Review
Thermodynamics
Xinghui Zhang, Zhao Li, Lingai Luo, Yilin Fan, Zhengyu Du
Summary: Electric vehicles powered by lithium-ion batteries have great potential in alleviating energy and environmental issues, but temperature management is crucial for their development and propagation. Both high and low temperature environments can negatively impact battery performance and safety, requiring proper handling.
Article
Chemistry, Physical
Nikolaos Wassiliadis, Johannes Kriegler, Kareem Abo Gamra, Markus Lienkamp
Summary: The increasing sales of battery electric vehicles have led to their wider use under demanding conditions, such as frequent fast charging and operation under low temperatures. To prevent battery aging and failure, a health-aware fast charging strategy based on a model of reduced order is proposed, which can significantly reduce charging time while prolonging the cycle life of lithium-ion batteries.
JOURNAL OF POWER SOURCES
(2023)
Article
Energy & Fuels
Tae -Won Noh, Dong Hwan Kim, Byoung Kuk Lee
Summary: In this study, a novel online state-of-health (SOH) estimation algorithm for electric vehicles (EVs) is proposed based on the compression ratio of open circuit voltage (OCV)-to-charged capacity curve. The proposed algorithm estimates the degraded capacity at every sampling time during the driving operation through a first-order low-pass filter, which does not require complex mathematical tools and numerous offline data.
JOURNAL OF ENERGY STORAGE
(2023)
Review
Energy & Fuels
Takiah Ebbs-Picken, Carlos M. Da Silva, Cristina H. Amon
Summary: The paper reviews the use of design optimization methodologies in improving the performance, safety, and lifetime of battery thermal management systems (BTMSs) for lithium-ion batteries. It categorizes the studies into various methodologies and identifies current trends, knowledge gaps, and opportunities in BTMS design optimization. Most studies apply multi-objective optimization with genetic algorithms to optimize the design of structural BTMS components, focusing on minimizing maximum battery temperature and spatial temperature gradients. The paper also highlights opportunities for future applications, such as improving hybrid BTMSs, battery lifetime, electric vehicle range, and battery pre-conditioning strategies.
JOURNAL OF ENERGY STORAGE
(2023)
Review
Energy & Fuels
Hafiz Muhammad Ali
Summary: IC engines in transportation sector contribute to air pollution, while EVs with lithium-ion batteries are considered as a green energy solution. This study reviews the prevalent battery thermal management systems (BTMS) for practical implications and analyzes design considerations and international market potential. It also evaluates thermal stability, temperature effects, and different management strategies, and highlights the importance of optimizing BTMS for the dominance of electric vehicles.
Article
Computer Science, Information Systems
Chang-Qing Du, Jian-Bo Shao, Dong-Mei Wu, Zhong Ren, Zhong-Yi Wu, Wei-Qun Ren
Summary: Accurately estimating the state of charge (SOC) and state of health (SOH) is crucial for energy management and safety in electric vehicles. This study proposes a collaborative estimation algorithm based on the Thevenin equivalent circuit model, which combines the recursive least squares method with a forgetting factor and the extended Kalman filter. The algorithm demonstrates good performance at different ambient temperatures and can improve SOC estimation accuracy by calibrating the capacity based on SOH changes.
Review
Energy & Fuels
Nikolaos Wassiliadis, Jakob Schneider, Alexander Frank, Leo Wildfeuer, Xue Lin, Andreas Jossen, Markus Lienkamp
Summary: Despite rapid technological progress, widespread adoption of battery electric vehicles (BEVs) is hindered by limited driving ranges and long charging times. Efforts to reduce charging times to 15 minutes, similar to refueling times for conventional vehicles, face challenges such as accelerated battery aging and safety hazards during operation. Various approaches have been explored to develop fast charging strategies for battery management systems, but consensus on the optimal solution remains elusive. This review evaluates over 50 studies on fast charging strategy determination, analyzing them based on parameterization efforts, battery types studied, and real-world applicability, to identify research gaps and enable transfer to electric vehicle applications.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Yujie Wang, Xingchen Zhang, Zonghai Chen
Summary: This paper provides a systematic review, comparison, and discussion of low temperature preheating techniques for lithium-ion batteries. The basic principles, advantages, and disadvantages of each technique are analyzed and compared in five dimensions. The future development directions and challenges of low temperature preheating techniques for lithium-ion batteries are also discussed.
