MSc project L.B. Ekermans

Smart dynamic charging for electric vehicles for the Smart Grid V2X Energy & Mobility project

L.B. Ekermans


Since there is an increasing number of hybrid and electric vehicles (EV's) there is an increasing amount of battery power connected to the electricity grid. This can be used for Dynamic Energery Management (DEM) to balance the electrical grid better. Balancing the electricity grid becomes more and more an issue with an increasing of amount green energy sources, like PV's. The possibilties for Dynamic Energy Management with EV's are currently being researched witin the Smart Grid v2X Energy & Mobility project.

The Smart Grid V2X Energy & Mobility project is a 3 year research project to gain knowledge on and experience with DEM with EV's, as well as to develop a cloud-level interface to control vehicle to grid (V2G) activities. The latter will be accomplished with SLEM (Smart Local Energy Management). SLEM is the only DEM product which combines functionalities of peak shaving and load shaping as well as allowing participation on the day ahead spot market and reserve market. Through it's role as co-developer, Cofely has already gained great experience on DEM with industrial asets, and now wishes to extend SLEM by also incorporating batteries into the optimization algorithms to allow both express and smart charging. For this, SLEM needs to control batteries and interface with the battery's controlling system.


The graduation project at Cofely will be part of the Smart Grid V2X Energy & Mobility Project. Part of the project will be researching and gaining insight into the optimization of batteries with regard to DEM, data communication and cloud solutions. The key focus of the graduation project will be designing the control systems for the batteries. However, the project is performed in cooperation with a team, to improve the SLEM cloud solution. This includes participation in partner meetings, design/alteration of optimization flows, designs/improvement of user interfaces and work on the control systems for the batteries.

The control system should control the desired charge rate of the EV to get a balance between electricty cost, grid load, battery lifetime and comfort, depending  on e.g. battery status, battery charge, power consumption, power production, electricity price and the user's use-schedule for the car. This desired charge rate is sent to the charge unit and there translated into actual charge power.

The following steps for the project are suggested:

  1. Getting acquainted with the project and determining the requirements.
  2. Modelling the system in CIF (battery, PV's, household, user-interphases and data-inputs).
  3. Iteratively designing a proposed controller.
  4. Verification of the controller
  5. Rewriting the controller to a usable language.