With intelligent charging management software to smooth fleet electrification
Growing awareness of climate change has led governments around the world to accelerate the switch to electromobility. Many companies are following suit and have set themselves ambitious targets for reducing CO2 emissions. The issue of sustainability is increasingly penetrating people's consciousness.
In the long term, the switch to electromobility makes a lot of sense in terms of climate policy, but in the short term it poses major challenges for those responsible for fleet management. Not only companies with large vehicle fleets are affected, but also small businesses with few vehicles. The German government has decided to phase out internal combustion engines for newly registered vehicles by 2035. To ensure that their own fleets are future-proof, fleet managers must react quickly.
In this article, you will learn about the optimization potential that lies in the electrification of the fleet with an intelligent charging management solution such as IO-ELON.
What is there to consider when electrifying the fleet?
Before electrifying the fleet, it makes sense to take stock. How many vehicles will the e-fleet include? How many vehicles already run on electricity, and how many will in future? Where should the charging infrastructure be installed? Do I offer my employees the possibility of charging? What is the site's electricity capacity? How can the e-fleet operation processes of the various players – facility managers, energy suppliers, installation companies, employees – be controlled? Optimization potential for growing electromobility can be utilized as early as the fleet planning stage.
Not all employees have the opportunity to charge at home; this is especially the case in cities and metropolitan areas. In this case, the focus is on charging on the company premises. Employees spend an average of 8 hours or more at work – this time can be optimally used to charge the e-car. However, if all employees who own an e-car do this, a lot of electricity is consumed during this time, which puts additional strain on the grid connection. An intelligent charging management system ensures that the grid connection is used to its full capacity.
Charging an electric fleet places a heavy load on the local power grid. Already in the planning phase, the grid operator and the electricity supplier should be involved in order to obtain a suitable grid connection and electricity tariff. Intelligent charging management connects the power grid, the vehicle, and the vehicle deployment and keeps the operating costs of charging the e-fleet low.
In the field of energy management, an intelligent charging management such as IO-ELON provides dynamic load management. The software measures the current power at the grid connection and adjusts the total available charging power to the power consumption. So if the power consumption in the building decreases, more power is available for charging the e-fleet. Holistic load management can be realized by integrating a PV system. The self-generated solar power additionally makes more energy available to charge the electric cars.
In this context, IO-ELON also takes peak shaving into account. The automatic and anticipatory postponement of charging processes prevents load peaks and ensures the most constant possible load profile at the grid connection.
Billing in the electric vehicle fleet should also be designed intelligently and transparently. This is not only relevant for employees or customers, but also for accounting. The intelligent IO-ELON charging management software records every charging process via a telematics module plugged into the vehicle. Users of the platform can view the duration, charged energy and costs of the charging process.
Intelligent charging management simplifies the complexity of fleet electrification and ensures that e-fleet operations run smoothly. It helps manage the electric fleet more cost-effectively and resource-efficiently.
Range and vehicle availability play a central role in fleet management. Vehicles must be available when they are needed. Intelligent charging management helps to maintain an overview of one's own fleet.
The fleet management gets an overview of the entire fleet through the dashboard of the intelligent charging management software. Battery health, charging status as well as the associated range of all vehicles can be viewed as well as individual charging processes can be tracked.
Equivalent to the fleet overview, you also get an overview of the charging infrastructure. Here, the number of active charging processes as well as the average and total charging power can be viewed. For each individual charging station, the corresponding charging processes can be recorded.
With the help of the location overview, the utilization of the building connection can be checked. The charging processes are dynamically adapted to the available power, whereby any sub-distribution, PV systems and storage can be taken into account.
The IO-ELON charging algorithm calculates an optimal charging schedule for the next 24 hours, automatically controlling all charging stations at the site. Vehicle bookings are taken into account so that electric vehicles have the optimal amount of energy for scheduled appointments. Fleet management knows exactly which vehicles are available or booked for a given period. Drivers do not have to fear being stuck on their route with an empty vehicle battery.
The intelligent charging management IO-ELON shifts charging processes so that they are adapted to the capacities of the power grid and renewable energies. PV charging is a very good way to use self-generated green electricity and reduce electricity costs for charging vehicles.
Before electrifying one's own fleet in practice, it is possible to carry out a simulation to analyze in advance how electromobility would behave at a particular location. In other words, the fleet can be virtually electrified and potential savings identified.
The IO-ELON charging management software can simulate the operation of vehicles, charging stations, grid connection and likewise the integration of a PV system. In this way, a valid prediction of the fleet behavior can be made at the beginning of a fleet electrification, as well as in the case of changes to an existing electric fleet, which includes the charging management in the calculation.
Read here how simulation software can help overcome fleet electrification challenges.
Have we aroused your interest? Then feel free to contact us and email us to info@iodynamics.de. You can also request a demo via our website to get to know our intelligent charging management better. We are looking forward to the common exchange!
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