Review
Chemistry, Physical
Gang Zhao, Xiaolin Wang, Michael Negnevitsky, Hengyun Zhang
Summary: The BTMS is crucial for battery performance in EVs and HEVs, with air-cooling BTMS being widely used in the industry due to its compact structure, reliability, and safety characteristics. By introducing new concepts, innovative designs, and novel thermally conductive materials, the air-cooling efficiency can be greatly improved.
JOURNAL OF POWER SOURCES
(2021)
Review
Energy & Fuels
Siyan Chen, Zhenhai Gao, Tianjun Sun
Summary: This review discusses the general working mechanism of Lithium-ion batteries, the thermal runaway process, trigger conditions, material factors, and advancements in battery safety. It aims to provide a general picture of thermal runaway risks and solutions for safer battery designs.
ENERGY SCIENCE & ENGINEERING
(2021)
Article
Energy & Fuels
Guangzhong Dong, Yuyao Feng, Yifei Wang, Jingwen Wei
Summary: This paper presents a probabilistic scheme for accurately predicting the end-of-discharge time of lithium-ion batteries. It proposes a robust observer design and statistical characterization of future loading profiles for state-of-charge estimation and uncertainty quantification. Experimental results demonstrate the effectiveness of the proposed scheme in accurately predicting the end-of-discharge time.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Pranjali R. Tete, Mahendra M. Gupta, Sandeep S. Joshi
Summary: In the era of sustainable energy revolution, battery storage has emerged as a crucial field, especially in the context of electric vehicles. Efficient energy storage and retrieval in batteries, along with the operating temperature of electric vehicle batteries, are vital for performance optimization. Various cooling systems, such as air, liquid, phase change material, heat pipe, and refrigeration methods, have been discussed in depth in recent experimental and numerical analyses of battery thermal management systems (BTMS).
JOURNAL OF ENERGY STORAGE
(2021)
Article
Chemistry, Physical
Duanmei Song, Jiadong Yu, Mengmeng Wang, Quanyin Tan, Kang Liu, Jinhui Li
Summary: The critical supply of materials for lithium-ion batteries (LIBs) has become highly vulnerable to epidemics and geopolitical influences, highlighting the importance of independent and autonomous in situ recycling of LIBs. Many technologies have been developed rapidly for recycling spent LIBs in the last decade. However, their sustainability is seriously questioned, given the blind pursuit of recycling efficiency and profit maximization, even if the so-called innovative methods.
ENERGY STORAGE MATERIALS
(2023)
Article
Energy & Fuels
Xue Xia, Liang Tang
Summary: This study proposes a model for automotive cylindrical LIBs that can reduce computational effort in EV crash simulations, taking into account various operating conditions and characteristics of LIBs. It provides a powerful tool for analyzing the safety of batteries and battery packs with less computational and analytic effort.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Thermodynamics
Q. L. Yue, C. X. He, M. C. Wu, J. B. Xu, T. S. Zhao
Summary: In this study, a three-dimensional modeling and investigation of a liquid thermal management system for electric vehicle battery packs were conducted. The effects of system structures, coolant flow direction layout, flow rates, and inlet temperatures on thermal performance were explored. The results provide valuable guidance for the development of efficient pack-level liquid battery thermal management systems in electric vehicles.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Automation & Control Systems
Yuxin Su, Chunhong Zheng, Paolo Mercorelli
Summary: This paper addresses the global finite-time stabilization problem for a class of planar nonlinear systems subject to actuator saturation and bounded disturbances. The proposed singularity-free integral sliding mode surface and simple saturated robust control ensure global finite-time stability and avoidance of actuator saturation, with advantages of faster transient and higher steady-state stabilization. Simulations demonstrate the improved performance of the proposed approach.
