Article
Green & Sustainable Science & Technology
Umberto Previti, Sebastian Brusca, Antonio Galvagno, Fabio Famoso
Summary: This paper investigates the usage of lithium-ion batteries in hybrid vehicles and analyzes and optimizes the impact of the energy management system on battery life and fuel consumption.
Article
Transportation Science & Technology
Farzad Avishan, Ihsan Yanikoglu, Yaseen Alwesabi
Summary: The public transportation system is undergoing significant changes due to the expansion of electromobility infrastructure and operations. This paper proposes a novel linear programming model to tackle the scheduling and procurement problem of electric fleets under travel time and energy consumption uncertainty. The model is evaluated through Monte Carlo simulation and a case study on a college transport network.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Energy & Fuels
El Marghichi Mouncef, Bouzi Mostafa
Summary: This paper proposes a battery capacity estimation framework based on the sunflower optimization algorithm, which takes into account capacity error sources and uses a reduction strategy of the search space to enhance accuracy. Experimental results demonstrate that this approach has high accuracy and predictive performance.
JOURNAL OF ENERGY STORAGE
(2022)
Review
Green & Sustainable Science & Technology
Md. Sazal Miah, Molla Shahadat Hossain Lipu, Sheikh Tanzim Meraj, Kamrul Hasan, Shaheer Ansari, Taskin Jamal, Hasan Masrur, Rajvikram Madurai Elavarasan, Aini Hussain
Summary: Concerns over growing greenhouse gas emissions and fuel prices have led to extensive research on energy management schemes (EMSs) for electric vehicles (EVs) in recent years. A bibliometric analysis revealed that the highest number of articles related to EV applications were published in 2020, with authors from China, the United States, France, and the United Kingdom contributing the most papers. This analysis highlights existing challenges and suggests potential solutions for future research in the field of optimized EMSs for EV applications.
Article
Engineering, Electrical & Electronic
Shuangqi Li, Pengfei Zhao, Chenghong Gu, Da Huo, Jianwei Li, Shuang Cheng
Summary: This paper proposes a two-stage aging quantification and health-aware energy management method for reducing vehicle battery aging costs in battery energy storage systems (BESS) used in vehicle-to-grid (V2G) and plug-in hybrid electric vehicles (PHEVs). The first stage establishes a battery aging state calibration model, while the second stage develops a neural hybrid optimization-based energy management method. Case studies demonstrate the effectiveness of the developed method in reducing battery aging costs and improving vehicle total economy.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Energy & Fuels
Marcos Tostado-Veliz, Hany M. Hasanien, Rania A. Turky, Ahmad Rezaee Jordehi, Seyed Amir Mansouri, Francisco Jurado
Summary: On-board batteries from electric vehicles can be used as an auxiliary source of energy in domestic installations. Home Energy Management systems are crucial in future smart grids to efficiently use energy in residential applications. However, managing uncertainties caused by intermittent renewable generation, uncertain prices, and behaviors of electric vehicles requires further research. This paper proposes a fully robust Home Energy Management model that accounts for all uncertainties and validates its effectiveness through a case study.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Kevin Mallon, Francis Assadian
Summary: This article investigates the modeling and control of a lithium-ion battery and ultracapacitor hybrid energy storage system for an electric vehicle for improved battery lifespan and energy consumption. It proposes an optimal aging-aware energy management strategy that controls both battery and ultracapacitor aging, resulting in increased battery lifespan with minimal decrease in fuel economy.
Article
Engineering, Electrical & Electronic
Shuangqi Li, Pengfei Zhao, Chenghong Gu, Jianwei Li, Da Huo, Shuang Cheng
Summary: This paper proposes an integrated battery life loss modeling and anti-aging energy management method for improving the total economy of battery energy storage systems in electric vehicles. A multifactorial battery life loss quantification model is established by capturing aging characteristics from cell acceleration aging tests. Two active anti-aging vehicle energy management models are designed, where the battery life loss quantification model is used to generate the aging cost feedback signals.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Chemistry, Physical
Xingwang Tang, Qin Guo, Ming Li, Changhua Wei, Zhiyao Pan, Yongqiang Wang
Summary: This paper designs and analyzes the coupling system of liquid-cooled battery thermal management system (BTMS) and heat pump air conditioning system (HPACS) for battery electric vehicles (BEV). An automatic calibration model of the liquid-cooled BTMS based HPACS is established using support vector regression (SVR) to predict cooling capacity and system coefficient of performance, with particle swarm optimization (PSO) algorithm introduced to optimize the hyper parameters. The proposed PSO-SVR model shows improvement in correlation coefficient and reduction in mean squared error compared to the SVR model, indicating its potential as a new method to fit the complex nonlinear relationships among system COP, cooling capacity, and other influencing factors.
