Article
Automation & Control Systems
Bohan Zhang, Shaobo Lu, Wenjuan Wu, Caixia Li, Jiafeng Lu
Summary: A robust fault-tolerant control scheme is proposed for distributed actuated electric vehicles, considering driver personality differences and integrating cooperative game and terminal sliding mode control. The scheme uses feedback linearization method to handle nonlinearities and models an interaction framework of virtual subsystems based on cooperative game theory. Additionally, a terminal sliding mode technology-based active compensation control scheme is integrated to handle systemic disturbances caused by actuator faults.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Mathematics
Riccardo Cespi, Renato Galluzzi, Ricardo A. Ramirez-Mendoza, Stefano Di Gennaro
Summary: This paper introduces an active controller for electric vehicles, combining active front steering and torque vectoring for improved driving safety. The control approach relies on an inverse optimal controller based on a neural network identifier and a discrete-time reduced-order state observer to reduce the number of required sensors, enhancing control accuracy.
Article
Engineering, Electrical & Electronic
Xiaoqiang Sun, Yulin Wang, Yingfeng Cai, Pak Kin Wong, Long Chen, Shaoyi Bei
Summary: This article presents a precise, robust, and efficient DYC architecture for FWIA autonomous vehicles using the NTSM control method. It starts by establishing an accurate vehicle lateral dynamics model considering tire nonlinear mechanics. Then, it analyzes the vehicle lateral stability using the phase plane theory and calculates the optimal external yaw moments using the NTSM control algorithm. The proposed controller effectively improves the lateral stability of FWIA autonomous vehicles, eliminates steady errors, and achieves path tracking under extreme conditions.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Engineering, Electrical & Electronic
Quan An, Shuo Cheng, Chenfeng Li, Liang Li, Haonan Peng
Summary: The paper introduces a novel two-agent non-cooperative game framework to address the coordination of trajectory following control and lateral stability control for Autonomous Ground Vehicles. Control strategies based on game theory are proposed and tested through simulations and experiments. Additionally, a Linear Parameter-Varying method is used to facilitate the process of discretizing the state-space model.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Mechanical
Yutian Zhang, Jun Ni, Hanqing Tian, Wei Wu, Jibin Hu
Summary: This paper aims at improving the overall performance of the All-wheel-independently-actuated (AWIA) UGV by proposing a novel integrated control approach based on robust H-2/H-infinity theory. The control objective is to generate additional vehicle active moment by full X-by-wire technique to improve the performance of AWIA UGV in diagonal steering mode under critical circumstances. The proposed control approach is validated by conducting stepsteer experiments on an AWIA UGV testbed.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Xiaolin Ding, Zhenpo Wang, Lei Zhang
Summary: The article proposes a hybrid control-based ASR method for four-wheel-independent-actuated electric vehicles, combining different ASR methods to address low and high speed scenarios with adaptive maximum torque search and robust sliding mode control methods. The proposed approach aims to optimize tire slip ratio regulation by considering signal-to-noise ratio and achieving smooth transitions between driving torques. Test results demonstrate good performance and reliability under various driving conditions.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Review
Engineering, Electrical & Electronic
Ze Zhao, Hamid Taghavifar, Haiping Du, Yechen Qin, Mingming Dong, Liang Gu
Summary: This article discusses the importance, sources, and mitigation methods of vibration in distributed-driven EVs with IWMs, providing a comprehensive review of motor selection, vibration sources, and reduction methods. Emerging research trends and future improvement aims are also summarized, offering valuable insights for researchers interested in this topic.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Automation & Control Systems
Gerardo Amato, Riccardo Marino
Summary: This paper presents a non model-based control architecture, called adaptive slip vectoring, for regulating speed and yaw-rate in a fully electric vehicle equipped with four in-wheel induction motors. An optimal slip allocation strategy is applied to deal with actuator redundancy, and a decentralized feedback control loop is designed to independently drive each in-wheel motor speed to its reference. Realistic CarSim simulations demonstrate the effectiveness of the proposed control strategy in different driving conditions.
CONTROL ENGINEERING PRACTICE
(2023)
Article
Engineering, Electrical & Electronic
Yunfeng Xie, Cong Li, Hui Jing, Weibiao An, Junji Qin
Summary: This study proposes a path tracking and stability-integrated controller based on a model predictive control algorithm for four-wheel independently driven electric vehicles, which can effectively limit the risks associated with high-speed driving on high-adhesion roads and low-adhesion roads.