ASIAN JOURNAL OF CONTROL
(2022)
Article
Computer Science, Information Systems
Oliver Kruse, Aidana Mukhamejanova, Paolo Mercorelli
Summary: This paper deals with the modeling and control of differential steering using Sliding Mode Control and a Super-Twisting Algorithm. A single-track mechanical model is proposed and validated, and a control strategy based on the Super-Twisting Algorithm is proposed to improve the travel comfort and stability of vehicular motion.
Article
Computer Science, Information Systems
Murillo Ferreira Dos Santos, Accacio Ferreira Dos Santos Neto, Leonardo De Mello Honorio, Mathaus Ferreira Da Silva, Paolo Mercorelli
Summary: This paper presents a new topology for controller design based on a combination of the Successive Loop Closure (SLC) method and optimal control, aiming to develop a robust control system for Autonomous Surface Vessels (ASVs). The proposed topology enables the design of robust autopilots based on the Proportional-Integral-Derivative (PID) controller, which are tuned to minimize the effects of model uncertainties. The effectiveness of the proposed controller is verified through a numerical case study of a natural ASV with 3 Degree of Freedom (DoF), demonstrating its robustness and applicability for different prototype scenarios.
Review
Computer Science, Information Systems
Paolo Mercorelli
Summary: This paper discusses the importance of accurately identifying the parameters and states in permanent magnet synchronous motors (PMSMs) and their impact on motor performance and efficiency. The results demonstrate that inaccurate identification of the friction coefficient and moment of inertia leads to poor motor performance, instability, and reduced efficiency. Accurate identification of these parameters is necessary for the proper control and operation of PMSMs. The findings emphasize the significance of accurately identifying these parameters for the efficient and effective operation of PMSMs.
Article
Remote Sensing
Vitor Mainenti Leal Lopes, Leonardo M. Honorio, Murillo F. Santos, Antonio A. N. Pancoti, Mathaus F. Silva, Lucas F. Diniz, Paolo Mercorelli
Summary: It has been discovered that new power transmission line inspection techniques have the potential to improve or replace traditional inspection procedures. Various unmanned aerial vehicles (UAVs) and vehicles that climb on the power transmission line have been developed to revolutionize the inspection market. Additionally, the fusion of technologies such as multi-rotor UAVs and the ability to move over the power transmission line are being explored. This study presents the design, modeling, and control of an over-actuated UAV that can move over the conductor cable without the need for a new locomotion system.
Article
Engineering, Multidisciplinary
Oleg Sergiyenko, Alexey Zhirabok, Paolo Mercorelli, Alexander Zuev, Vladimir Filaretov, Vera Tyrsa
Summary: The methods proposed in this paper for solving fault diagnosis and estimation problems are based on the use of the Jordan canonical form. The paper considers the design problems of diagnostic observers, virtual sensors, interval observers, and sliding mode observers. Algorithms have been developed to handle these problems for both linear and nonlinear systems with external disturbances and measurement noise. The effectiveness of the Jordan canonical form is demonstrated through illustrated examples.
Article
Engineering, Multidisciplinary
Oscar Real-Moreno, Julio C. Rodriguez-Quinonez, Oleg Sergiyenko, Wendy Flores-Fuentes, Paolo Mercorelli, Jorge Alejandro Valdez-Rodriguez, Gabriel Trujillo-Hernandez, Jesus E. Miranda-Vega
Summary: The spatial object detection for autonomous navigation is an active research topic. Many works have been published using object detection and stereo vision systems. The proposed algorithm, SoRA, is a novel template match algorithm with faster run-times and low computational cost. It outperforms existing template match algorithms in terms of accuracy and computational cost, making it ideal for the intended application.
