Yangqian Meng

Marine Design & Research Institute of China

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Changzhao Jiang

Brunel University of London

Dai Liu

Tsinghua–Berkeley Shenzhen Institute

Long Liu

Harbin Engineering University

Xiannan Li

Kansas State University

Jian Zhang

Guangxi University of Science and Technology

Peiyu Hou

China Aerospace Science and Industry Corporation (China)

Xiuzhen Ma

Harbin Engineering University

Yantao Zhang

Hebei University of Science and Technology

Ge Gao

Tongji University

Zhongyue Zi

Qingdao Institute of Bioenergy and Bioprocess Technology

Cooperative Institutions

Harbin Engineering University

Marine Design & Research Institute of China

University of Birmingham

Wuhan University

Renmin Hospital of Wuhan University

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Thaksin University

China Shipbuilding Industry Corporation (China)

China Aerospace Science and Industry Corporation (China)

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Modelling and multi-objective combustion optimization of marine engine with speed maintaining control target

Thermal Science and Engineering Progress (2023)

Jian Zhang Yangqian Meng Dai Liu Long Liu Xiuzhen Ma

10.1016/j.tsep.2023.101852

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Citations (7)

Modelling and Multi-Objective Combustion Optimization of Marine Engine with Speed Maintaining Control Target

SSRN Electronic Journal (2022)

Jian Zhang Yangqian Meng Dai Liu Long Liu Xiuzhen Ma

In this paper, the modelling and optimized control problem for the marine diesel engine combustion characteristics has been investigated. For marine diesel engine, it is of significant importance to select proper combustion control parameters, by which the target engine speed is maintained stable while economy and emission can be upgraded simultaneously. Firstly, a data-driven model of the marine diesel engine combustion characteristics is established by combining the artificial neural network and Takagi-Sugeno fuzzy modelling methods, with which the overall operating conditions are covered. Then, a double closed-loop control scheme is proposed. The outer loop adjusts the engine speed according to time-varying load requirements, whereas the inner loop aims at optimizing the combustion performance and maintaining the target speed stabilized by the outer loop. Furthermore, the NSGA Ⅲ algorithm with constraints is applied to the data-driven model for multi-objective optimization of combustion performance. The results show that the data-driven model accurately estimate the specification of the engine under various loads. Meanwhile, the proposed double-loop control loop can optimize the combustion while maintaining the navigation stability. Compared with the original machine, a simultaneous reduction of 3.57g/kWh for the brake specific fuel consumption and 9.69% for brake specific NOX emission is achieved, and NOX emission of the optimized marine diesel engine is reduced by 39.2% compared with the Tier Ⅱ legal requirements.

10.2139/ssrn.4305649

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Citations (1)

Hierarchical Li-rich oxide microspheres assembled from {010} exposed primary grains for high-rate lithium-ion batteries

New Journal of Chemistry (2020)

Zhongyue Zi Yantao Zhang Yangqian Meng Ge Gao Peiyu Hou

The wide particle size distribution of LLO microspheres assembled from {010} exposed primary grains is proposed to improve their Li⁺ kinetics and tap-density.

Primary (astronomy)

10.1039/d0nj00274g

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Citations (11)