Using dynamic programming to increase the energy efficiency of hybrid vehicles
Abstract
Using dynamic programming to increase the energy efficiency of hybrid vehicles
Incoming article date: 18.12.2019The trend of the transition of autonomous vehicles from internal combustion engines to electric drives leads to the need to find intermediate solutions. Hybrid transport is currently a fairly popular compromise. Improving its energy efficiency is possible in several ways. This article shows a software method based on dynamic programming, which allows you to optimize fuel consumption by separating the use of an internal combustion engine and an electric drive. Dynamic programming solves recursive optimization problems when sub-tasks are recounted several times. Also, in this work, mathematical modeling of the car’s movement pattern and determination of the optimal distribution of speed and battery charge depending on the number of fractional bits are carried out. The development of dynamic programming from the point of view of hardware implementation is possible using Field-Programmable Gate Array (FPGA).
Keywords: Hybrid transport, mathematical modeling, dynamic programming, programmable logic integrated circuits, internal combustion engine, electric drive