EV fleet charge management and optimization

EV fleet charge management and optimization

Caso de éxito

EV fleet charge management and optimization

The largest bakery in Mexico and the world, is electrifying its fleet of distribution vehicles, aiming to have more than 4 thousand units by 2024. This aims to meet its sustainability goals by reducing the carbon footprint of its operations and generating operational efficiencies by increasing its productivity in the last mile of distribution.
This transition impacts the way it operates its sustainable distribution centers in many ways. First, infrastructure for charging electric vehicles was incorporated. Likewise, distributed generation with photovoltaic plants was added to replace the energy demanded to charge the EV fleet. Control systems were also required to manage and provide information on the status of the vehicle chargers and the cost of energy (fuel) associated with each one.
The challenge was to manage the fleets of electric vehicles in the sustainable distribution centers, guaranteeing full loads at all times, with the most economical energy tariff available, providing 100% reliability in the process, and providing information to users.
Before our intervention and the installation of IoT energy measurement sensors and smart controllers to optimize charging cycles using the available infrastructure, the distribution and consumption of energy per operating area were unknown. Most importantly, the total consumption of each charging station, the duration of the cycles to achieve 100% charge, and the times at which they occurred were unknown, not to mention the cost.
Building a platform to control and monitor the charge of electric vehicles in an intelligent and user-friendly way became possible when we demonstrated that the cost per charging cycle was 1.75 times cheaper than charging fleets just by following the arrival times of the vehicles at the end of their sales route.
For our client, the justification for investing in electric distribution fleets is strengthened with this project. It’s been demonstrated that the operating cost of charging fleets with kWh vs. fossil fuels is infinitely lower. Not to mention the reduced carbon footprint in urban areas and the fact that the charging management and optimization platform will scale with the inclusion of electric vehicle fleets globally.

IoT sensors, intelligent controllers, and a management platform to optimize the charging infrastructure, achieving consistent savings of -28% in energy costs.


Installation of smart controllers, IoT sensors for energy measurement, and developing a user-centric management and information platform.

Development of a strategy to manage EV chargers to ensure full charges in the most economical energy tariff.

Centralization of energy consumption data from different distribution centers to achieve efficiencies and detect operational anomalies.

Confidence to users through accurate information on the charging status of vehicles and sending alerts anticipating errors in the loading protocol.

Reduced energy consumption during peak hours. Intelligent control of load infrastructure for a staggered start-up avoiding power peaks.

Involvement of corporate users through a customized platform. Understanding of the actual operating cost of EV fleet operation and electromobility migration project.


28% Decrease in cost per electric vehicle charge

7% Total energy cost reduction in Distribution Center

Mitigation of phantom loads or incomplete loads through intelligent control and monitoring