Electric Vehicle Fleet Management System

The system enables real-time monitoring of each vehicle’s status: whether it is on the road or idle, as well as analyzing mileage, downtime, and utilization efficiency. This allows managers to quickly identify underutilized assets, optimize schedules, and better plan operational tasks.

The system allows precise management of the contracted power capacity of the grid connection that the charging stations are linked to. Contracted power is the maximum amount of electricity that a company can draw from the grid at any given time, as defined in the contract with the energy provider.

Dynamic distribution of available power between vehicles and stations helps avoid exceeding limits, eliminating the risk of penalties and unplanned costs. Smart algorithms ensure that the fleet is properly charged before hitting the road while keeping within contracted limits and maintaining full operational readiness.

Smart fleet management analyzes driving routes, vehicle technical parameters, and the number and location of charging stations. The system automatically recommends optimal charging times and locations, considering infrastructure availability, planned routes, and business requirements. This minimizes downtime and maximizes fleet utilization.

Charging planning

✔ Charging session scheduling – plan vehicle charging during optimal hours, e.g., at night when electricity is cheaper and the grid is less loaded.

✔ Dynamic power adjustment – charging stations automatically regulate charging power according to current demand, preventing overloads and ensuring efficient use of contracted power.

✔ Multi-vehicle management – the system prioritizes charging for vehicles that need it most (e.g., with the lowest battery level or urgently needed for work).

✔ Integration with user schedules – charging can be automatically triggered according to vehicle work schedules and user preferences.

Route planning

Vehicle technical parameters

✔ Vehicle specifications – the system analyzes battery capacity, energy consumption, maximum charging power, and other technical features.

✔ Infrastructure matching – charging stations are matched to vehicle parameters, maximizing charging efficiency and minimizing downtime.

✔ Technical condition monitoring – ongoing control of vehicle parameters and scheduled servicing in advance to maintain full fleet operability.

Thanks to advanced analytics powered by neural networks and machine learning, the system identifies which combustion-engine vehicles in the fleet should be replaced with EVs and which models would be most suitable. The analysis covers mileage, route types, downtime, and operating costs to precisely assess the potential and benefits of replacements.

Our solution enables detailed scheduling of charging, maintenance, and vehicle usage, while also integrating with the OCPP 1.6 protocol to ensure interoperability and secure data exchange between different systems and charging station operators.

The system leverages advanced analytics models and neural networks for charging schedules and EV investment recommendations. This enables data-driven decision-making and continuous improvement of fleet efficiency.

The financial calculator allows fleet owners to quickly and accurately calculate operating costs, potential savings from switching to EVs, and profitability of investing in charging infrastructure. The tool factors in energy costs, maintenance, taxes, available subsidies, and incentives – helping companies make informed business decisions. The financial calculator is an additional module of the electric vehicle fleet management system.