Archive for month: July 2019

Cross-CPP Early Prototype Results Presented at AI Expo Korea 2019

Cross-CPP Early Prototype Results Presented at AI Expo Korea 2019

Cross-CPP Early Prototype results have been presented and discussed at the AI Expo Korea 2019 in Seoul. The Brno University of Technology shared its booth with the Czech government agencies CzechInvest and CzechTrade at the AI Expo, July 17-19, 2019. Several visitors from large Korean companies (including those that make their business in the automotive and smart building sectors) have been interested in the preliminary results of the big data analytics and would follow project future development.

Future Siemens E-charger Services Enabled by Cross-CPP

Future Siemens E-charger Services Enabled by Cross-CPP

Siemens service scenario is related to e-mobility which is of a great business interest today. Our desired service is built on data exchange between vehicles and buildings. It provides end-users (vehicle drivers) most suitable e-chargers according to their needs and building capabilities.

The idea of this service is to send simple information about the presence of a charging station inside a building or outside (public parking lots, airports, hospitals) to the vehicle

 

Using real-time data in the communication with a car/building about the occupancy of e-charges in a way that the vehicle would send out its own information about its capacity of the battery. This together with its current position and speed could possibly calculate the time of arrival and to reserve an e-charger for this specific car. Within the scope of the project, such a reservation will be done manually by the vehicle driver via the application.

 

Besides the actual connection to the socket and battery status of the car, there is also considered the energy performance of the building. It is not possible to unlimitedly charge vehicles without considering own power consumption of the building, expected power load or input power.

Energy outcome has to be decentralized in order to sufficiently satisfy multiple users. We have to avoid the situation that on the one hand customer fully charges the vehicle and on top is blocking the socket for other users and on the other hand there is not enough energy to charge rest of the customers. Energy has to be divided accordingly and energy flow controlled systematically.

 

Putting together vehicle information and requirements, energy will be distributed based on a scheme chosen by the service provider (first comes, first serves – charges vs. fair distribution to those in need – 2% battery left take precedence over 80% charged, etc.)

Indication about finishing the charging will be available in the marketplace coming from vehicle based on its movement and as well there will be information from the building, that the e-charger is unplugged.

After evaluation of this other and requisite, e-charger will be again considered for next customer as available.

No more encounters with unexpected snow-storms: The Cross-CPP project paves the way for innovative applications and services

No more encounters with unexpected snow-storms: The Cross-CPP project paves the way for innovative applications and services

Cleverly combined:

The future of mobility is our biggest passion. We are determined to make come alive for you and – more importantly – usable! The Cross-CPP project will make numerous new applications and services conceivable!

For example, could you imagine that your vehicle contributes to predicting the weather for others? When you are on the road with your Volkswagen, your vehicle provides various information: You are informed about outside temperature and a rain sensor detects the intensity of rainfall so that your wipers adapt accordingly. Even the electronic stabilization program (ESP) might the activated automatically. This kind of information sure come in handy for you personally, but they are even more useful when combined with other vehicle data!

 

In doing so, applications can create weather reports for your planned route ahead. And in case transmitted data of others indicates weather risk, the system can suggest alternatives to your prior planned route. A real milestone in autonomous driving!

Sounds convenient? Applications that result from the EU-funded Cross-CPP project could look quite similar: The project links data of various industry representatives. Besides Volkswagen, companies like Siemens participate in the funded project, providing information that exemplarily circles around the automatization of buildings or charging infrastructure.

The graphic above illustrates the corresponding process:

  1. Product manufacturers and additional partners generate and transmit data.
  2. Data is harmonized into CPP-Format.
  3. Data is saved and at disposal on a Cloud.
  4. Depending on the desired service, data is made accessible and usable.
  5. That way new applications and services develop, benefiting all of us.

The usage of data through different cooperation partners and the standardized format of data offer many possibilities within the range from “helpful” to “entertaining”. Locating charging infrastructure for electric vehicles and notifications for rest charging times are only a few examples for further possible applications.