Due to openness of “Raspberry Pi”, a powerful computer, and it’s low cost, it is used extensively in many Industries and across innumerable applications. On similar lines, we want to create an “Open Motor Controller” which can be used in hybrid vehicles at low cost. Components, Building blocks and even Sub-assemblies are available in the open market but the challenge is to integrate them, package them in a box and make it an ECU with requisite physical and electrical protection.
Can we devise a novel solution for vehicle owners where they are able to take an informed decision on whether to replace the consumables with respect to its remaining useful life while also considering the effect of not changing it within a specified time?
Some of these consumables are:
1. Air Filters
2. Oil Filters
3. Engine Oils
5. Clutch plate
6. Brake Liners
1.You can choose to take up any one of the consumables listed above.
2.Go beyond putting sensors.
Have you ever been left stranded with your vehicle because it just wouldn’t start?
Many a times this is due to the battery of the vehicle, more specifically either its state of charge (SOC) or its state of health (SoH).
The challenge is to devise a user friendly APP based Battery Management Tool through which the user can get the critical information about the SoC as well as the SoH along with the set of actions required to ensure a reliability of starting is maintained.
The biggest anxiety of any electric vehicle owner (Bikes, Cars, Buses and Trucks) is the range they can derive out of a single charge, essentially because of the limited opportunity to charge the vehicles available today.
In this context the challenge is to develop a smart algorithm (a complete simulation model) which takes all the noise factors of the outside environment (e.g. via open APIs) and uses it to manage (via a control logic) the vehicle parameters to ensure optimal battery utilization
The Challenge is to develop a system to gather anonymized data of people’s movement (no privacy infringement) in a City and then suggest a use-case of how this data can be used to improve any or all of the following attributes of mobility:
1.The need for mobility: Analysis of mass movement across long distances.2.The Efficiency of moving from A to B: 3.The discovery of demand patterns for specific modes of transport.4.The carbon footprint trails.5.The safety of travel.6.Out of Box Insights.