Article
Engineering, Mechanical
Gerardo Amato, Riccardo Marino
Summary: The control, maneuverability, fault tolerance/isolation, and safety of electric vehicles are significantly improved with the redundant actuator configuration of four-in-wheel electric motors. By implementing a slip vector allocation strategy and distributed electric propulsion, online estimation and allocation of torque loads for the four wheels can be achieved. This allows for operation within the linear tire region and automatic adjustment of driving mode to meet safety requirements.
Article
Engineering, Electrical & Electronic
Jernej Herman, Jovan Bojkovski, Rastko Fiser, Klemen Drobnic
Summary: This article presents an improved synthetic loading method for rapid characterization of in-wheel motors, which emulates mechanical loading at a specific operating point by current harmonic injection. The proposed method uses a novel algorithm based on manufacturer's motor design data for current reference setting and a trapezoidal reference instead of a sinusoidal to increase torque-speed range. The performance of the method is comparable to classic back-to-back testing, with a small difference in motor efficiency measured between the two methods.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Thermodynamics
Qingsong Tang, Yang Yang, Chang Luo, Zhong Yang, Chunyun Fu
Summary: This paper investigates the coordinated control strategy for the electro-hydraulic compound braking system of a pure electric vehicle, enhancing energy recovery efficiency and demonstrating its effectiveness in achieving efficient energy recovery while ensuring stability and safety.
Article
Chemistry, Analytical
Xiaoguang Xu, Miao Wang, Ping Xiao, Jiale Ding, Xiaoyu Zhang
Summary: A Chaotic Random Grey Wolf Optimization-based PID in-wheel motor control algorithm is proposed in this paper to improve the driving performance of four-wheel drive electric vehicles and achieve precise speed control. The algorithm enhances the optimization ability, convergence speed, and accuracy of the traditional Grey Wolf Optimization algorithm by incorporating improved initialization, weight factor adjustment, and population movement strategies. Simulation and bench test results demonstrate significant improvements in response speed and control accuracy.
Article
Automation & Control Systems
Pengxu Li, Panshuo Li, Bin Zhang, Jing Zhao, Baozhu Du
Summary: This paper introduces a control strategy for enhancing the lateral dynamics stability and handling performance of FWIA electric vehicles through a double layers control scheme, including an upper layer controller and a lower layer force distribution method. Simulation results confirm the effectiveness of the proposed strategy.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Shiwei Xu, Lulu Wei, Xiaopeng Zhang, Zhifeng Bai, Yuan Jiao
Summary: This paper proposes a multi-mode drive optimization control strategy based on hierarchical control architecture to improve the economy and dynamics performance of electric vehicles with dual motors on the front axle and a single motor on the rear axle. The strategy optimizes the torque distribution by optimizing energy consumption and uses fuzzy control for torque compensation to enhance vehicle dynamics.
Article
Automation & Control Systems
Zejiang Wang, Xingyu Zhou, Junmin Wang
Summary: Traditional automated vehicle path-tracking algorithms that rely on plant models face challenges in obtaining accurate vehicle models due to complex tire-road interaction. Data-driven controllers, such as model-free control (MFC), have gained popularity. However, the control gain tuning of MFC remains a trial-and-error process. This article proposes integrating MFC with extremum-seeking control (ESC) to improve control performance.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Zejiang Wang, Xingyu Zhou, Heran Shen, Junmin Wang
Summary: Modeling driver steering behavior is crucial in automotive dynamics and control applications. Understanding individual steering characteristics enables advanced driver assistance systems to adapt to drivers and provide enhanced protection. This paper proposes an algebraic method for parameter identification of a driver steering model, which achieves fast convergence compared to traditional methods.
