TY - JOUR N2 - 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. L1 - http://journals.pan.pl/Content/119663/PDF/10_01459_Bpast.No.69(3)_23.06.21_Druk.pdf L2 - http://journals.pan.pl/Content/119663 PY - 2021 IS - 3 EP - e137064 DO - 10.24425/bpasts.2021.137064 KW - power split HEV KW - energy management KW - mixed logical dynamical model KW - piecewise affine KW - model predictive control A1 - Wang, Shaohua A1 - Zhang, Sheng A1 - Shi, Dehua A1 - Sun, Xiaoqiang A1 - Yang, Tao VL - 69 DA - 18.04.2021 T1 - Research on hybrid modeling and predictive energy management for power split hybrid electric vehicle SP - e137064 UR - http://journals.pan.pl/dlibra/publication/edition/119663 T2 - Bulletin of the Polish Academy of Sciences Technical Sciences ER -