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Interface fits e-vehicles into the smart grid By Christoph Hammerschmidt To connect electric vehicles to the power grid seamlessly, researchers from Fraunhofer ESK have specified and implemented the required communication interface. The aim is to create a system in which electric vehicles use and temporarily store energy. The charging station serves as an active node that communicates with the vehicle and an energy management system in the smart grid. The research activity is part of the EU-sponsored SMARTV2G project (smart vehicle-to-grid interface). Researchers are creating a consistent, manufacture-independent specification for the E-vehicle-to-charging station communication through ISO/IEC15118. This standard defines a comprehensive exchange of information that is essential for the “smart” charging process. Communication between the charging station and the smart grid will be based on an enhancement of the IEC 61850 global standard. With the development of this interface, Fraunhofer ESK researchers provide a significant contribution to the further development of the IEC61850- 90-8 specification, which to date has been available in draft form. By combining the two standards, the charging station is transformed into a node that integrates the electric vehicle charging process into the smart grid. 
 A demonstrator developed by the Fraunhofer researchers simulates the entire information chain, from the vehicle to the energy management system of a control centre. During this simulation a variety of information such as battery status, charging progress, charging mode, authentication data and price and payment information are exchanged among the participants. 
 The SMARTV2G (smart vehicle-to-grid interface) project is funded through the European Union’s Seventh Framework Program (FP7).
 Soft IP targets situational awareness radar sensors for driver-assist applications By Julien Happich EnSilica has launched a Constant False Alarm Rate (CFAR) soft IP core for use in situational awareness radar sensors for automotive driver-assist applications. The hardware accelerated CFAR IP is matched to EnSilica’s pipelined FFT IP core and, operating on continuous data at one bin per clock cycle, the combination of cores delivers a substantially reduced data set for analysis by the processor. The development of the CFAR IP also followed the guidelines necessary for integration with devices adhering to the ISO 26262 functional safety standard for road vehicles. Situational radar sensors can be used in a wide variety of driver-assist applications such as advanced electronic stability control systems, pre-crash impact mitigation, blind spot and lane departure detection, and self-parking. 1D and 2D-CFAR is used in these applications to identify relevant objects or targets from the background clutter of a radar image and tag them for further processing. As driver-assist applications grow in complexity, the challenge is processing all the available data while recognising that a very large percentage of the field of view does not contain relevant objects. The EnSilica CFAR IP coupled with a 2K point FFT can calculate and search over 200,000 Fourier Transforms per second, reducing the radar image to a manageable number of possible objects that are critical to the driver safety. The highly configurable EnSilica CFAR IP implements all the popular compute intensive algorithms, including GOSCA, GOSGO, GOSSO, CA, GOCA and GOSA, that would normally be applied in software and which involve real-time data transform, sorting and selection. The soft IP can be targeted for implementation in either FPGA or ASIC technologies to address a wide range of market segments. Electronic Engineering Times Europe December 2013 15

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