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
(2022)
Article
Energy & Fuels
Heran Shen, Xingyu Zhou, Zejiang Wang, Junmin Wang
Summary: This paper introduces a new method to estimate the battery SOC using a Transformer neural network and I&I adaptive observer. Experimental results demonstrate higher accuracy compared to traditional baseline methods.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Civil
Yao Ma, Junmin Wang
Summary: This study presents a fuel-economical driving strategy for connected and automated vehicles (CAVs) which can significantly reduce fuel consumption by avoiding unnecessary braking and acceleration maneuvers. It also improves fuel performance for human-driven vehicles and has positive impacts on the energy efficiency of the transportation sector.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Automation & Control Systems
Mingcong Cao, Rongrong Wang, Nan Chen, Junmin Wang
Summary: This article proposes an integrated learning-based solution to accurately track the trajectory of the preceding vehicle under LiDAR failure and various lighting conditions in autonomous vehicles. The proposed method combines QLGMM, a weight-scheduled method, and a switchable dual-level LSTM network to improve trajectory tracking and fusion.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Xingyu Zhou, Zejiang Wang, Heran Shen, Junmin Wang
Summary: This paper introduces a mixed L-1/H-2 observer for accurately estimating the driver's steering torque in automated and assistance driving systems. Experimental results demonstrate that the proposed method outperforms the traditional method.
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
(2022)
Article
Computer Science, Theory & Methods
Yunhao Bai, Li Li, Zejiang Wang, Xiaorui Wang, Junmin Wang
Summary: The rapid growth of autonomous driving presents new challenges to traditional vehicle control systems, leading to the proposal of a two-tier real-time scheduling framework AutoE2E that reduces deadline miss ratio and maximizes computing precision for driving control.
Article
Engineering, Civil
Yue Shi, Yiwen Huang, Yan Chen
Summary: The study proposes a trajectory planning strategy for autonomous trucks in collision avoidance scenarios with rollover prevention, ensuring both lateral and roll stability while preserving optimality of planning solutions. The impact of vehicle roll dynamics on trajectory planning is studied, and the effectiveness and feasibility of the strategy are evaluated through co-simulation between Matlab/Simulink and TruckSim.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Zejiang Wang, Xingyu Zhou, Junmin Wang
Summary: This paper proposes an algebraic framework for evaluating a class of car-following models with linearly identified parameters, providing a new method for evaluating and comparing different car-following models.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Heran Shen, Xingyu Zhou, Hyunjin Ahn, Maxavier Lamantia, Pingen Chen, Junmin Wang
Summary: This article proposes a data-driven approach to predict the speed and energy consumption of electric vehicles, taking into account road features and individual driving characteristics. Improved neural networks are used to extract information and a novel energy consumption model is suggested. Experimental results show that the proposed method provides accurate predictions.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Automation & Control Systems
Gang Wang, Mingzhe Liu, Fengchen Wang, Yan Chen
Summary: This letter proposes a novel elliptical lattice to extend the existing flocking theory for cooperative motions of connected and automated vehicles (CAVs) with a desired formation. The elliptical lattice is designed based on the characteristics of the vehicle heading direction, velocity, minimum safety distance, and lane width. A new flocking control law considering road boundaries' repulsive forces is developed to ensure a steady state formation. Simulation results demonstrate the effectiveness of the proposed elliptical lattice in achieving cooperative driving of multi-agent CAVs.
IEEE CONTROL SYSTEMS LETTERS
(2023)
Article
Automation & Control Systems
Shi Lu, Konstantinos Tsakalis, Yan Chen
Summary: This letter proposes a modified high-order fully actuated (HOFA) theory for modeling and control of high-order dynamic systems, including quadrotor systems. The quadrotor model can be essentially converted into two HOFA subsystems without relying on pseudo strict-feedback forms required by the original HOFA approach. A nonlinear 3-DOF quadrotor modeling and control is used as an example to demonstrate the effectiveness of the proposed approach, which can achieve arbitrarily assignable eigenstructure like a stabilized linear system.
IEEE CONTROL SYSTEMS LETTERS
(2023)
Article
Automation & Control Systems
Zejiang Wang, Xingyu Zhou, Adrian Cosio, Junmin Wang
Summary: This paper proposes a novel nonlinear driver-vehicle-road (DVR) model that explicitly considers road curvature. A flatness-based lane-keeping assistance (LKA) system is designed based on this model. Model-Free Control is introduced to compensate for system modeling errors, and the proposed control framework is validated through simulations and experiments.
