TY - JOUR
A1 - Wang, Shaohua
A1 - Zhang, Sheng
A1 - Shi, Dehua
A1 - Sun, Xiaoqiang
A1 - Yang, Tao
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://so.czasopisma.pan.pl/Content/119663/No3_09_01459_Bpast.No.69%283%29_18.04.21_EA_.pdf
L2 - http://so.czasopisma.pan.pl/Content/119663
PY - Early Access
EP - e137064
KW - power split HEV
KW - energy management
KW - mixed logical dynamical model
KW - piecewise affine
KW - model predictive control
SP - e137064
T1 - Research on hybrid modeling and predictive energy management for power split hybrid electric vehicle
DA - 18.04.2021
UR - http://so.czasopisma.pan.pl/dlibra/publication/edition/119663
DOI - 10.24425/bpasts.2021.137064
ER -