TY - GEN
T1 - Velocity Prediction Based Model Predictive Control for Energy Management in Land and Air Vehicle with Turboshaft Engine
AU - Wei, Zhengchao
AU - Ma, Yue
AU - Xiang, Changle
AU - Liu, Dabo
N1 - Publisher Copyright:
© 2021, Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - In this paper, a land and air vehicle equipped with hybrid power unit with turboshaft engine was introduced, and a velocity prediction-based model predictive control (VPMPC) for the energy management strategy (EMS) was proposed for the vehicle. Firstly, based on the experiment data, the modeling approach based on data driven method was adopted to obtain the mathematical model of turboshaft engine. Besides, the models of generator, battery, motors were established. The deep learning method was adopted to design power predictor by training with random integrated driving cycles to improve the accuracy of the prediction model for the model predictive control (MPC). Subsequently, the EMS based on MPC using the power predictor was introduced to regulate the state of charge of battery and the exhaust gas temperature of turboshaft engine. The compared simulation results of different weight coefficients for proposed EMS were also discussed. The simulation results showed the high accuracy of mathematical model of turboshaft engine, and the effectiveness of the proposed EMS is demonstrated.
AB - In this paper, a land and air vehicle equipped with hybrid power unit with turboshaft engine was introduced, and a velocity prediction-based model predictive control (VPMPC) for the energy management strategy (EMS) was proposed for the vehicle. Firstly, based on the experiment data, the modeling approach based on data driven method was adopted to obtain the mathematical model of turboshaft engine. Besides, the models of generator, battery, motors were established. The deep learning method was adopted to design power predictor by training with random integrated driving cycles to improve the accuracy of the prediction model for the model predictive control (MPC). Subsequently, the EMS based on MPC using the power predictor was introduced to regulate the state of charge of battery and the exhaust gas temperature of turboshaft engine. The compared simulation results of different weight coefficients for proposed EMS were also discussed. The simulation results showed the high accuracy of mathematical model of turboshaft engine, and the effectiveness of the proposed EMS is demonstrated.
KW - Hybrid Power Unit (HPU)
KW - Land and air vehicle
KW - Turboshaft engine
KW - Velocity prediction based Model Predictive Control (VPMPC)
KW - Velocity prediction based on deep learning
UR - http://www.scopus.com/inward/record.url?scp=85118119379&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-7210-1_25
DO - 10.1007/978-981-16-7210-1_25
M3 - Conference contribution
AN - SCOPUS:85118119379
SN - 9789811672095
T3 - Communications in Computer and Information Science
SP - 263
EP - 273
BT - Recent Advances in Sustainable Energy and Intelligent Systems - 7th International Conference on Life System Modeling and Simulation, LSMS 2021 and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, Proceedings
A2 - Li, Kang
A2 - Coombs, Tim
A2 - He, Jinghan
A2 - Tian, Yuchu
A2 - Niu, Qun
A2 - Yang, Zhile
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th International Conference on Life System Modeling and Simulation, LSMS 2021, and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021
Y2 - 22 October 2021 through 24 October 2021
ER -
