Song Hu

• PhD
• Assistant Professor at University of Science and Technology Beijing

The coupling of renewable energy with hydrogen production from water electrolysis is an important way to alleviate the energy shortage. The multi-stack system is the most important technology route to realize large- scale preparation of green hydrogen. Using mixed integer linear programming, this study establishes a multi- stack scheduling model wh...

Improving the energy utilization efficiency of alkaline water electrolysis system (AWE) is one of the urgent problems at this stage. This study explores the heat flow and energy distribution under steady state and cold start processes by establishing a multi-physical field coupled AWE system model including heat transfer, mass transfer and electroc...

Alkaline water electrolysis (AWE) is a relatively mature water electrolysis technology that plays an important role in large-scale green hydrogen production and electrical energy storage. Modeling is a powerful tool for the phenomenon understanding, control analysis, and optimization management of AWE. AWE has various modeling forms, but reviews su...

Proton exchange membrane water electrolyzer (PEMWE) coupled with renewable energy to produce hydrogen is an important part of clean energy acquisition in the future. However, the slow kinetics of the oxygen evolution reaction (OER) hinder the large‐scale application of PEM water electrolysis technology. To deal with the problems existing in the PEM...

Built a 250 kW alkaline electrolysis system and conducted related experimental studies. • Observed the dynamic performance of the electrolysis system in multiple time scales. • Studied the system response characteristics during start-stop and variable load processes. • Pointed out the existing problems of the electrolysis system in terms of dynamic...

Under the background of global carbon neutrality, water electrolysis hydrogen produced is a widely recognized technology to store the fluctuated and intermittent renewable energy. Alkaline water electrolyzer (AWE) is currently the most popular type of water electrolyzers, with the advantages of technology maturity, cost and lifetime. The parasitic...

Proton exchange membrane fuel cells (PEMFC) are a promising clean power source that can be used in a variety of applications such as automobiles, stationary power plants, and portable power devices. The application problem of PEM fuel cells is a multiscale application process involving porous media, consisting of a series of mass, momentum, and ene...

The performance of alkaline water electrolysis (AWE) at high current densities is limited by gas bubble generation on the surface of electrodes, which covers active sites and blocks mass transfer, resulting in lower AWE efficiency. Here, we utilize electro-etching to construct Ni electrodes with hydrophilic and aerophobic surfaces to improve the ef...

Hydrogen energy has become an important way to solve energy crises owing to its non-pollution, high level of efficiency, and wide application. Proton exchange membrane fuel cells (PEMFCs) have received wide attention as an energy conversion device for hydrogen energy. The hydrogen concentration in the PEMFC anode directly determines the output volt...

For proton exchange membrane fuel cell, the accurate physical modeling, involving dynamic modeling and parameter identification, plays a significant role in simulation and control. The literature presents many optimization algorithms, for instance, gradient-based and metaheuristic method, to identify the parameters of the steady-state model, wherea...

The gas-liquid two-phase flow is an important problem in the proton exchange membrane (PEM) electrolysis cell, however the detailed modeling is still difficult due to the complex reaction process. In this work, a comprehensive, three-dimensional, two-phase PEM electrolysis cell model is established and validated by the tested data. The electrochemi...

Noise, vibration and harshness are a big issue for hybrid vehicles especially in range extenders. Traditional vibration control and active damping control are generally used for suppressing vibration. Compared with traditional vibration control, active damping control is more flexible and effective in suppressing vibration. The basic idea of active...

In this paper, a model of a novel on-board cold energy utilization system for a liquid hydrogen (LH2) heavy-duty fuel cell truck is established to evaluate the energy saving effect comprehensively compared to the original LH2 system without cold energy utilization. The cold energy is used for cooling the inlet air of compressor and the coolant of t...

Direct hydrogen production at high pressure by the proton exchange membrane (PEM) can improve the economy of the entire hydrogen-chain. A multi-physical model of a high pressure single-cell electrolyzer is established and the heat transfer, mass transfer, and electrochemical processes are described. The water permeation flow rate is simulated accur...

Further improvement of electrolysis efficiency is one of the main research directions in alkaline water electrolyzer (AWE) hydrogen production technology at present. This paper developed a thermodynamic-electrochemical model and analyzed the effects of characteristic parameters (electrode conductivity, electrode gap, diaphragm porosity and tortuosi...

A good thermal management system can effectively improve the performance of the lithium-ion battery and ensure the thermal safety of the lithium-ion battery. Therefore, based on the heat-generating characteristics of lithium-ion batteries obtained above, this paper established a composite thermal management system including heat pipes, thermally co...

Owing to the scope of large-scale use of hydrogen energy in future technology, addressing safety issues like leakage and diffusion in all steps of production, storage, transportation, etc., will become inevitable. This paper focuses on the volume change of the combustible area after double ferrule joint leaks. First, a calibrated computational flui...