CONTROL ENGINEERING PRACTICE
(2023)
Article
Automation & Control Systems
Xingyu Zhou, Heran Shen, Zejiang Wang, Hyunjin Ahn, Junmin Wang
Summary: This article proposes a novel driver-centric and neuro-adaptive-control-based lane-keeping assistance system (LKAS) to address the issue of vehicle roadway departure accidents. The system utilizes a noncertainty-equivalent adaptive control design scheme and an adaptive neural network that captures the human driver's steering behavior. A pilot study using a high-fidelity driving simulator validates the effectiveness of the proposed LKAS.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Zejiang Wang, Xingyu Zhou, Junmin Wang
Summary: Traditional automated vehicle path-tracking algorithms require accurate plant models, while data-driven controllers have become popular for not relying on predefined plant models. Model-free control (MFC) offers a straightforward solution for ground vehicle path tracking, but its control gain tuning remains a challenge.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Chemistry, Physical
Tianyu Chen, Zhibin Lu, Guangjin Zeng, Yongmin Xie, Jie Xiao, Zhifeng Xu
Summary: The study introduces a high-performance LSGM electrolyte-supported tubular DC-SOFC stack for portable applications, which shows great potential in developing into high-performing, efficient, and environmentally friendly portable power sources for distributed applications.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Wenbin Tong, Yili Chen, Shijie Gong, Shaokun Zhu, Jie Tian, Jiaqian Qin, Wenyong Chen, Shuanghong Chen
Summary: In this study, a three-dimensional porous NiO interface layer with enhanced anode dynamics is fabricated, forming a Schottky contact with the zinc substrate, allowing rapid and uniform zinc plating both inside and below the interface layer. The resulting NiO@Zn exhibits exceptional stability and high capacity retention.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Yafeng Bai, Kaidi Li, Liying Wang, Yang Gao, Xuesong Li, Xijia Yang, Wei Lu
Summary: In this study, a flexible zinc ion supercapacitor with gel electrolytes, porous alpha-MnO2@reduced graphene oxide cathode, and activated carbon/carbon cloth anode was developed. The device exhibits excellent electrochemical performance and stability, even at low temperatures, with a high cycle retention rate after 5000 cycles.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Anmol Jnawali, Matt D. R. Kok, Francesco Iacoviello, Daniel J. L. Brett, Paul R. Shearing
Summary: This article presents the results of a systematic study on the electrochemical performance and mechanical changes in two types of commercial batteries with different anode chemistry. The study reveals that the swelling of anode layers in batteries with silicon-based components causes deformations in the jelly roll structure, but the presence of a small percentage of silicon does not significantly impact the cycling performance of the cells within the relevant state-of-health range for electric vehicles (EVs). The research suggests that there is room for improving the cell capacities by increasing the silicon loading in composite anodes to meet the increasing demands on EVs.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Yohandys A. Zulueta, My Phuong Pham-Ho, Minh Tho Nguyen
Summary: Advanced atomistic simulations were used to study ion transport in the Na- and K-doped lithium disilicate Li2Si2O5. The results showed that Na and K doping significantly enhanced Li ion diffusion and conduction in the material.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Zongying Han, Hui Dong, Yanru Yang, Hao Yu, Zhibin Yang
Summary: An efficient phase inversion-impregnation approach is developed to fabricate BaO-decorated Ni8 mol% YSZ anode-supported tubular solid oxide fuel cells (SOFCs) with anti-coking properties. BaO nanoislands are successfully introduced inside the Ni-YSZ anode, leading to higher peak power densities and improved stability in methane fuel. Density functional theory calculations suggest that the loading of BaO nanoislands facilitates carbon elimination by capturing and dissociating H2O molecules to generate OH.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Suresh Mamidi, Dan Na, Baeksang Yoon, Henu Sharma, Anil D. Pathak, Kisor Kumar Sahu, Dae Young Lee, Cheul-Ro Lee, Inseok Seo
Summary: Li-CO2 batteries, which utilize CO2 and have a high energy density, are hindered in practical applications due to slow kinetics and safety hazards. This study introduces a stable and highly conductive ceramic-based solid electrolyte and a metal-organic framework catalyst to improve the safety and performance of Li-CO2 batteries. The optimized Li-CO2 cell shows outstanding specific capacity and cycle life, and the post-cycling analysis reveals the degradation mechanism of the electrodes. First-principles calculations based on density functional theory are also performed to understand the interactions between the catalyst and the host electrode. This research demonstrates the potential of MOF cathode catalyst for stable operation in Li-CO2 batteries.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Ganghua Xiang, Zhihuan Qiu, Huilong Fei, Zhigang Liu, Shuangfeng Yin, Yuen Wu
