Optimal Energy Management of Hybrid Storage Systems Using an Alternative Approach of Pontryagin’s Minimum Principle

Nguyễn, Bảo-Huy; Vo-Duy, Thanh; Ta, Minh C.; Trovão, João P.

doi:10.1109/tte.2021.3063072

Cited by 45 publications

(18 citation statements)

References 32 publications

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“…This method has been widely used in the EMS problem of hybrid electric vehicles [131][132][133]; however, few studies have investigated PMP method application in the field of HEA EMS problems. This is because analytical solutions are frequently not applicable for complicated problems with complex constraints [134].…”

Section: Pontryagin's Minimum Principlementioning

confidence: 99%

Sustainable Aviation Electrification: A Comprehensive Review of Electric Propulsion System Architectures, Energy Management, and Control

2022

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The civil aviation sector plays an increasingly significant role in transportation sustainability in the environmental, economic, and social dimensions. Driven by the concerns of sustainability in the aviation sector, more electrified aircraft propulsion technologies have emerged and form a very promising approach to future sustainable and decarbonized aviation. This review paper aims to provide a comprehensive and broad-scope survey of the recent progress and development trends in sustainable aviation electrification. Firstly, the architectures of electrified aircraft propulsion are presented with a detailed analysis of the benefits, challenges, and studies/applications to date. Then, the challenges and technical barriers of electrified aircraft propulsion control system design are discussed, followed by a summary of the control methods frequently used in aircraft propulsion systems. Next, the mainstream energy management strategies are investigated and further utilized to minimize the block fuel burn, emissions, and economic cost. Finally, an overview of the development trends of aviation electrification is provided.

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Section: Pontryagin's Minimum Principlementioning

confidence: 99%

Sustainable Aviation Electrification: A Comprehensive Review of Electric Propulsion System Architectures, Energy Management, and Control

2022

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“…Therefore, the EMS is the basis of the normal operation of microgrid, and the research of management strategy is the core of the energy management system (Suresh and Meenakumari, 2021). Currently, there are two main research ideas for microgrid energy management strategies, one is a rule-based or empirical control approach and the other is a control approach based on optimal control theory (Dragomir et al, 2021; Liu et al, 2019; Nguyen et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Adaptive global energy optimal management strategy based on the Pontryagin’s minimum principle: An isolated microgrid example

Wang

Hou

Chen

et al. 2023

Transactions of the Institute of Measurement and Control

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Optimal control is a common control strategy to solve complex non-linear systems. Pontryagin’s minimum principle, as a typical optimal control theory, is widely used in energy management systems. Due to the randomness of new energy generation and the diversity of load power consumption, microgrid energy management system is a complex non-linear stochastic system. The efficient operation of microgrid energy management strategy largely depends on the real-time performance of the control algorithm. Pontryagin’s minimum principle is an offline control strategy, whose co-state variable λ depends on expert experience and needs to be manually adjusted according to different working conditions, so it is difficult to achieve real-time optimal control. First, the energy management system model of island-type microgrid is established in this paper. In order to improve the economy of power generation and prevent battery over-charge or over-discharge, the state of charge (SOC) change of battery pack is comprehensively considered, and the fuel cost and pollutant treatment cost are taken as the objective function. Second, an adaptive Pontryagin’s minimum principle energy management strategy is proposed. By introducing the penalty mechanism and adjusting the parameters adaptively, the problem that the open-loop control of Pontryagin’s minimum principle needs to adjust the co-state variables in real time is solved. Comparative experiments show that compared with Pontryagin’s minimum principle and particle swarm optimization, adaptive Pontryagin’s minimum principle can not only limit battery SOC within the ideal range but also effectively reduce the daily operation cost of microgrid. Experimental results verify the effectiveness of the proposed algorithm.

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“…Pontryagin's minimum principle (PMP) can provide analytical solution for global optimal solution but is challenging and complicated to enforce complex constraints in complicated nonlinear systems [10]. Model Predictive control (MPC) is widely used in EMS optimization problems, the rolling optimization problem is solved with a prediction horizon at each sampling to ensure optimization accuracy with acceptable computational speed.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Model Predictive Control-Based Optimal Energy Management for Hybrid Electric Aircraft Considering Aerodynamics-Propulsion Coupling Effects

Zhang

Roumeliotis

Zolotas

2022

IEEE Trans. Transp. Electrific.

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Hybrid electric propulsion systems have been identified as the feasible solutions for regional jets and narrowbody aircraft to reduce block fuel burn, emissions, and operating cost. Different from land-based vehicles, weight is a major consideration for air transport due to weight-related lift-induced drag penalty. Thus, energy onboard balance, variation in aircraft mass during flight and the aerodynamics-propulsion coupling effects should be considered in hybrid electric aircraft energy management strategy (EMS) while satisfying aircraft maximum take-off weight constraints. In this paper, a Nonlinear Model Predictive Control based optimal energy management scheme (MPC-EMS) has been proposed to minimize the block fuel burn during flight. Firstly, the Artificial Neural Network (ANN) model is adopted with back-propagation algorithm to predict turbofan engine performance with high accuracy and computational efficiency, meanwhile gas turbine-electrical powertrain coupling effects are investigated and analysed for typical operating conditions. Then, by combining a point-mass aircraft dynamic model, nonlinear model predictive control with Cross-Entropy Method (CEM) is proposed to obtain optimal energy management based on a fully coupled aerodynamicspropulsion hybrid electric aircraft model. Besides, this state-constrained optimal control problem is re-formulated as a state-unconstrained problem with penalty function to reduce the computational load. Finally, the proposed MPC EMS algorithm is applied to Boeing 737-800 aircraft with mechanically parallel hybrid electric propulsion configuration to minimize the block fuel burn and compared with the optimization results using global Genetic Algorithm (GA) based EMS. The simulation results indicate that the proposed MPC-EMS can significantly reduce the computational time by more than 97% while obtaining similar objectives of block fuel burn and emissions reduction.

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Optimal Energy Management of Hybrid Storage Systems Using an Alternative Approach of Pontryagin’s Minimum Principle

Cited by 45 publications

References 32 publications

Sustainable Aviation Electrification: A Comprehensive Review of Electric Propulsion System Architectures, Energy Management, and Control

Sustainable Aviation Electrification: A Comprehensive Review of Electric Propulsion System Architectures, Energy Management, and Control

Adaptive global energy optimal management strategy based on the Pontryagin’s minimum principle: An isolated microgrid example

Nonlinear Model Predictive Control-Based Optimal Energy Management for Hybrid Electric Aircraft Considering Aerodynamics-Propulsion Coupling Effects

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