Pregled bibliografske jedinice broj: 1025476
Control Trajectory Optimisation and Optimised Control Strategy for an Electric Vehicle HVAC System and Favourable Thermal Comfort
Control Trajectory Optimisation and Optimised Control Strategy for an Electric Vehicle HVAC System and Favourable Thermal Comfort // 14th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES)
Dubrovnik, Hrvatska, 2019. SDEWES2019.1086, 13 (predavanje, podatak o recenziji nije dostupan, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1025476 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Control Trajectory Optimisation and Optimised Control Strategy for an Electric Vehicle HVAC System and Favourable Thermal Comfort
Autori
Cvok, Ivan ; Škugor, Branimir ; Deur, Joško
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Skup
14th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES)
Mjesto i datum
Dubrovnik, Hrvatska, 01.10.2019. - 06.10.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Podatak o recenziji nije dostupan
Ključne riječi
Electric vehicle, HVAC, thermal comfort, dynamic-programming, optimisation, optimal control, hierarchical control
Sažetak
In order to increase the driving range of electric vehicle, while maintaining high thermal comfort inside the passenger cabin, it is necessary to design a control system which optimally synthesizes multiple control actions of heating, ventilation and air-conditioning (HVAC) system, while taking into account various constraints imposed by system hardware requirements. To this end, dynamic programming- based optimisation of HVAC control variables, which simultaneously minimises conflicting criteria of passenger thermal comfort and HVAC efficiency, is first proposed in the paper. Next, a hierarchical structure of thermal comfort control system is proposed, which consists of optimised low-level control loops, a superimposed cabin temperature controller that regulates cooling capacity, and optimisation-based control allocation strategy that sets references for inner HVAC control loop. Finally, the overall control system is verified by simulation for cool-down scenario, and the simulation results are compared with the DP benchmark.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb