Artificial intelligences help us write text or solve mathematical problems. Why not let software intelligently manage the operation of the e-fleet as well? Software-controlled charging planning uses real-time data from the vehicle fleet and energy infrastructure to decide when and where electric vehicles (EV) should be optimally charged. EVs are always optimally charged when they are on time and sufficiently charged for departure, while also taking into account favorable electricity prices, grid utilization, and available PV power.
From rethinking to efficiency: charge planning as a solution.
The switch to electric vehicles requires a rethink of how trips are planned and executed. But this is not a hurdle, but an opportunity to successfully optimize the electrified fleet. Charging planning plays a crucial role here by taking into account the limited range of electric vehicles and strategically integrating the necessary charging stations. This way, vehicles are always sufficiently charged and ready for the next tour without losing precious time due to longer charging processes or causing delivery problems.
Software-driven fleet and charging management: the key to success
To enable a successful transition of transportation companies to an electrified fleet, a thorough analysis of operating models and mobility needs is essential. Charging planning for e-fleet takes the following points into account:
To enable the successful transition of transport companies to an electrified fleet, an analysis of the operating models and mobility needs is essential. The following points are considered for charging planning for e-delivery vehicles:
- Energy requirement for the next tour(s)
- State of charge of the vehicle battery (SoC)
- Available charging stations for electric vehicles
- Capacity bottlenecks in the energy grid (building load, etc.)
- Available solar power
- Flexible electricity prices
- Vehicle bookings
If this information is incorporated into the charging planning, a software-controlled, intelligent charging management system can charge the e-transporters in an optimized and demand-based manner. The charging management system uses algorithms and data analytics to determine the optimal time for charging and increase overall fleet efficiency. Taking into account all data for the coming hours or days, charging planning calculates which electric vehicle should be charged, when and for how long at which charging point.
Charge planning through software-driven fleet and charge management
With smart and software-controlled charge planning, transport companies can increase their efficiency, reduce costs and at the same time make a sustainable contribution to the environment. The future of e-fleets lies in the intelligent use of technology to create a reliable and efficient logistics solution.
To this end, a combined charging and fleet management software, such as IO-Dynamics, provides a clear dashboard where the entire charging schedule can be viewed in detail. Individual e-vehicles and charging points can be created and viewed in detail.
Initially, charging planning appears to be one of the key challenges for the success of an electrified commercial fleet. But with the use of software solutions for charging management, they take over complex tasks for fleet managers, making sustainable and efficient electric mobility in commercial transport possible.