In the past few decades, improvement on fuel efficient technologies have progressed rapidly, whereas little emphasis is being made on how the vehicle should be driven. Driving habits significantly influences fuel consumption and poor driving habits leads to increased fuel consumption. In this paper a new system called “Green Drive” is being presented wherein driving habits are closely monitored, evaluated and details are systematically presented to the user. Green Drive system monitors key driving parameters like speed, gear selection, acceleration, unwanted engine idling periods, aggressive braking and clutch override and presents an ecoscore on the infotainment system which is reflection of users driving behavior. The system also offers guidance on the scope for improving driving habits to achieve better ecoscore and hence reduced fuel consumption. Every trip is recorded and presented with drive summaries of start/end location, ecoscore, fuel economy, trip duration, trip distance, top speed and average speed. Green Drive system receives inputs on various vehicle parameters through CAN bus, process them through in-built algorithms and displays information intuitively to the user. The drive summary is transferred to smart phone and presented using Bluesense mobile application. The drive summary is also transferred from the mobile to the website server via mobile data services.In this paper, green drive system is introduced, the architecture is presented, algorithms involved and the development approach which involves of data collection, analysis, calibration and testing are covered. The paper also presents the analytics which can be accessed by the user anywhere from the cloud storage. Green Drive offers a simplistic, innovative and yet powerful sustainable solution to the user leading to cleaner and greener environment.


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    Title :

    Green Drive - A Holistic Approach Towards Fuel Efficient Driving


    Additional title:

    Sae Technical Papers



    Conference:

    Symposium on International Automotive Technology 2017 ; 2017



    Publication date :

    2017-01-10




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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