Article
Chemistry, Analytical
Manuel Schimmack, Kvetoslav Belda, Paolo Mercorelli
Summary: This paper presents a specific method of fault detection in transformer systems using the extended Kalman filter (EKF). The study focuses on specific faults occurring in power lines where a transformer is connected, and only the primary electrical quantities are measured. Two EKFs are proposed for fault detection, one for estimating the secondary winding parameters and the other for harmonic detection. The paper emphasizes the importance of EKF observers in sensor fusion and showcases the efficiency of fault detection using simulations.
Review
Computer Science, Information Systems
Paolo Mercorelli
Summary: This paper aims to review literature on tracking problems in the control of permanent magnet synchronous motors, including their control and functionality, such as fault detection and performance evaluation. Permanent magnet synchronous motors are widely used in various motion control systems, known for their high efficiency, high power density, excellent dynamic performance, and limited power ripple.
Proceedings Paper
Automation & Control Systems
L. C. Trindade, P. G. S. Dias, V. F. S. B. Grilo, M. F. Santos, P. Mercorelli
Summary: This paper presents a graphical interface developed on Matlab for controlling first-order systems. The interface allows users to perform system identification and choose control methods, and provides system responses. The developed interface demonstrates the importance of practical control system platforms.
2022 23RD INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC)
(2022)
Proceedings Paper
Automation & Control Systems
Oliver Kruse, Aidana Mukhamejanova, Paolo Mercorelli
Summary: This paper deals with the modeling and control of differential steering using sliding mode control. A four-wheel mechanical model is proposed and validated by simulations. A control strategy based on sliding mode control is proposed to improve the comfort and stability of vehicular motion, and simulation results show its effectiveness.
2022 23RD INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Dzhakhongir Normatov, Paolo Mercorelli
Summary: This paper uses the least squares method to estimate parameter values in the Lotka-Volterra model, using graphics processing unit (GPU) shipments of three key competitors (Nvidia, Intel, AMD) worldwide as data. The goal is to solve the problem and fit the raw data as closely as possible by quantifying the parameter values of the model. The identification procedure compares the sign of the coefficients with the original Lotka-Volterra model structure to recognize the predator-prey relationship among the competitors.
PROCEEDINGS OF THE 2022 17TH CONFERENCE ON COMPUTER SCIENCE AND INTELLIGENCE SYSTEMS (FEDCSIS)
(2022)
Article
Computer Science, Information Systems
Tanja Zwerger, Paolo Mercorelli
Summary: This paper presents a method that uses a combined extended Kalman filter with a bivariate polynomial to estimate L-d and L-q in saturation conditions. It models L-d and L-q as nonlinear augmented states to control a permanent magnetic synchronous machine (PMSM) and achieves continuous monitoring of machine saturation conditions to ensure the desired torque.
Proceedings Paper
Automation & Control Systems
Manuel Schimmack, Paolo Mercorelli
Summary: This paper explores the application of inductorless Chua's circuit in education, aiming to integrate teaching and research in the field of chaotic oscillators, circuit design, signal processing, and control. The analysis and characterization of the dynamical behavior at the undergraduate level are conducted through a workshop in the lab using the Jacobian method. The emphasis is on understanding the electrical components, circuit conditions, and their interpretation of chaotic dynamics in Chua's circuit.
Article
Mathematics, Applied
Paolo Mercorelli
Summary: This paper presents a new theoretical approach for studying the dynamics of robotics manipulators. It is based on the well-known geometric approach to system dynamics, where axiomatic definitions of geometric structures concerning invariant subspaces are utilized. In this framework, typical problems in robotics are mathematically formalized and analyzed using axioms. The results are general enough to discuss the structural properties of robotic manipulation. A generalized theoretical linear model is employed, and a thorough analysis is conducted. The noninteracting nature of this model is also proven through a specific theorem.