Research on hybrid modeling and predictive energy management for power split hybrid electric vehicle

• Autorzy: Wang Shaohua , Zhang Sheng , Shi Dehua , Sun Xiaoqiang , Yang Tao

Identyfikatory

DOI

10.24425/bpasts.2021.137064

• Języki publikacji: EN

Abstrakty

EN

Due to the coexistence of continuity and discreteness, energy management of a multi-mode power split hybrid electric vehicle (HEV) can be considered a typical hybrid system. Therefore, the hybrid system theory is applied to investigate the optimum energy distribution strategy of a power split multi-mode HEV. In order to obtain a unified description of the continuous/discrete dynamics, including both the steady power distribution process and mode switching behaviors, mixed logical dynamical (MLD) modeling is adopted to build the control-oriented model. Moreover, linear piecewise affine (PWA) technology is applied to deal with nonlinear characteristics in MLD modeling. The MLD model is finally obtained through a high level modeling language, i.e. HYSDEL. Based on the MLD model, hybrid model predictive control (HMPC) strategy is proposed, where a mixed integer quadratic programming (MIQP) problem is constructed for optimum power distribution. Simulation studies under different driving cycles demonstrate that the proposed control strategy can have a superior control effect as compared with the rule-based control strategy.

Słowa kluczowe

EN

power split HEV; energy management; mixed logical dynamical model; piecewise affine; model predictive control

PL

podział mocy; zarządzanie energią; silnik hybrydowy; model dynamiczny; model mieszany; model logiczny; technologia fragmentarycznie pokrewna; kontrola predykcyjna modelu

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2021
• Tom: Vol. 69, nr 3
• Strony: art. no. e137064
• Opis fizyczny: Bibliogr. 31 poz., rys., tab.

Twórcy

autor

Wang Shaohua

• Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China

autor

Zhang Sheng

• Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China

autor

Shi Dehua

• Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China
• Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, Xihua University, Chengdu 610039, China
• Jiangsu Chunlan Clean Energy Research Institute Co., Ltd., Taizhou 225300, China

autor

Sun Xiaoqiang

• Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China

autor

Yang Tao

• Jiangsu Chunlan Clean Energy Research Institute Co., Ltd., Taizhou 225300, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).