Naslov
Cascade Optimization of Control Variables for a Series-Parallel Hybrid Electric Vehicle Power-train

Autori
Cipek, Mihael ; Kasać, Josip ; Pavković, Danijel ; Zorc, Davor

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 14th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2019) / - , 2019

Skup
14th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2019)

Mjesto i datum
Dubrovnik, Hrvatska, 01.10.2019. - 06.10.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Control variable optimisation ; dynamic programming ; gradient methods ; hybrid electric vehicle ; fuel economy improvement

Sažetak
Over the last two decades, vehicles have been increasingly equipped with hybrid electric power-trains in order to provide significant gains in fuel economy, and also reductions in greenhouse gases emissions. Due to the fact that hybrid power-trains consist of two or more different energy sources, many of their variants are present nowadays. This leads to many open questions in terms of hybrid electric power-train structure selection, components sizing and energy management control, which all have influence on the power-train purchase cost and efficiency. The control variables optimisation is crucial in order to find minimum possible fuel consumption and optimal control rules for different power-train operating regimes. Among various control variable optimisation methods, the dynamic programming approach is usually used in literature, because of its unique feature to provide the global optimum solution. However, this method also requires significant computing power and its application is limited to low-order systems. Having this in mind, this paper evaluates the benefits of cascade approach to hybrid electric vehicle control variable optimisation by combining dynamic programming with a gradient-based algorithm in order to significantly reduce the computational time and also to increase the precision of the globally-optimal result.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Strojarstvo

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