JOURNAL OF POWER SOURCES
(2021)
Review
Energy & Fuels
Omer Kalaf, Davut Solyali, Mohammed Asmael, Qasim Zeeshan, Babak Safaei, Alyaseh Askir
Summary: This review paper summarizes recent publications on battery liquid-cooling systems, discussing battery pack design, liquid-cooling system classification, and coolant performance. Additionally, it investigates the properties and applications of different liquid coolants under the classification of liquid-cooling systems and discusses the differences between various cooling systems.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Volkan Tugan, Ugurcan Yardimci
Summary: In order to ensure the safe and efficient operation of electric vehicle battery systems, a battery thermal management system is needed to remove the heat generated in the batteries. This study focuses on improving the battery thermal management system by investigating different battery module designs and air velocities. Results showed that increasing the air inlet velocity decreased the maximum temperature and maximum temperature difference in the batteries.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Environmental Sciences
Gui Hu Wenzhu Liao, Xuan Luo
Summary: This paper focuses on the reverse logistics issue of waste electric vehicle batteries (WEVBs). From the perspective of circular economy and environmental protection, a multi-participants-based reverse logistics network is designed, and a fuzzy optimization model is proposed to determine the number and location of facilities in the network, aiming to achieve cost reduction, profit increasement and efficiency improvement.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Mohammad Hassan Shojaeefard, Morteza Mollajafari, Nima Edalat Pishe, Seyyed Mohsen Mousavi
Summary: This study evaluates the cooling system of a fuel cell vehicle under various operating conditions and investigates the impact of changing the control system on vehicle performance and cooling efficiency. The optimization results show that increasing the battery capacity extends the range of the vehicle and reduces energy consumption.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Energy & Fuels
Vinayak Kulkarni, Gautam Ghaisas, Shankar Krishnan
Summary: Introducing battery electric vehicles quickly to the market can lead to errors and recalls, which can be avoided by simulating BEVs in an integrated manner. By developing a drivetrain model integrated with cabin, battery, and power electronics models, key system-level outputs are obtained to identify simple energy-conscious actions and quantify energy savings. The integrated model is validated at both component and system levels.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Zhangmiaoge Liu, Zhouxiao Liu, Jianzhao Liu, Ning Wang
Summary: In this study, an optimized fuzzy proportional-integral-differential (Fuzzy PID) algorithm is proposed for a rapid temperature control system in automotive batteries. The algorithm is used to build an intelligent thermal management system with temperature feedback mechanism, employing switchable thermoelectric (TE) devices that offer both heating and cooling capabilities. The battery pack temperature is quickly regulated with the assistance of liquid cooling optimization. Experimental results demonstrate a significant reduction in temperature control time compared to traditional liquid cooling methods.
Article
Agronomy
Matteo Corno, Sara Furioli, Paolo Cesana, Sergio M. Savaresi
Summary: Autonomous driving technology has a significant impact on agriculture, especially in the commercial application of autonomous or semi-autonomous tractors in orchards and vineyards. The paper presents an adaptive localization system based on ultrasonic sensors for agricultural tractors, demonstrating good performance in navigation.
Article
Automation & Control Systems
Stefano Marelli, Matteo Corno
Summary: This paper proposes an electrochemical model-based estimator for the concentration and temperature of a Li-ion cell, utilizing a dual unscented Kalman filter for accurate estimation of spatial distribution. Simulation analysis shows high accuracy in estimating state of charge, lithium concentration, and temperature.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2021)
Article
Automation & Control Systems
Gabriele Pozzato, Silvia C. Strada, Mara Tanelli, Sergio M. Savaresi, Gerhard Dambach
Summary: The article discusses the importance of using accelerometers and gyroscopes to detect tire unbalance and proposes a new sensor layout and structural modification. Experimental results show that this new method can effectively detect unbalance conditions.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Automation & Control Systems
Gianluca Savaia, Youngil Sohn, Simone Formentin, Giulio Panzani, Matteo Corno, Sergio M. Savaresi
Summary: This paper introduces a data-driven tuning method for automatically calibrating proprietary suspension controller parameters, eliminating the need for a team of experts and professional driving hours. By relying on Bayesian Optimization tools and selecting critical degrees of freedom in the algorithm, the effectiveness of the method is validated on both a multi-body simulator and a real car.
CONTROL ENGINEERING PRACTICE
(2021)
Article
Automation & Control Systems
Gianluca Savaia, Giulio Panzani, Matteo Corno, Jacopo Cecconi, Sergio M. Savaresi
Summary: This study presents a semi-active MR model based on a Hammerstein-Wiener scheme, which can be used for force estimation and suspension controller design, and is validated through experiments. Each component serves to characterize specific features of the MR damper, with the Wiener part of the model shown to be essential for modeling the magnetization dynamics of the magnetorheological fluid.
