Comprehensive analysis of cathode air pressure of fuel cell powertrain system of aircraft: Performance, efficiency, and control

Li, Yuanyuan; Hu, Zunyan; Liu, Huize; Xu, Ling; Li, Jianqiu; Xu, Liangfei; Ouyang, Minggao

doi:10.1016/j.enconman.2023.116903

Cited by 12 publications

(1 citation statement)

References 19 publications

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“…This transition necessitates innovative solutions to deal with the challenge arising from long-distance operations without frequent recharging. The growing concern for environmental sustainability and the need to reduce greenhouse gas emissions have led to the increased development and adoption of electric vehicles (EVs) [3]. In particular, extended-range electric logistics vehicles (ERELVs) have gained attention due to their potential to address the limitations of pure electric vehicles by incorporating an auxiliary power source, such as an internal combustion engine or a fuel cell.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy Power Management Strategy for Extended-Range Electric Logistics Vehicles Based on Driving Pattern Recognition

Wei,

Wang,

Chen

et al. 2023

Actuators

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The primary objective of an energy management strategy is to achieve optimal fuel economy through proper energy distribution. The adoption of a fuzzy energy management strategy is hindered due to different reasons, such as uncertainties surrounding its adaptability and sustainability compared to conventional energy control methods. To address this issue, a fuzzy energy management strategy based on long short-term memory neural network driving pattern recognition is proposed. The time-frequency characteristics of vehicle speed are obtained using the Hilbert–Huang transform method. The multi-dimensional features are composed of the time-frequency features of vehicle speed and the time-domain signals of the accelerator pedal and brake pedal. A novel driving pattern recognition approach is designed using a long short-term memory neural network. A dual-input and single-output fuzzy controller is proposed, which takes the required power of the vehicle and the state of charge of the battery as the input, and the comprehensive power of the range extender as the output. The parameters of the fuzzy controller are selected according to the category of driving pattern. The results show that the fuel consumption of the method proposed in this paper is 5.8% lower than that of the traditional fuzzy strategy, and 4.2% lower than the fuzzy strategy of the two-dimensional feature recognition model. In general, the proposed EMS can effectively improve the fuel consumption of extended-range electric vehicles.

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Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy Power Management Strategy for Extended-Range Electric Logistics Vehicles Based on Driving Pattern Recognition

Wei,

Wang,

Chen

et al. 2023

Actuators

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Predictive Control Scheme for Fuel Cell Air Compressor Efficiency Enhancement with Surge‐ and Choke‐Constrained Awareness

Ye,

Zhong,

Shen

et al. 2024

Advcd Theory and Sims

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The efficiency and dynamic response of air compressors are crucial for stability and lifespan of hydrogen fuel cells. A predictive control scheme with surge‐ and choke‐constrained awareness is proposed to ensure safe and efficient operation of air compressors in this study. The proposed scheme consists of an efficiency enhancement model predictive control (EE‐MPC), and an improved active disturbance rejection control (IADRC). Surge‐ and choke‐constrained awareness is achieved by comparing predicted air flow with surge and choke limitations. Simultaneously, the EE‐MPC is constrained with oxygen excess ratio (OER) and obtains optimal solution by searching active set. The reference flow and supply manifold pressure trajectories for IADRC are generated by EE‐MPC. A designed piecewise differentiable nonlinear smoothing function is embedded in IADRC. The disturbances are estimated for coordinating flow and pressure control. Under China heavy‐duty commercial vehicle test cycle for bus conditions, root‐mean‐squared errors (RMSEs) of flow and pressure are 3.27 g s−1 and 1.88 × 103 Pa, respectively, and the mean efficiency can be enhanced by 13.4% compared to the MPC with fixed OER. Finally, a controller hardware‐in‐the‐loop test is conducted, with flow and pressure RMSEs of 2.48 g s−1 and 4.28 × 103 Pa between the test and simulation, respectively.

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Evaluating a 10 kW PEM fuel cell system for unmanned aerial vehicles at different cruising altitudes: A thermal analysis

Jung,

Kim

2024

J Mech Sci Technol

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Comprehensive analysis of cathode air pressure of fuel cell powertrain system of aircraft: Performance, efficiency, and control

Cited by 12 publications

References 19 publications

Adaptive Fuzzy Power Management Strategy for Extended-Range Electric Logistics Vehicles Based on Driving Pattern Recognition

Adaptive Fuzzy Power Management Strategy for Extended-Range Electric Logistics Vehicles Based on Driving Pattern Recognition

Predictive Control Scheme for Fuel Cell Air Compressor Efficiency Enhancement with Surge‐ and Choke‐Constrained Awareness

Evaluating a 10 kW PEM fuel cell system for unmanned aerial vehicles at different cruising altitudes: A thermal analysis

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