Open AccessCharging balance management system modeling and implementation in intelligent vehicle with combined power system
Author(s) -
V. V. Debelov,
O A Dzhodzhua,
K M Sednev,
D V Endachev
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/819/1/012037
Subject(s) - battery (electricity) , state of charge , power (physics) , power balance , voltage , automotive industry , charge control , controller (irrigation) , work (physics) , computer science , automotive engineering , current (fluid) , electrical engineering , engineering , mechanical engineering , aerospace engineering , agronomy , physics , quantum mechanics , biology
The article presents the results of mathematical modeling and implementation of algorithms for ensuring the charge balance of an automotive low-voltage battery as part of an intelligent vehicle control system with a hybrid power system. The aim of the research is to evaluate the effectiveness of the proposed complex of mathematical models in calculating the control parameters of the DCDC converter to achieve a positive charge balance of the low-voltage battery. The work evaluates the boundary conditions of the system and adapts the mathematical models and algorithms implemented in the program code of the controller as part of the current model of an intelligent vehicle with a combined power system. The following parameters are evaluated as criteria for the optimality of the proposed models: SOC - state of charge (%), battery charge (A * h), charge and discharge current of the battery (A), voltage on the battery during its charge, in the absence of a charging current and at rest (V). A full-scale experiment was carried out, experimental data and graphs were obtained. Optimal control coefficients for the processes of charge and discharge of the battery, current characteristics, the dynamics of their changes during operation, experimental time-current dependences during the operation of each component of the low-voltage power supply network were studied. The results of the work make it possible to make adjustments to the charge balance management model and contribute to improving the energy balance of the power grid, increasing the efficiency and service life of batteries, forming requirements for power systems and their subsequent implementation.