Optimal energy management for hybrid electric aircraft

Doff-Sotta, Martin; Cannon, Mark; Bacic, Marko

doi:10.1016/j.ifacol.2020.12.1672

Cited by 29 publications

(17 citation statements)

References 10 publications

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“…This paper extends the results in [8] to series-hybrid architectures and describes a specialised ADMM solver for efficient online optimisation. The paper is organised as follows.…”

Section: Introductionmentioning

confidence: 64%

“…Although P drv,i depends on the aircraft mass m i , which is itself an optimisation variable, a prior estimate of the required power output can be obtained by assuming a constant mass m i = m 0 for all i. It was shown in [8] that this assumption has a negligible effect on solution accuracy.…”

Section: Reformulation Of the Loss Map Functionsmentioning

confidence: 99%

“…Hybrid-electric propulsion systems rely on energy management controllers to allocate power demand between the different components of the powertrain. The energy management problem can be tackled with heuristic strategies such as peak-shaving schemes [27], charge-depleting-charge-sustaining policies [8], approaches based on state machines [25] and rule-based fuzzy logic [7]. More sophisticated suboptimal control strategies have also been proposed, for example using neural networks [21] and neuro-fuzzy adaptive control [15].…”

Section: Introductionmentioning

confidence: 99%

“…A convex energy management formulation is proposed in [8], which considers a parallel-hybrid aircraft with nonlinear constraints in a model predictive control framework. Fuel consumption is predicted over a future flight profile and is minimised subject to constraints on state, trajectory and physical limitations of the components of the propulsion system.…”

Section: Introductionmentioning

confidence: 99%

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Predictive energy management for hybrid electric aircraft propulsion systems

Doff-Sotta¹,

Cannon²,

Bacic³

2021

Preprint

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We present a Model Predictive Control (MPC) algorithm for energy management in aircraft with hybrid electric propulsion systems consisting of gas turbine and electric motor components. Series and parallel configurations are considered. By combining a point-mass aircraft dynamical model with models of electrical losses and losses in the gas turbine, the fuel consumed over a given future flight path is minimised subject to constraints on the battery, electric motor and gas turbine. The resulting optimisation problem is used to define a predictive energy management control law that takes into account the variation in aircraft mass during flight. We investigate the performance of algorithms for solving this problem. A bespoke Alternating Direction Method of Multipliers (ADMM) algorithm is proposed and compared with a general purpose convex solver (CVX). We show the suitability of the methodology for the context of a real-time online supervisory energy management controller.

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“…This paper extends the results in [8] to series-hybrid architectures and describes a specialised ADMM solver for efficient online optimisation. The paper is organised as follows.…”

Section: Introductionmentioning

confidence: 64%

Section: Reformulation Of the Loss Map Functionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Predictive energy management for hybrid electric aircraft propulsion systems

Doff-Sotta¹,

Cannon²,

Bacic³

2021

Preprint

Self Cite

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“…For instance, HEA optimal energy management is formulated as a convex problem to minimize the fuel consumed over a planned flight path, where the point-mass aircraft dynamic model, the electrical powertrain, and the gas turbine are simplified using quadratic approximations. Furthermore, this study requires the drive power to be approximated a priori by assuming constant aircraft mass for the duration of the flight [121]. A convex multiobjective optimization method is proposed for a hybrid electric aircraft to minimize fuel consumption and polluted emissions during the entire flight mission.…”

Section: Convex Programmingmentioning

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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