Article
Engineering, Electrical & Electronic
X. M. Zhang, D. P. Yang, X. H. Zeng, Q. T. Wu, Q. F. Qian, D. F. Song
Summary: This paper proposes a data-driven Fast-MPC (FMPC) based dynamic coordination control strategy (DCCS) for a power-split hybrid electric bus to solve the challenge of model accuracy and computational complexity in existing MPC-based DCCS. The proposed strategy ensures the accuracy of the engine dynamic model through a piecewise data fitting method and simplifies the high dimension control model to solve the quadratic optimization problem of MPC. Simulation results demonstrate the effectiveness of the proposed control strategy in achieving good driving comfort and real-time performance.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Mechanical
Yang Rong, Guan Weilai, Wang Kunyu, Huang Wei, Huang Junming, Zhang Song
Summary: This paper focuses on tackling the longitudinal shock issue in the mode switching process of power-split hybrid electric buses. By considering the operational state changes and utilizing motor compensation to limit torque fluctuations, the control strategy effectively reduces the jerk. Dynamic models of the transmission system before and after engine ignition are established, and XGBoost is used to estimate the engine torque. The estimated values are applied in the model predictive controller and sliding mode controller to calculate compensation torque, resulting in significant reduction in jerk during mode switching.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2023)
Article
Computer Science, Information Systems
Rong Yang, Xiaohu Yang, Wei Huang, Song Zhang
Summary: The research utilized LTV-SMPC and PMP-SMPC energy management strategies, forecasting torque and velocity using Markov chain and LSTM, undergoing processes to convert into a linear time-varying model to solve the energy management problem.
Article
Engineering, Electrical & Electronic
Cheng Qiu, Zhaoyang Li, Qifan Tan, Jing Huang, Dexin Wang
Summary: This article proposes a hybrid model linearization predictive control algorithm to suppress the fluctuation of bus voltage in spacecraft. The algorithm utilizes a linear approximation model and a piecewise affine model to control the bidirectional DC-DC converter, and obtains an optimal control law by introducing a multistep prediction strategy and solving the optimization control problem. Simulation and experimental results show that the algorithm can effectively suppress the fluctuation of bus voltage and enhance the system's anti-interference ability.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Engineering, Mechanical
Antonella Castellano, Pietro Stano, Umberto Montanaro, Marco Cammalleri, Aldo Sorniotti
Summary: This paper proposes a new control strategy for hybrid electric vehicles, called Model Predictive Control (MPC), and considers the losses in transmission gears. Through a case study on Chevrolet Volt, the results show that the simplified internal model has a minor impact on fuel consumption performance.
MECHANISM AND MACHINE THEORY
(2024)
Article
Engineering, Electrical & Electronic
Daeseong Park, Mehdi Zadeh
Summary: The article addresses the stability issue of hybrid dc power systems on ships and proposes a predictive control approach to enhance voltage regulation and optimize converter usage. The control strategy is compared with conventional controllers using both simulation and laboratory experimental data, showing significant advantages in terms of fast and stable control performance and steady-state voltage regulation.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Engineering, Electrical & Electronic
Anil Kumar Reddy Siddavatam, Kaushik RajaShekara, Ravi Prakash Reddy, Hao Huang, Harish S. Krishnamoorthy, Zhou Dong, Fei Wang
Summary: This article introduces two electrical architectures for electric/hybrid-electric aircraft propulsion systems to address the issues of the radial baseline architecture. By using these architectures, faults on the bus can be isolated without disconnecting all the propulsion motors, increasing system reliability. The protection strategy and action of circuit breakers are discussed, and the feasibility of interconnecting individual propulsion channels to reduce component oversizing is also analyzed.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Automation & Control Systems
Xiang Tian, Yingfeng Cai, Xiaodong Sun, Zhen Zhu, Yiqiang Xu
Summary: This study proposes a model predictive control method with an estimation of distribution algorithm to optimize the energy flow of plug-in hybrid electric buses (PHEBs). The short-term velocity prediction is achieved using a Markov chain model with online updates, and the energy-flow control problem is formulated as a discrete-time nonlinear optimization problem. The EDA algorithm is incorporated into the MPC-based control framework to efficiently obtain an optimal solution.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Computer Science, Information Systems
Gonzalo Curiel-Olivares, Scott Johnson, Gerardo Escobar, Ricardo Schacht-Rodriguez
Summary: In this study, a model predictive control-based energy management system is designed and implemented to control the power flow of a series hybrid electric agricultural tractor. The system successfully achieves the objectives of battery state of charge regulation and fuel consumption minimization, while also positively impacting battery state of health and temperature compared to a conventional rule-based system.
Article
Thermodynamics
Dongpo Yang, Tong Liu, Dafeng Song, Xuanming Zhang, Xiaohua Zeng
Summary: This study proposes a Real time Multi-objective optimization Guided-MPC strategy (RMGMPC) for efficiency-oriented power-split hybrid electric buses (PSHEB). The strategy includes a vehicle speed prediction controller, a SOC reference generator, and the novel RMGMPC based on the direct multiple shooting method and sequential quadratic programming algorithm. The proposed RMGMPC achieves high fuel economy, improved shifting times, and reduced calculation time compared to MPC-DP. The results are verified through HIL testing.
Article
Engineering, Electrical & Electronic
Ali Haseltalab, Faisal Wani, Rudy R. Negenborn
Summary: This paper proposes a multi-level approach for hybrid power generation control in the shipping industry, modeling the on-board power system and utilizing Model Predictive Control to consider the impact of DC current on DC voltage control. The results of the study suggest that this approach may improve power generation and stability control for constant power loaded microgrids.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Philip Griefnow, Moritz Jakoby, Lorenz Doerschel, Jakob Andert
Summary: This study introduces a nonlinear model predictive control (NMPC) approach for a 48V mild hybrid powertrain, which can enhance both response behavior and energy consumption simultaneously. Through analysis and verification, it is found that NMPC is effective in controlling the system even under transient situations with disturbance variables. This control method enables fuel saving and improved driving dynamics.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Automation & Control Systems
Chao Yang, Muyao Wang, Weida Wang, Ruihu Chen, Yue Ma, Changle Xiang, Gen Zeng
Summary: This study proposes a power preconditioning-based power flow predictive control strategy for heavy-duty series hybrid electric vehicles (SHEVs). The strategy uses demand power prediction to increase power output in advance and employs a fast iteration sequential quadratic programming (SQP) algorithm for model predictive control. Simulation and hardware-in-loop tests validate the strategy, showing a 5.39% reduction in fuel consumption compared to strategies without power preconditioning, a 40 V higher battery voltage, and a 20 ms shorter computing step size.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Wai-Kit Sou, Pak-Ian Chan, Cheng Gong, Chi-Seng Lam
Summary: This article proposes a finite-set model predictive control with coupling capacitor voltage observer for thyristor-controlled LC-coupling hybrid active power filter, which ensures fast transient response, low steady-state error, and good robustness under both inductive and capacitive load situations.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
A. John Rose, G. Anandha Kumar, A. Ragavendiran, A. Kalaimurugan
Summary: A FL-based control technique for UPFC is proposed to address power quality issues in transmission network. The FL-based controllers for shunt and series converters of UPFC are designed using MATLAB/Simulink and validated on a 4-bus system. The performance of FL-based UPFC is compared with other controllers, and the results show improved settling time and steady-state error. The simulation results demonstrate that the FL-based UPFC controller ensures robustness and resolves power quality issues, such as reactive power compensation, voltage sag mitigation, and THD reduction, meeting IEEE standards.
JOURNAL OF SENSORS
(2023)
