moreover, lecture about emerging lithium based battery technologies will be provided.
The last day is devoted to automotive applications. Aspects related to li-ion battery management systems for vehicles will be covered together with methods of lithium-ion battery diagnostics and state estimation. Moreover, sizing and control of battery-powered vehicles will be addressed.
The fourth day will be finished with the exercise on li-ion battery powered vehicle.