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Adaptive idling control scheme and its experimental validation for gasoline engines

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Science China(Information Sciences) 2017年第2期60卷 30-39页

作者： Jiangyan ZHANG jinwu gao Tielong SHEN College of Mechanical and Electronic Engineering Dalian Minzu University Department of Engineering and Applied Sciences Sophia University

In this paper, the idle speed control problem is investigated for spark-ignition(SI) engines. To scope with physical model parameter-free control scheme, a nonlinear adaptive control law is proposed for the speed regulation loop. The stability analysis result shows that the idle speed converges to the set value and the estimated parameter converges to an equivalent static value of the intake manifold. Furthermore, the proposed fuel injection control law consists of a feedforward and a simple feedback loop. Finally, the proposed control scheme is validated based on a full-scaled six-cylinder gasoline engine test bench.

关键词： SI engine idle speed control adaptive control Lyapunov design model-based design

Revisiting the benchmark problem of starting control of combustion engines

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Control Theory and Technology 2019年第2期17卷 148-155页

作者： Jiangyan ZHANG Zhenhui XU jinwu gao State Key Laboratory of Automotive Simulation and Control Changchun Jilin 130025China Department of Control Science and Engineering Jilin UniversityChangchun Jilin 130025China Col lege of Mechanical and Electronic Engineering Dalian Minzu UniversityDalian Liaoning 116600China Department of Engineering and Applied Sciences Sophia UniversityTokyo102-8554Japan

Starting of combustion engines is a typical transient operating mode that has sigrdficant influence to the engine *** to the distinct variations in the pathes of air intake and fuel injection,the model of the engine system contains considerable uncertain *** search effective control schemes that guarantee desired performance,engine starting control is proposed as a benchmark challenge *** a challenging result,a model-based control scheme is developed *** this work,the benchmark problem is revisited and a modification for the fuel injection path control of the previous work is proposed by integrating a time sequence regressive based parameter tuning *** by the benchmark problem simulator shows that although the new strategy has simple structure,similar control performance is ***,the new strategy has potential extensibility with learning based methods to further improve the performance of the benchmark problem on engine starting control.

关键词： Combustion engine starting control transient performance benchmark challenging

Speed planning and energy management strategy of hybrid electric vehicles in a car-following scenario

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Control Theory and Technology 2022年第2期20卷 185-196页

作者： Shengyan Hou Hong Chen Yu Zhang jinwu gao State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun 130022JilinChina Department of Control Science and Engineering Jilin UniversityChangchun 130025JilinChina Department of Control Science and Engineering Tonji UniversityShanghai 200092China Suzhou Zhito Technology Co. Ltd.Suzhou 215129JiangsuChina

The development of intelligent connected technology has brought opportunities and challenges to the design of energy management strategies for hybrid electric ***,to achieve car-following in a connected environment while reducing vehicle fuel consumption,a power split hybrid electric vehicle was used as the research object,and a mathematical model including engine,motor,generator,battery and vehicle longitudinal dynamics is ***,with the goal of vehicle energy saving,a layered optimization framework for hybrid electric vehicles in a networked environment is *** speed planning problem is established in the upper-level controller,and the optimized speed of the vehicle is obtained and input to the lower-level ***,after the lower-level controller reaches the optimized speed,it distributes the torque among the energy sources of the hybrid electric vehicle based on the equivalent consumption minimum *** simulation results show that the proposed layered control framework can achieve good car-following performance and obtain good fuel economy.

关键词： Hybrid electric vehicle Car-following Speed planning Energy management strategy

An ammonia coverage ratio observing and trackingcontroller: stability analysis and simulation evaluation

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Science China(Information Sciences) 2019年第6期62卷 54-71页

作者： Jinghua ZHAO Xun GONG Yunfeng HU jinwu gao Hong CHEN State Key Laboratory of Automotive Simulation and Control Jilin University (Campus Nanling) Department of Control Science and Engineering Jilin University (Campus Nanling) Computer College Jilin Normal University

In urea selective catalytic reduction(urea-SCR) systems, the ammonia coverage ratio is an important parameter for satisfying emission regulations. However, this parameter cannot be directly measured by onboard sensors. Most of observers and tracking controllers for the ammonia coverage ratio in the existing literature were designed separately and lacked an overall robustness analysis. In this paper, an observing and tracking controller(AOTC), along with its overall design and stability analysis, is proposed under inputto-state stability(ISS) theory. The proposed AOTC strategy consists of a sliding mode observer based on NHconcentration dynamics and a tracking controller based on the observer dynamics. The stability is discussed considering the uncertainties about the conversion of urea to NHand the cross-sensitivity of the NOsensor, and the principle for adjusting the control parameters is provided. A few transient simulations are conducted to evaluate the effectiveness of the proposed AOTC strategy.

关键词： diesel emission control urea-SCR system nonlinear control sliding mode observer input-to-state stability

Challenges and developments of automotive fuel cell hybrid power system and control

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Science China(Information Sciences) 2019年第5期62卷 50-74页

作者： jinwu gao Meng LI Yunfeng HU Hong CHEN Yan MA State Key Laboratory of Automotive Simulation and Control Jilin University Department of Control Science and Engineering Jilin University

Fuel cells are emerging as promising power sources and have attracted increasing attention from industries and academics worldwide. In particular, automotive manufacturers are replacing internal combustion engines in vehicles with fuel cell systems, which are advantaged by zero emissions, high efficiency,and various clean routes that generate pure hydrogen. However, current fuel cell systems are costly, and their corresponding infrastructures are not fully qualified to meet current market demand. This paper reviews the challenges and developments of automotive fuel cell hybrid power systems and their controls. It briefly summarizes the model, control, and optimization issue associated with the research and application of fuel cells in hybrid power systems. After presenting the basic knowledge and discussing the trending size and structure of fuel cells for automotive usage, the review describes models of automotive fuel cell systems,focusing on the electrochemical reaction dynamics and the key parameters influencing their efficiency and lifetime. The control problems associated with automotive fuel cell systems as well as the optimization issue associated with hybrid energy systems(comprising fuel cells, batteries, and ultra-capacitors) are elaborately analyzed. The review concludes with current problems and challenges faced by the energy control systems of fuel cell vehicles.

