Urban transport systems play a major role in the development of today’s societies, but they
require technological changes to reduce their environmental impact. The problem lies in their level of
autonomy, which is why electrical energy production systems are proposed for self-consumption,
efficiently feeding their accumulators. As the energy provided by photovoltaic installations has lower
recharge speeds, conventional systems with high transfer amperage and higher voltage are required.
For this reason, solar installations are used for additional services and to support their autonomy.
The present work tries to find the best solution for both constant voltage and peak current systems.
Once found, these solutions will be applied in real time for the dynamic recharging of battery packs,
trying to achieve vehicles that are progressively more energetically autonomous. To solve these
situations, a new computational method for calculating voltage and amperage has been developed in
this work, based on Dijkstra’s minimum path search algorithm on graph theory, adapted to electrical
circuits. Once this algorithm has been established, the panel performance analysis sensors, developed
at the University of Malaga, are combined with different electronic solutions described in this article
(Wi-Fi relay devices using esp8266 chips or feeding these relays through panels and establishing the
voltage drop to switch the connection), achieving precise and sufficiently fast solutions at very low
cost. Both series and parallel transitions are possible, depending on the type of energy generation
required. The theoretical solutions using Minkowski paths, analyzed in the past, have been simulated
and subsequently constructed in this paper, indicating the diagrams necessary for their realization.
