Zhen Liu

University of Electronic Science and Technology of China

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i-10 index

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Wenjuan Mei

University of Electronic Science and Technology of China

Yuanzhang Su

University of Electronic Science and Technology of China

Xiuyun Zhou

University of Electronic Science and Technology of China

Bing Long

University of Electronic Science and Technology of China

Chenglin Yang

Jilin Agricultural University

Jianguo Huang

ShanghaiTech University

Xiaowu Chen

University of Electronic Science and Technology of China

Shulin Tian

University of Electronic Science and Technology of China

Han‐Xiong Li

City University of Hong Kong

Kunping Wu

University of Electronic Science and Technology of China

Cooperative Institutions

University of Electronic Science and Technology of China

138

Chinese Academy of Sciences

Tsinghua University

Zhejiang University

University of Chinese Academy of Sciences

Huazhong University of Science and Technology

Jilin University

Northeastern University

Shanghai Jiao Tong University

Tongji University

Author Statistics

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The optimisation design of CFRP bumper beam based on ply compatibility

International Journal of Vehicle Design (2024)

Wei Lv Aotian Tang Zhen Liu Jing Chen Sen Xu

10.1504/ijvd.2024.10061814

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The optimisation design of CFRP bumper beam based on ply compatibility

International Journal of Vehicle Design (2024)

Jing Chen Sen Xu Zhen Liu Aotian Tang Wei Lv

In recent years, the global car ownership has continued to grow. In order to reduce the energy consumption rate of automobiles and improve the driving dynamics of automobiles, automobile lightweight technology has been widely used in the automobile industry. At the same time, with the continuous development of new material technology, various low-density and high-strength materials (aluminium alloy, high-strength steel, carbon fibre, basalt fibre, glass fibre, etc.) are gradually being used in some parts of automobiles. The purpose of this paper is to carry out the lightweight and optimal design of the carbon fibre reinforced polymer front bumper beam of the automobile by optimising the ply design of the carbon fibre reinforced polymer bumper beam based on the compatibility of the laminate layup. Compared with the traditional steel bumper beam, it has finally achieved 47.61% weight reduction while ensuring the collision performance.

10.1504/ijvd.2024.136236

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Joint Blocklength and Trajectory Optimizations for URLLC-enabled UAV Relay System

IEEE Communications Letters (2023)

Haoyang Di Xiaodong Zhu Zhen Liu Xiaodong Tu

In this paper, we investigate the joint design of blocklength resource allocation and unmanned aerial vehicle (UAV) trajectory for the ultra-reliable and low-latency communication (URLLC)-enabled UAV relay wireless communication system utilizing the decode-and-forward (DF) protocol, where a UAV acts as a relay to assist the communication from a ground base station to multiple ground users. Unlike the existing works that mainly focus on the UAV position and decoding errors, this paper aims to maximize the end-to-end information rate by optimizing the blocklengths and UAV trajectory, subject to the requirements of UAV flight limitations and finite blocklengths. Although the formulated problem is an intractable non-convex problem with mixed integer programming, by analyzing the structure of the problem, we develop an effective solution algorithm combining successive convex approximation (SCA), relaxation, and integerization techniques. Simulation results verify the effectiveness of the proposed algorithm.

Trajectory Optimization

10.1109/lcomm.2023.3335655

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Multi-Engine Packet Classification Hardware Accelerator

Alan Kennedy Zhen Liu Xiaojun Wang Bin Liu

As line rates increase, the task of designing high performance architectures with reduced power consumption for the processing of router traffic remains important. In this paper, we present a multi-engine packet classification hardware accelerator, which gives increased performance and reduced power consumption. It follows the basic idea of decision-tree based packet classification algorithms, such as HiCuts and HyperCuts, in which the hyperspace represented by the ruleset is recursively divided into smaller subspaces according to some heuristics. Each classification engine consists of a Trie Traverser which is responsible for finding the leaf node corresponding to the incoming packet, and a Leaf Node Searcher that reports the matching rule in the leaf node. The packet classification engine utilizes the possibility of ultra-wide memory word provided by FPGA block RAM to store the decision tree data structure, in an attempt to reduce the number of memory accesses needed for the classification. Since the clock rate of an individual engine cannot catch up to that of the internal memory, multiple classification engines are used to increase the throughput. The implementations in two different FPGAs show that this architecture can reach a searching speed of 169 million packets per second (mpps) with synthesized ACL, FW and IPC rulesets. Further analysis reveals that compared to state of the art TCAM solutions, a power savings of up to 72% and an increase in throughput of up to 27% can be achieved.

Hardware acceleration

10.1109/icccn.2009.5235260

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Citations (12)

User experience evaluation of intelligent sports bracelet based on multi-factor fusion

International Journal of Product Development (2022)

Wei Liu Zhen Liu

In order to overcome the problems of the traditional methods, such as the low accuracy of calculating the weight of evaluation factors, the high error rate of evaluation and the long output time of evaluation results, a user experience evaluation method based on multi-factor fusion was proposed. Building intelligent motion bracelet user experience evaluation system, determine various evaluation factors relative to the membership degree of evaluation factor set, to construct judgment matrix, get the weights of preliminary results, the weighting results are consistency check, get the final weight calculation results, and the multi-factor fusion method was used to construct intelligent motion bracelet user experience evaluation model, get the final user experience evaluation result. Experimental results show that the calculation accuracy of the weight of evaluation factors is more than 94%, the error rate of evaluation varies from 0 to 2%, and the average output time of evaluation results is 0.62 s.

