ZURICH, SWITZERLAND -- IBM Research said it has teamed with EKZ, the electricity utility provider of the Canton of Zurich in Switzerland, on a new pilot project that will allow consumers to use smart phones and other mobile devices to charge electric vehicles and monitor energy costs.
This near real-time information will also help utility providers better manage power grid loads during peak charging times – a challenge that is set to grow as more electric vehicles are on the road.
The pilot combines a Web-based application designed and developed by IBM scientists in Zurich and a data-recording device created by the Zurich University of Applied Sciences (ZHAW). The device, roughly the size of a phonebook, was installed in several electric vehicles, including a Renault Twingo.
The device can collect information on the vehicle’s battery charge level, location and power source.The data are transmitted via a cellular network to an IBM cloud based on IBM BladeCenters running DB2 and WebSphere.
This monitoring capability not only benefits the user but also provides utility providers with further insight into energy generation and consumption.
To view a video about the app, click here.
IBM said the project has the potential to contribute to Switzerland's energy policy goal of increasing the proportion of electricity produced from renewable energy by 5,400 gigawatt hours (GWh), or 10 percent of the country's present-day electricity consumption, by 2030.
According to the latest statistics available, approximately 55.6 percent of Switzerland's overall electricity production comes from renewable sources, with hydropower by far the biggest contributor at more than 96 percent.
“Electric vehicles can be used to buffer the irregular production of electricity from future renewable sources, which will contribute to the overall stability of the electrical network,” said Peter Franken, head of EKZ’s energy distribution department and executive management member. "With this project we can show how electric vehicles can create a balance between supply and demand for smarter energy grids."
The IBM app runs on most smartphones, tablets and Web browsers, and provides an integration point between the vehicle, the utility provider and the driver. Using a simple four-button interface, the app shows the vehicle’s battery level, range of travel distance, vehicle location, charge schedule and current energy costs in real time.
“This service will make electric vehicles more attractive to consumers by taking into consideration their preferences, while still factoring in cost and overall convenience,” said Dieter Gantenbein, leader of the smart grid research project at IBM Research – Zurich. “In this pilot, the real-time analysis of supply and demand together with a control algorithm will create a dynamic incentive for a sustainable way to charge an electric vehicle’s battery, putting us another step closer to establishing a cleaner transport system.”
Whether at home, in the office or thousands of miles away, electric vehicle owners can quickly consult their mobile device to check whether their car’s battery level is sufficient for its next use. Another advantage of the app is that it can be programmed to start battery charging at a future point in time -- for example, when rates are lowest or when a trip is planned.
The IBM app also allows vehicle owners to delegate the responsibility of recharging the battery to the utility provider, which can schedule charges based on the availability of renewable resources, such as sun and wind. This allows the utility to improve load balancing and prevent outages. EKZ said it believes this will be a value-added service that will gain more significance as electric vehicles become prevalent.
To analyze the programmed charging process of electric vehicles with renewable energy, the pilot project takes real-time production data from photovoltaic solar panels located at EKZ’s facility in Dietikon. The data are transmitted to the cloud service. In this charge mode, the electric vehicle is charged when solar electricity is being produced. If less solar energy is being generated, the charging process can adapt automatically.