Summary: In this study, a CeFeOx-supported Pt single atoms and subnanometric clusters catalyst was developed, which exhibits enhanced catalytic activity and stability for the preferential oxidation of CO in H2-rich stream through synergistic effect.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Dimitrios Chatzogiannakis, Marcus Fehse, Maria Angeles Cabanero, Natalia Romano, Ashley Black, Damien Saurel, M. Rosa Palacin, Montse Casas-Cabanas
Summary: By coupling electrochemical testing to operando synchrotron based X-ray absorption and powder diffraction experiments, blended positive electrodes consisting of LiMn2O4 spinel (LMO) and layered LiNi0.5Mn0.3Co0.2O2 (NMC) were studied to understand their redox mechanism. It was found that blending NMC with LMO can enhance energy density at high rates, with the blend containing 25% LMO showing the best performance. Testing with a special electrochemical setup revealed that the effective current load on each blend component can vary significantly from the nominal rate and also changes with SoC. Operando studies allowed monitoring of the oxidation state evolution and changes in crystal structure, in line with the expected behavior of individual components considering their electrochemical current loads.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Chiara Cementon, Daniel Dewar, Thrinathreddy Ramireddy, Michael Brennan, Alexey M. Glushenkov
Summary: This Perspective discusses the specific power and power density of lithium-ion capacitors, highlighting the fact that their power characteristics are often underestimated. Through analysis, it is found that lithium-ion capacitors can usually achieve power densities superior to electrochemical supercapacitors, making them excellent alternatives to supercapacitors.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Weihao Wang, Hao Yu, Li Ma, Youquan Zhang, Yuejiao Chen, Libao Chen, Guichao Kuang, Liangjun Zhou, Weifeng Wei
Summary: This study achieved an improved electrolyte with excellent low-temperature and high-voltage performance by regulating the Li+ solvation structure and highly concentrating it. The electrolyte exhibited outstanding oxidation potential and high ionic conductivity under low temperature and high voltage conditions, providing a promising approach for the practical application of high-voltage LIBs.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Martin Bures, Dan Gotz, Jiri Charvat, Milos Svoboda, Jaromir Pocedic, Juraj Kosek, Alexandr Zubov, Petr Mazur
Summary: Vanadium redox flow battery is a promising energy storage solution with long-term durability, non-flammability, and high overall efficiency. Researchers have developed a mathematical model to simulate the charge-discharge cycling of the battery, and found that hydraulic connection of electrolyte tanks is the most effective strategy to reduce capacity losses, achieving a 69% reduction.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
M. Rodriguez-Gomez, J. Campo, A. Orera, F. de La Fuente, J. Valenciano, H. Fricke, D. S. Hussey, Y. Chen, D. Yu, K. An, A. Larrea
Summary: In this study, we analysed the operando performance of industrial lead cells using neutron diffraction experiments. The experiments revealed the evolution of different phases in the positive electrode, showed significant inhomogeneity of phase distribution inside the electrode, and estimated the energy efficiency of the cells.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Jiawei Liu, Chenpeng Wang, Yue Yao, Hao Ye, Yinglong Liu, Yingli Liu, Xiaoru Xu, Zhicong Chen, Huazheng Yang, Gang Wu, Libin Lei, Chao Wang, Bo Liang
Summary: The study focuses on utilizing double conductive Ni-pads as anode collectors in micro-tubular solid oxide fuel cells. The simulation results show excellent performance and stability of DCNPs, and also highlight the potential applications in various fields.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Yang Wang, Kangjie Zhou, Lang Cui, Jiabing Mei, Shengnan Li, Le Li, Wei Fan, Longsheng Zhang, Tianxi Liu
Summary: This study presents a polyimide sandwiched separator (s-PIF) for improving the cycling stability of Li-metal batteries. The s-PIF separator exhibits superior mechanical property, electrolyte adsorption/retention and ion conductivity, and enables dendrite-free Li plating/stripping process.
JOURNAL OF POWER SOURCES
(2024)