The empirical function-based(EF-based) correlations between parameters in engine model were obtained in our previous work. In this work，using same data and variables set，artificial neural network-based(ANN-based) correlations were trained and generated. Then，EF-based and ANN-based physics engine model(EF-model and ANN-model) were respectively devel...

The use of hydrogen is expected to increase rapidly in the future. Leakage of hydrogen pipework are the main forms of safety problems in hydrogen utilization. In this paper, a numerical model of hydrogen leakage and diffusion in pipe joints was established. The Schlieren + high-speed camera is used in experiments to observe the leakage of hydrogen...

The development and application of hydrogen energy in power generation, automobiles, and energy storage industries are expected to effectively solve the problems of energy waste and pollution. However, because of the inherent characteristics of hydrogen, it is difficult to maintain high safety during production, transportation, storage, and utiliza...

In this paper, a kind of on-board liquid hydrogen (LH2) cold energy utilization system for a heavy-duty fuel cell hybrid truck is proposed. Through this system, the cold energy of LH2 is used for cooling the inlet air of a compressor and the coolant of the accessories cooling system, sequentially, to reduce the parasitic power, including the air co...

This paper is pioneered in developing digital twins by GT-Power software and multi-objective evolutionary optimization (MOEO) using NSGA II algorithm for an Atkinson cycle gasoline engine under China VI emissions standards. Firstly, an experimental investigation is conducted and relevant experimental data is obtained. Based on this, the correspondi...

In order to develop higher performance Atkinson cycle gasoline engine and explore its fuel-saving potential on series hybrid electric vehicles, this study is pioneered in digital twins by GT-Power software, MATLAB/Simulink software and multi objective evolutionary optimization using evolutionary non-dominated sorting genetic algorithm. In the first...

In this work, a control-oriented 0D combustion model for multi-injection diesel engine was established using a combustion model based on accumulated fuel mass approach. Evaporation heat, transfer heat of cylinder, chemical heat release of fuel, pumping loss and friction loss were considered in this model. To meet the computing time requirement of m...

A comparison of four different control-oriented models has been carried out in this paper for the simulation of the main combustion metrics in diesel engines, i.e., combustion phasing, peak firing pressure, and brake mean effective pressure. The aim of the investigation has been to understand the potential of each approach in view of their implemen...

Neural network was employed for the diesel engine responses prediction modelling.The predictive performance of the model according to the network structure, initial weights and thresholds, and the division of training data was studied firstly.Then, two optimization algorithms based on genetic algorithm were developed to solve the instability neural...

In this work, two kinds of partial least squares modelling methods are applied to predict a compressor map: one uses a power function polynomial as the basis function (PLSO), and the other uses a trigonometric function polynomial (PLSN). To demonstrate the potential capabilities of PLSO and PLSN for a typical interpolated prediction and an extrapol...

The multi-objective optimization problems of diesel engines are always challenging for the engineers, especially with the application of new technologies that aim at improving the engine performance and emissions. This paper proposed a novel online optimization approach using NSGA-II coupled with a machine learning method (SVM). The proposed online...

To automatically acquire high accuracy 0-D combustion model based on Wiebe function, in this work, an automatic calibration algorithm is developed to determine and then calibrate standard and double Wiebe function, which combines advantages of the algebra and Levenberg-Marquardt (LM) algorithm and avoids the two methods’ disadvantages. Up to two co...

An analysis of the spark-assisted compression ignition (SACI) combustion process was carried out with Wiebe function. The number of combustion modes was obtained according to the change of form factor (m) and relevance of m(Rm) in combustion process. The single Wiebe function, double Wiebe function and muti-Wiebe function were established. A weight...

In order to reduce the smoke of a sequential-turbocharged diesel engine during the switching process, a real-time controlling and measuring system of compressed air assist was established for a TBD234 diesel engine. An experimental study was performed to investigate the reduction of smoke emissions during the switching process by air injection. The...

The sensitivity of each Wiebe parameter, namely, the efficiency factor ( ), form factor ( ), crank angle of combustion start ( ), and combustion crank angle duration ( ), is analysed to ensure that these parameters are estimated reasonably and precisely. The sensitivity of each Wiebe parameter is roughly positively associated with the heat release...

A turbocharging diesel engine combustion model was established on the basis of three-Wiebe function, and was validated by the 142 test points at operating conditions of two different size turbochargers respectively. 142 sample models and 9 parameters in combustion model at each test point were obtained. Taking into account of the influence of engin...

For diesel engines adopting a sequential turbocharging (STC) system, two-stage turbocharging system, VGT or EGR technique, large fluctuations of inlet and outlet pressure appear, causing operational instability, and decreasing performance. In order to improve the speed controller performance of the engines, a traditional BP-PID governor was modelle...

In order to reduce the development time and costs, and to meet the demands of simulation for variable load loading of nuclear emergency diesel generator sets, a co-simulation environment based on GT-power and Matlab/Simulink is built, which is the basis of the establishment for the transient simulation model of a diesel engine according to load cha...