Factor (programming language)

Sensor Fusion

Repeatability

10.1504/ijpd.2022.125343

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Citations (1)

Handling Fault Diagnosis Problem of Linear-Analogue Circuits with Voltage Phasor Measurement

Mathematical Problems in Engineering (2014)

Xin Gao Houjun Wang Zhen Liu

This paper proposes a novel method to estimate the influence of hard-fault in linear-analogue circuit system based on the measurement of voltage phasor with assistant branch introduced. Furthermore, a new fault diagnosis strategy based on the voltage phasor modeling is established, and the tolerance influence on the corresponding voltage measurement is also discussed. The actual analogue circuit test shows us that the proposed method is effective and reliable to locate the accurate fault signature in voltage measurement for the fault diagnosis. As a matter of fact, it includes both the amplitude and phase information in a complex value form when the linear-analogue circuit is under the AC test. Besides, it can be also applied to ambiguous groups and the sensitive test-frequencies determination in the process of fault diagnosis,while the effectiveness of multifrequencies test has also been testified through test-frequencies sweeping investigation and the maximum error evaluation of fault component value in the second circuit example.

10.1155/2014/879402

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Circle Equation-Based Fault Modeling Method for Linear Analog Circuits

IEEE Transactions on Instrumentation and Measurement (2014)

Shulin Tian Chenglin Yang Chen Fang Zhen Liu

Owing to the lack of feasible fault modeling method, hard (open and short) faults and discrete parameter faults are still the mostly used fault models. These models cannot characterize all soft faults occurring in analog circuits because the parameters of analog element are continuous. To address this concern, a new circle equation-based modeling method is developed. In a linear analog circuit, we prove that the real and imaginary parts of voltage phasor at any test node satisfy circle equation with respect to any network element. The equation is independent from the value of element to be modeled, and uniquely determined by its location and the nominal values of the remaining elements in the circuit under test. Hence, the circle equation can model any continuous parameter shifting (soft) or hard fault occurs to linear and piecewise linear circuits. Three points are sufficient to determine a circle; therefore, only three simulations corresponding to three distinct faulty parameters are enough to model all parameter shifting faults that occur in any network element. The effectiveness of the proposed approach is verified by simulation and comparison with other modeling methods.

Analogue electronics

Fault model

Linear equation

10.1109/tim.2014.2307993

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Citations (20)

Study on the Influence of Parasitic Parameters on the Switching Characteristics and High Frequency Oscillation of SiC MOSFET

Lecture notes in electrical engineering (2022)

Gongde Xu Yuanyuan Sun Zhenguang Liang Zhen Liu Lisheng Li

Oscillation (cell signaling)

Switching time

Fast switching

10.1007/978-981-19-1922-0_1

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Citations (1)

Transfer Learning-Based Remaining Useful Life Prediction Method for Lithium-Ion Batteries Considering Individual Differences

Applied Sciences (2024)

Borui Gu Zhen Liu

With the wide utilization of lithium-ion batteries in the fields of electronic devices, electric vehicles, aviation, and aerospace, the prediction of remaining useful life (RUL) for lithium batteries is important. Considering the influence of the environment and manufacturing process, the degradation features differ between the historical batteries and the target ones, and such differences are called individual differences. Currently, lithium battery RUL prediction methods generally use the characteristics of a large group of historical samples to represent the target battery. However, these methods may be vulnerable to individual differences between historical batteries and target ones, which leads to poor accuracy. In order to solve the issue, this paper proposes a prediction method based on transfer learning that fully takes individual differences into consideration. It utilizes an extreme learning machine (ELM) twice. In the first stage, the relationship between the capacity degradation rate and the remaining capacity is constructed by an ELM to obtain the adjusting factor. Then, an ELM-based transfer learning method is used to establish the connection between the remaining capacity and the RUL. Finally, the prediction result is adjusted by the adjusting factor obtained in the first stage. Compared with existing typical data-driven models, the proposed method has better accuracy and efficiency.

Battery capacity

Extreme Learning Machine

Degradation

10.3390/app14020698

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Citations (4)

Real-Time Prediction Method for Performance Degradation Trend Based on Reliability Experimental Data

Applied Mechanics and Materials (2013)

Chen Liang Song Zhen Liu Bin Long Yang Cheng

According to the real-time prediction for performance degradation trend, the commonly used method is just based on field data. But this methods prediction result will not be so much ideal when the fitting of degradation trend of field data is not good. To solve the problem, the paper introduces a new method which is not only based on field method but also based on reliability experimental data coming from the history experiment. We use the relationship between the field data and reliability experimental data to get the result of the two kinds of data respectively and then get the weights according to the two prediction results. Finally, the final real-time prediction result for performance degradation tendency can obtain by allocating the weights to the two prediction results.

Degradation

10.4028/www.scientific.net/amm.321-324.757

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Citations (3)