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Control Variables Optimization and Feedback Control Strategy Design for the Blended Operating Regime of an Extended Range Electric Vehicle (CROSBI ID 205317)

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Škugor, Branimir ; Cipek, Mihael ; Deur, Joško Control Variables Optimization and Feedback Control Strategy Design for the Blended Operating Regime of an Extended Range Electric Vehicle // SAE International journal of alternative powertrains, 3 (2014), 1; 152-162. doi: 10.4271/2014-01-1898.

Podaci o odgovornosti

Škugor, Branimir ; Cipek, Mihael ; Deur, Joško

engleski

Control Variables Optimization and Feedback Control Strategy Design for the Blended Operating Regime of an Extended Range Electric Vehicle

In an authors' previous SAE publication, an energy management control strategy has been proposed for the basic, charge-depleting/charge-sustaining (CD/CS) regime of an Extended Range Electric Vehicle (EREV). The strategy is based on combining a rule-based controller, including a state-of- charge regulator, with an equivalent consumption minimization strategy. This paper presents an extension of the control strategy, which can provide a favorable vehicle behavior in the more general blended (BLND) operating regime, as well. Dynamic programming-based control variables optimization is first conducted to gain an insight into the vehicle optimal behavior in the BLND regime, facilitate the feedback control strategy development/extension, and serve as a benchmark for the control strategy verification. Next, a parameter optimization method is applied to find optimal values of critical engine on/off thresholds. Finally, the control strategy is verified against the optimal benchmark for several repetitive certified driving cycles, and the results are compared with those obtained for the basic CD/CS regime.

EREV; optimization; control; blended mode

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Podaci o izdanju

3 (1)

2014.

152-162

objavljeno

2167-4191

2167-4205

10.4271/2014-01-1898.

Povezanost rada

Strojarstvo

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