关键词： fuel cell system automotive fuel cell control optimization issue hybrid energy system

Predictive coordinated control of fuel consumption and emissions for diesel engine vehicles under intelligent network environments

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Science China(Information Sciences) 2021年第9期64卷 255-257页

作者： Di LIU Hong CHEN jinwu gao Jinghua ZHAO Yunfeng HU State Key Laboratory of Automotive Simulation and Control Jilin University Department of Control Science and Engineering Jilin University Computer College Jilin Normal University

Dear editor,Diesel engines have been widely used in vehicles because of their excellent fuel efficiency and durability. Although they only represent a small percentage of vehicle ownership, they cause the majority of ... 详细信息

关键词： Information Systems and Communication Service

Combustion phase and RGF control based on multivariate statistical criterion 36

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Combustion phase and RGF control based on multivariate stati...

Challenges and solutions in automotive powertrain systems

第36届中国控制会议

作者： jinwu gao Yahui Zhang Yuhu Wu Tielong Shen State Key Laboratory of Automobile Simulation and Control Jilin University Department of Control Science and Engineering Jilin University Department of Engineering and Applied Sciences Sophia University School of Control Science and Engineering Dalian University of Technology

ISBN: (纸本)9781538629185

Combustion phase and residual gas fraction（RGF） are two important factors affecting fuel efficiency and emission,however,which suffer from the cyclic variation of combustion *** let combustion phase and RGF track their set points and limit the variances,multivariate statistical criterion based controller design is synthesized in this *** spark ignition gasoline engines,spark advance and intake variable valve timing are considered as inputs,CA50 and RGF are controlled parameters where CA50 represents combustion phase,cyclic evolution model is identified at a steady-state condition,then Hotelling’s T2 test is applied to check whether C A50 or RGF needs adjustment,while the gain of controller is still designed based on discrete linear ***,the proposed controller is validated on a 6-cylinder 3.5L Toyota gasoline engine and the effect of statistical criterion is analyzed in the experiments.

关键词： Combustion phase Residual gas fraction Multivariate statistical criterion Cyclic evolution model

来源： cnki会议评论

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Journal of Control and Decision 2018年第1期5卷 61-93页

作者： Tielong Shen Mingxin Kang jinwu gao Jiangyan Zhang Yuhu Wu Department of Engineering and Applied Sciences Sophia UniversityTokyoJapan State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyangP.R.China State Key Laboratory of Automobile Simulation and Control Jilin UniversityChangchunP.R.China College of Mechanical and Electronic Engineering Dalian Minzu UniversityDalianP.R.China School of Control Science and Engineering Dalian University of TechnologyDalianP.R.China

Automotive powertrain mainly consisting of combustion engine,motor and battery(*** for hybrid powertrain)is a very complicated integration system,and the research on the automotive powertrain control techniques remains hot-spot in past *** paper proposes some challenging issues and control solutions of automotive powertrain system from the perspective of the dynamic system *** typical characteristics of automotive powertrain system are analysed for control development,and the several control applications using model-based and model-free control design are demonstrated with sufficient experimental *** addition,some open issues for future powertrain control development are summarised.

关键词： Model-based control model-free control combustion engine automotive powertrain control technology

Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 344-361页

作者： Yunfeng Hu Chong Zhang Bo Wang Jing Zhao Xun Gong jinwu gao Hong Chen State Key Laboratory of Automotive Simulation and Control Jilin UniversityJilin UniversityChangchun 130025China College of Communication Engineering Jilin UniversityJilin UniversityChangchun 130025China Department of Electromechanical Engineering University of MacaoMacao 999078China School of Artificial Intelligence Jilin UniversityChangchun 130012China IEEE College of Electronics and Information Engineering Tongji UniversityShanghai 200092China

Aiming at the tracking problem of a class of discrete nonaffine nonlinear multi-input multi-output(MIMO) repetitive systems subjected to separable and nonseparable disturbances, a novel data-driven iterative learning control(ILC) scheme based on the zeroing neural networks(ZNNs) is proposed. First, the equivalent dynamic linearization data model is obtained by means of dynamic linearization technology, which exists theoretically in the iteration domain. Then, the iterative extended state observer(IESO) is developed to estimate the disturbance and the coupling between systems, and the decoupled dynamic linearization model is obtained for the purpose of controller synthesis. To solve the zero-seeking tracking problem with inherent tolerance of noise,an ILC based on noise-tolerant modified ZNN is proposed. The strict assumptions imposed on the initialization conditions of each iteration in the existing ILC methods can be absolutely removed with our method. In addition, theoretical analysis indicates that the modified ZNN can converge to the exact solution of the zero-seeking tracking problem. Finally, a generalized example and an application-oriented example are presented to verify the effectiveness and superiority of the proposed process.

关键词： Adaptive control control system synthesis data-driven iterative learning control neurocontroller nonlinear discrete time systems

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