The optimization of electric drive systems for electric and hybrid vehicles depends on detailed data on vehicle use and powertrain performance. With the evolution of modern data acquisition and wireless communication technology, electric vehicles are able to capture and transmit large amounts of raw data in the field. However, these large, complex datasets are difficult to manage, process, and filter. Vehicle data is often sampled at different time scales, resolutions, and sample rates, each with its own degree of relevance. Engineers must spend excess time processing vehicle datasets in order to identify time segments and channels of importance. Mission Motors created a cloud-based data acquisition and visualization platform for streaming vehicle data, named Skyline. The Skyline platform catalogs data into a pre-structured database and then accesses that data through a novel visualization platform on the web. Through the Skyline platform, vehicle developers are able to visualize any combination of data acquisition channels at any resolution. Engineers are also able to flag segments of data in order to efficiently recall them at another time. Initial results from use of the Skyline system show that engineers are able to more efficiently process and identify critical data streaming from vehicles. The software technology within Skyline addresses the gap within current data acquisition and processing systems by providing engineers with a tool to handle vehicle specific, time resolved data. The acquisition and analysis of low-level data on batteries and powertrain system performance within an electric or hybrid vehicle can help to create more optimized system designs that better meet the needs of drivers. While vehicle data acquisition and telematics have improved to provide engineers with more vehicle data than ever before, engineers must still overcome the challenge of how to handle and process the data efficiently in order to inform vehicle specification and system design. Mission Motors developed Skyline as a cloudbased platform for processing and visualization of streaming vehicle data. Skyline is unique in the way it catalogs and stores data streamed to the server from a vehicle. The Skyline database architecture enables data to be processed at multiple sample rates and from multiple vehicles. The Skyline web client enables multiple users to easily view historical or real-time vehicle data through the web. Skyline has the potential to significantly improve the process of electric/hybrid powertrain development, optimization, and monitoring. Electric/hybrid vehicle design and optimization is a complex process balancing multiple variables affecting vehicle performance, reliability, and life. To properly understand electric powertrain performance, system data must be analyzed at both short time periods (seconds) and long time periods (days and months). The Skyline interface enables engineers to compare multiple channels of data at any time resolution and efficiently identify the most important data for use. This capability can be used to better understand complex problems such as vehicle battery life, vehicle-specific drive cycles, or real-time powertrain performance. The Skyline software platform can unlock the power of data from electric and hybrid powertrains, enabling us to create more optimized, higher performance, and more efficient drive systems. In the long-term, systems such as Skyline can form the basis for trend-based preventative maintenance, warranty risk mitigation, and battery financing.


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    Titel :

    Mission Skyline: Design, implementation, and benefits of a cloud-based electric powertrain data acquisition and visualization system


    Beteiligte:
    Bhattacharya, Jit (Autor:in) / LaForge, Seth (Autor:in) / Wagner, Jon (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2012


    Format / Umfang :

    8 Seiten, 9 Bilder



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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