Addressing EV Load Management
- Otto Gunderson
- Mar 27
- 4 min read
As electric vehicles become more commonplace and charging stations continue to spring up around the United States, there is growing concern about the strain that this will cause on the grid. This problem needs to be approached first by the demand side; as more electric vehicles enter the market, the pressure on the grid will continue to increase. Improving existing transmission infrastructure and reducing delays in connecting new charging hubs will prove important.
However, simultaneously tackling the problem of EV strain on the grid through the supply side, with solutions such as ridesharing, location optimization, and bi-directional energy flow in batteries, can prevent bottlenecks. Similarly, software products such as dynamic load management could reduce unnecessary strain while saving EV owners on charging costs. Rather than pressure the grid and utility to provide the maximum power that may be required if all charging stations are being used at full capacity, software within the charger is capable of balancing loads, charge rates, and output.

Put simply, dynamic load management controls the total power applied to EV chargers, allowing more charging stations to be installed at a given location. The electric vehicle adoption goals set for 2030, in which EVs make up half of all car sales and 500,000 electric vehicle charges are installed, mean that bottlenecks in charging could prevent this goal from being reached. As outlined by an Eaton White Paper on the topic, load management software allows for more chargers to be installed than previously assumed, improving management and deployment of the stations along with the increased outlet.
Regarding the reasoning behind dynamic load software, Johannes Copeland, Chief Operating Officer at Skycharger, outlined how delays with permitting and development could stagnate the deployment of more charging stations. By his estimate, a new DC fast charger could take between 6 and 9 months to design and another 9 to 12 months to work through connection with utility and acquire equipment. Therefore, achieving interconnection in a year and a half is considered a positive. Part of this delay is the result of the improvements made in electric vehicle batteries. As electric vehicle battery range continues to increase, the energy pull that they are able to place on the grid grows proportionally.
This hold-up must be solved now to avoid a lack of charging stations as electric vehicles continue to enter the market. As Copeland described, the strain on the grid with more powerful batteries is not necessarily a plant capacity problem but a limitation due to grid transmission and distribution constraints. These constraints, he points out, are tied to a "worst-case scenario" situation for the charging station. The grid must provide the power capabilities for all ports to run at full charge for the largest batteries. This adds an unnecessary constraint to the development of the DC fast-charging industry. Rather than blaming grid development or excessive regulation, a solution would be implementing dynamic load management software to better handle charging scenarios.

Solutions such as ridesharing of electric vehicles and the possibilities of a bi-directional flow of energy from charging EV models have the potential to reduce grid strain. Scott Macwilliam, Founder and CEO of Kite Mobility, mentioned this possibility during a conversation on EV ridesharing. Kite Mobility, a Canada-based start-up, provides electric vehicles to buildings such as apartments, offering clean transportation for residents without the cost and hassle of owning a car. In relation to load management, as these vehicles can charge at the most convenient time, Macwilliam explained how the growing number of vehicles could serve as a backup storage system. During times of peak energy use, the Kite vehicle could be turned off, allowing charging to stop and energy to flow back into the building.

Jamie Hall, Director of Policy at EV Realty, addressed preventing grid strain by choosing ideal charging locations for charging with strong existing transmission ability. As a company focusing on building high-powered commercial hubs for medium—and heavy-duty electric vehicles, grid access is critical to its success. One roadblock of its development thus far has been constraints to local electric grids and delays for upgrading. This leads to one of the most essential things that EV Realty looks for: capacity on local grid utilities and whether upgrades to the distribution grid will be required.
Likewise, having access to information on chargers is essential for EV drivers. This starts by having access to data on charging locations and charging times. Erkki Tapola, CEO of SolidRoam, spoke with me about the importance of being able to charge different vehicles at different charging hubs. This, coupled with an application program interface (API), provides the required information for someone who wants to use a public charger (location, rate, availability). Additionally, information will be available to the customer on how long the charge will take and the cost of charging. This will put less pressure on the grid and optimize charging options as customers shy away from charging at peak consumption times and instead charge when costs are low and availability is high.
The challenge of incorporating millions of electric vehicles onto the grid will need to utilize new technologies and practices to prevent grid strain, promote economical charging, and address concerns about the availability of chargers. On the supply side, providing the necessary software to optimize charging and decreasing the delays in new charging stations ensures every EV driver can get a charge when needed. On the demand side, battery improvements could serve as energy backup while ride-sharing and location optimization minimize grid strain. These solutions are not mutually exclusive; rather, they will benefit each other and the EV industry as a whole.
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