Mullaney of RMI discussed how certain market segments can be more easily switched to electric vehicles. Citing the food service industry in particular, he mentioned how following standardized routes each day and having lengthy stop durations overnight makes this industry segment a prime candidate for fleet electrification. As new markets like this pursue EVs, it’s critical to understand the ramifications of this for the current grid and use data to scale EV infrastructure at a manageable pace.
But it doesn’t end with food. RMI’s research, along with Altitude by Geotab’s data, indicated how certain electric vehicles can potentially eclipse 1,000-mile days with the right infrastructure solutions in place to charge their vehicles. However, these high-powered charging stations could also end up putting a strain on a region’s power grid in terms of both price and availability if enough electric heavy-duty trucks were on the road. That’s why looking at the data beforehand is so critical. What percentage of trucks are even able to be electrified? What type of chargers will they use? When will they charge? What power draws will charging create? This is a crucial question in determining how much power is needed for truck charging, and then rolling out a phased approach to EV infrastructure.
Chart demonstrating the total percentage of trucks able to become electrified, courtesy of RMI (sourced by Altitude by Geotab).
Assessing whether or not a new charging area is feasible prior to building it using analytics can save time, money and resources and position the project for success. In addition, analyzing how the grid would fare if everything were to go electric all at once is key to understanding potential shortcomings ahead of time. Knowing these pitfalls beforehand allows departments to plan EV public charging options at a scalable rate.
Mullaney spoke about how the evaluation process for EV infrastructure suitability should also factor in charging windows and energy requirements before investments in the grid are made. Forecasting the potential rewards of those investments is also important in determining how to first begin scaling electric vehicle infrastructure.
Tangible examples were provided of how planners in different regions of the U.S. can study metrics like average travel distance and the total wattage needed to inform investment needs. Geotab’s ITS insights are versatile and allow for virtually any area to be studied using advanced tools like stop clustering and customizable zoning. Investing in sustainable transportation equipment with the power of Geotab’s data helps enhance fuel efficiency and overall public health.