Grants - Awarded
Below, we present a list of grants awarded under Task No. 1, "Development Incubator," as part of the project titled "SCIENCE4BUSINESS – SCIENCE FOR BUSINESS."

Decision number
1/S4B/D/2026 dated 19 October 2026
Grant Recipient
dr inż. Adam Mroziński
Implementation period
20.10.2026 - 20.07.2027
Grant Project Description
The project involves pre-implementation work on intelligent energy management technology for electric vehicle (EV) charging infrastructure, integrated with a photovoltaic (PV) system and an energy storage system (BESS). The core challenge stems from a lack of coordination between the charging process and several factors: PV power generation, BESS status, grid connection power limits, required vehicle readiness time, and the EV battery’s state of charge (SOC) and temperature. The developed Energy Management System (EMS) will incorporate battery temperature as a state variable and a constraint on the charging process—without interfering with the vehicle’s factory-installed Battery Management System (BMS)—by controlling the start time, power level, and charging schedule. The project scope includes developing technical documentation, an EMS algorithm, and software; building and integrating a demonstrator (comprising a PV system, BESS, EMS, charger, and EV); and conducting comparative tests against a baseline scenario that lacks the optimization algorithm. Validation and demonstration of the complete technology will take place at the Renewable Energy Engineering Laboratory of the Bydgoszcz University of Science and Technology, which is equipped with a functional PV installation, energy storage, a charger, measurement instrumentation, and a Nissan Leaf electric vehicle. Testing will cover repeatable scenarios involving varying PV generation levels, battery temperatures, initial SOC values, and power constraints. The project will deliver a demonstrator at Technology Readiness Level (TRL) 6, the EMS source code and documentation, and a final report confirming, among other outcomes, at least a 10% reduction in energy drawn from the grid—while ensuring the vehicle reaches the required SOC within the specified timeframe and stays within the grid connection power limit.