On the road: Continuous real-time replanning
Once drivers are behind the wheel, their ITP will go into continuous planning mode, receiving and processing real-time input from the same systems used to generate the pre-departure plan and notifying the operator of recommended changes.
Operators will get instant alerts when any change in the inputs (such as driving behavior, charging station availability and unplanned route decisions) necessitates an adjustment to the enroute charging itinerary, impacts destination arrival time, or both.
Under the hood, in the cloud, on the ground: Enhancing the EV ecosystem
If done right, ITP could trigger a profound paradigm shift as consumers become more comfortable with the idea of EVs. As the world transitions from fossil fuel to electric vehicles, consumers will leave behind the notion of a car guided by a driver and instead climb into a connected, software-defined vehicle able to meet their needs with maximum efficiency.
Under the hood, the collection of disparate vehicle systems must evolve toward a unified, remotely managed software platform. That platform must be permanently connected to an EV cloud that integrates data from any system that can contribute to better EV performance. The EV cloud itself must be permanently connected to a smart EV charging infrastructure that signals its status continuously. And the processes, distributed across local and cloud resources, must take advantage of more powerful analytics, and new machine learning and AI capabilities.
EVs have been building sales momentum and gaining market share for several years. But if manufacturers are to persuade the big part of the consumer bell curve to give up their familiar fossil fuels for EVs, they’ll have to help those consumers overcome range anxiety. ITP systems should play a major role in this effort.
To learn more, visit the Cognizant Mobility+ section of our website or contact us.
This article was written by Tim Meyer, Director – EV & Fleet Electrification/Smart Connected Mobility in Cognizant IoT's Solution Practice and Dr. Shivanajay Marwaha, Techno-Business Advisory Leader in Cognizant's IoT Solution Practice.