Data logger provides insights to vehicle usage
The data logger will be installed in the vehicle over weeks and months. During this periodit collects and stores all relevant operational data. Thus it helps developers and researchers to generate usage-specific evaluations, including features like route profile or driving style.
The analysis allows conclusions regarding the usage of the vehicle and forward insights whether the vehicle is optimized for the needs of the respective user. “By combining many such profiles we can perform group-specific data evaluation”, says Tobias Burgert, research associate at Fraunhofer ICT. “This can lead to representative driving cycles that in turn can be fed into the design of new vehicle models – for instance in virtual driving tests”.
The data logger can be configured flexibly. Possible applications are not restricted to conventional vehicles with combustion engine. Besides the parameters of a classic power train like rpm or lambda value, the researchers also can collect data associated to electric vehicles like the battery’s charging status. The flexibility of the configuration increases the data quality, because by skipping the acquisition of unnecessary data the prioritized parameter can be logged with a higher sample rate. Besides accessing vehicle-specific data, the logger also can store data from external sources such as a GPS module or a gyro sensor.
The data logger is based on a Raspberry Pi single-board computer, which makes it a cost-effective solution. The access to the vehicle occurs across the ODB-II interface available in any car.
Use cases range from fleet management to the design of vehicles; according to Fraunhofer, an international OEM is already utilizing the data logger for the design of hybrid vehicles. The device helps users to comprehend how exactly the vehicle is utilized; fleet operators thus can provide the right vehicle for a specific use.
More information: www.ict.fraunhofer.de
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