@Article{jiot.2020.010225,
AUTHOR = {Xiaokan Wang, Qiong Wang},
TITLE = {Application of Dynamic Programming Algorithm Based on Model Predictive Control in Hybrid Electric Vehicle Control Strategy},
JOURNAL = {Journal on Internet of Things},
VOLUME = {2},
YEAR = {2020},
NUMBER = {2},
PAGES = {81--87},
URL = {http://www.techscience.com/jiot/v2n2/40133},
ISSN = {2579-0080},
ABSTRACT = {A good hybrid vehicle control strategy cannot only meet the power 
requirements of the vehicle, but also effectively save fuel and reduce emissions. 
In this paper, the construction of model predictive control in hybrid electric 
vehicle is proposed. The solving process and the use of reference trajectory are 
discussed for the application of MPC based on dynamic programming algorithm.
The simulation of hybrid electric vehicle is carried out under a specific working 
condition. The simulation results show that the control strategy can effectively 
reduce fuel consumption when the torque of engine and motor is reasonably 
distributed, and the effectiveness of the control strategy is verified.},
DOI = {10.32604/jiot.2020.010225}
}