CONTROL ENGINEERING PRACTICE
(2021)
Article
Automation & Control Systems
Matteo Corno
Summary: This article introduces a computationally efficient, control-oriented model of a Li-ion cell that describes both the spatial nature of chemical species and temperature dynamics effectively. The model takes advantage of the distributed nature of the model's algebraic structure, providing an efficient tool for designing model-based estimation and control algorithms. The proposed model is validated against a high order computational fluid dynamics model, demonstrating accuracy and efficiency.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Automation & Control Systems
Matteo Corno, Alessandra Duz, Sergio M. Savaresi
Summary: This article introduces an energy management system (EMS) designed for shared electric bicycles to provide electric assistance to cyclists while preventing battery discharging. The multilayered EMS features an inner layer managing assistance and energy harvesting, a middle layer modulating assistance levels to track average battery power, and an outer loop ensuring long-term robustness by tracking battery state-of-charge profiles. Extensive simulations and tests validate the usability and charge sustainability benefits of the approach, emphasizing the importance of cyclist profiling.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Alessandra Duz, Alex Gimondi, Matteo Corno, Sergio M. Savaresi
Summary: This paper proposes a computationally efficient global speed planner that includes comfort as one of the main objectives for self-driving vehicles. The planner considers energy consumption, trip time, and user-specified constraints to optimize a cost function. The algorithm is tested on a realistic case study, and the trade-off between energy consumption and comfort is quantified.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Automation & Control Systems
Giulio Panzani, Davide Todeschini, Matteo Corno, Davide Sette, Sergio M. Savaresi
Summary: This article proposes a co-design of a stabilization system based on control momentum gyroscopes for powered two-wheelers (PTWs), which could improve the unstable roll dynamics at low speed and also enhance safety and comfort. The joint design of the actuator and its control law through multiobjective optimization problem provides a tool for parameter choice guidance in different directions. The resulting prototype is tested and experimentally validated on a motorcycle in various conditions.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Matteo Corno, Alex Gimondi, Giulio Panzani, Federico Roselli, Andrea Alessandretti, Sergio M. Savaresi
Summary: This article presents a non-optimization-based framework for path planning and tracking for evasive maneuvers in autonomous cars. The framework utilizes a two-layer approach, with a path planner generating a reference trajectory and a path-tracking controller tracking it. The closed-loop performance of the controller is described, and the quantification of the closed-loop performance guides the generation of the evasive path. The proposed framework integrates the characteristics of the path tracker into the path-planner algorithm, eliminating the need for cost functions and third-party optimizers.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2023)
Article
Automation & Control Systems
Giorgio Riva, Stefano Radrizzani, Giulio Panzani, Matteo Corno, Sergio M. Savaresi
Summary: The electrification trend in the automotive industry is impacting racing contexts, with Formula E evolving to its third generation of more powerful electric vehicles. Battery sizing is a critical factor in the performance of electric racing cars.
IEEE CONTROL SYSTEMS LETTERS
(2022)
Article
Automation & Control Systems
Giorgio Riva, Simone Formentin, Matteo Corno, Sergio M. Savaresi
Summary: This letter proposes a Force-based Model Predictive Control (F-MPC) scheme for braking systems, which shows improved performance in slip tracking and optimization compared to state-of-the-art solutions.
IEEE CONTROL SYSTEMS LETTERS
(2022)
Article
Computer Science, Information Systems
Alessandra Duz, Matteo Corno
Summary: This paper examines the challenges, opportunities, and solutions of implementing a free-floating bike sharing system based on electric bicycles. It analyzes two approaches to fleet-level energy management and assistance control, comparing fixed price against flexible pricing methods. The study uses simulation to assess operational costs, revenues, and the impact of design and environmental parameters on the system.
Article
Automation & Control Systems
Gianluca Savaia, Simone Formentin, Giulio Panzani, Matteo Corno, Sergio M. Savaresi
Summary: Semi-active control is widely used in electronic suspension systems to balance comfort and handling. Researchers propose a novel control strategy derived via a sequential learning framework, which can learn the optimal policy from data.
IFAC JOURNAL OF SYSTEMS AND CONTROL
(2021)
Article
Automation & Control Systems
Giulio Panzani, Davide Todeschini, Matteo Corno, Davide Sette, Sergio M. Savaresi
Summary: This article proposes the co-design of a stabilization system based on control momentum gyroscopes, guiding parameters selection through defining a multiobjective optimization problem, resulting in the manufacture and testing of a special prototype with joint design approach.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)