By Jan Fischer-Wolfarth, Gereon Meyer
The vehicle goes throughout the largest transformation in its historical past. Automation and electrification of cars are anticipated to let more secure and purifier mobility. The customers and standards of the long run vehicle have an effect on ideas in significant expertise fields like driving force guidance structures, motor vehicle networking and drivetrain improvement. shrewdpermanent platforms similar to adaptive ICT parts and MEMS units, novel community architectures, built-in sensor structures, clever interfaces and practical fabrics shape the root of those positive aspects and allow their profitable and synergetic integration. it's been the venture of the overseas discussion board on complex Microsystems for automobile functions (AMAA) for greater than fifteen years to notice novel developments and to debate the technological implications from early on. as a result, the subject of the AMAA 2014 can be “Smart platforms for secure, fresh and automatic Vehicles”. This ebook comprises peer-reviewed papers written via best engineers and researchers which all deal with the continuing learn and novel advancements within the field.
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Extra resources for Advanced Microsystems for Automotive Applications 2014: Smart Systems for Safe, Clean and Automated Vehicles
Calculations are based on eFuture project  prototype vehicle described in . 3 Energy Storage System The Energy Storage System (ESS) is a lithium-ion (NCM chemistry) battery developed as a part of the eFuture project by Miljøbil Greenland AS. From the energy calculation point of view, the battery is an energy storage device which supplies or accepts the requested current at the present battery voltage and efficiency. The model is based on a virtual circuit as defined in  which represents the battery capacity, internal resistance and transient behavior of the battery.
An LDM). This information can be made available to multiple parallel applications. The layer-based architecture decouples applications from low-level interfaces and enables developers to implement application logic relying on information and its confidence instead of low-level data from sensors. Based on the defined architecture an unique test and demonstration vehicle was instrumented for developing and evaluating cooperative and automated ADAS applications. The technology is integrated into a Toyota Prius and uses ITS-G5 communication, radar and camera sensors, information fusion, object tracking and control algorithms.
A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management. In: 44th IEEE Conference on Decision and Control, 2005 and European Control Conference, CDC-ECC 2005, December 12-15, pp. : Energy Management Strategies for Plug-in Hybrid Electric Vehicles. Master of Science Thesis, Report No. org/node/21 (retrieved January 21, 2014) Layer-Based Multi-Sensor Fusion Architecture for Cooperative and Automated Driving Application Development( Maurice Kwakkernaat, Tjerk Bijlsma and Frank Ophelders Abstract.