Welcome to Storage Systems based on Li-ion Batteries for Grid Support and Automotive Applications
Description:
The importance of the li-ion batteries is booming and after dominating portable electronics applications, they are entering into sectors like grid support, residential and electro mobility applications. 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 is divided into 4 days as follows:
DAY1: (Battery technologies and grid applications)
During that first day, state of the art on the energy storage technologies and power converter solutions will be provided with a special focus on the Li-ion batteries. Moreover, the services that the energy storage can provide for grid and residential applications will be discussed. This will be followed by a lecture on operating principles of li-ion batteries and review of different Li-ion battery technologies. The day will be finished by Matlab exercise on the sizing of storage in different stationary applications.
DAY2: (Modeling of Li-ion batteries)
The second day focuses on Li-ion battery performance testing and modeling. The day starts with an introduction to battery testing and characterization methods. Later, details of Li-ion battery electrical and thermal modeling will be presented. Finally, simulation studies in Matlab will be performed, where course participants will develop their own performance model of the li-ion battery.
DAY3: (Lifetime of Li-ion batteries)
The third day is dedicated to the ageing, performance degradation and lifetime estimation of Li-ion batteries. Ageing phenomena accelerated lifetime testing and lifetime modeling of Li-ion batteries will be covered. Moreover, methods of online battery state estimation, diagnostics and prognostics will be covered. The day will be closed by an industrial lecturer presentation.
DAY4: (Automotive applications)
The last day is devoted to automotive applications. Li-ion technologies for automotive applications will be discussed. Aspects related to li-ion battery management systems for vehicles will be covered. 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.
Prerequisites: Basic experience in Matlab/Simulink
Form of evaluation: Students are expected to solve a number of exercises and deliver a individual report with solutions and comments.
Organizer: Associate Professor Daniel Stroe - Aalborg University
Lecturers: Professor Remus Teodorescu - Aalborg University, Associate Professor Daniel Stroe - Aalborg University, Associate Professor Erik Schaltz - Aalborg University, Dr. Vaclav Knap – Aalborg University, Dr. Maciej Swierczynski – Lithium Balance
ECTS: 4
Time: 22-25 October 2019
Place:
City:
Number of seats: 30
Deadline: October 1 2019
Important information concerning PhD courses
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registration.
Description:
The importance of the li-ion batteries is booming and after dominating portable electronics applications, they are entering into sectors like grid support, residential and electro mobility applications. 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 is divided into 4 days as follows:
DAY1: (Battery technologies and grid applications)
During that first day, state of the art on the energy storage technologies and power converter solutions will be provided with a special focus on the Li-ion batteries. Moreover, the services that the energy storage can provide for grid and residential applications will be discussed. This will be followed by a lecture on operating principles of li-ion batteries and review of different Li-ion battery technologies. The day will be finished by Matlab exercise on the sizing of storage in different stationary applications.
DAY2: (Modeling of Li-ion batteries)
The second day focuses on Li-ion battery performance testing and modeling. The day starts with an introduction to battery testing and characterization methods. Later, details of Li-ion battery electrical and thermal modeling will be presented. Finally, simulation studies in Matlab will be performed, where course participants will develop their own performance model of the li-ion battery.
DAY3: (Lifetime of Li-ion batteries)
The third day is dedicated to the ageing, performance degradation and lifetime estimation of Li-ion batteries. Ageing phenomena accelerated lifetime testing and lifetime modeling of Li-ion batteries will be covered. Moreover, methods of online battery state estimation, diagnostics and prognostics will be covered. The day will be closed by an industrial lecturer presentation.
DAY4: (Automotive applications)
The last day is devoted to automotive applications. Li-ion technologies for automotive applications will be discussed. Aspects related to li-ion battery management systems for vehicles will be covered. 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.
Prerequisites: Basic experience in Matlab/Simulink
Form of evaluation: Students are expected to solve a number of exercises and deliver a individual report with solutions and comments.
Organizer: Associate Professor Daniel Stroe - Aalborg University
Lecturers: Professor Remus Teodorescu - Aalborg University, Associate Professor Daniel Stroe - Aalborg University, Associate Professor Erik Schaltz - Aalborg University, Dr. Vaclav Knap – Aalborg University, Dr. Maciej Swierczynski – Lithium Balance
ECTS: 4
Time: 22-25 October 2019
Place:
City:
Number of seats: 30
Deadline: October 1 2019
Important information concerning PhD courses
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registration.
- Teacher: Václav Knap
- Teacher: Erik Schaltz
- Teacher: Daniel-Ioan Stroe
- Teacher: Remus Teodorescu