To reduce the emissions of greenhouse gasses and maintain environmental sustainability, electric vehicles play a vital role in a modern energy-efficient environment. Permanent magnet synchronous motors (PMSMs) are widely employed in electric vehicle technology due to their high dynamic response, better torque-speed characteristics, noiseless operation, high power density, high efficiency and power factor as compared to other conventional motor drives. This book demonstrates the development of various control strategies and illustrates the dynamic performance intensification of a PMSM drive. To ensure the faster dynamic behaviour and flexibility in control under various operating conditions, the performance of a PMSM drive has been explained. Finally, control strategies have been executed through mathematical modelling and illustration of several case studies for optimal operation. Features: Introduces performance indicators in a self-controlled PMSM machine to justify the dynamic behaviour Discusses comparative performance study and optimization of the drive performance Provides a detailed comparative performance analysis between classical and fuzzy logic controllers in a PMSM drive Includes illustrations and case studies using mathematical modelling and real-time test results Discusses the state of the art in solar-powered energy-efficient PMSM drives with various issues This book is aimed at researchers, graduate students and libraries in electrical engineering with specialization in electric vehicles.

"To reduce the emissions of greenhouse gasses and maintain the environmental sustainability electric vehicles create a vital role in a modern energy-efficient environment. Permanent Magnet Synchronous Motors (PMSM) are widely employed in electric vehicle technology due to its high dynamic response, better torque-speed characteristics, noiseless operation, high power density, high efficiency and power factor as compared to other conventional motor drives. This book demonstrates the development of various control strategies and illustration of dynamic performance intensification of a PMSM drive. To ensure the faster dynamic behavior and flexibility in control under various operating conditions, performance of a PMSM drive has been explained. Finally, control strategies have been executed through mathematical modelling and illustration of several case-studies for optimal operation is also included. Features: Introduces performance indicators in a self-controlled PMSM machine to justify the dynamic behavior. Discusses comparative performance study and optimization of the drive performance. Provides detailed comparative performance analysis between classical and fuzzy logic controllers in a PMSM drive. Includes illustrations and case studies using mathematical modeling and real-time test-results. Discusses state of the art on solar powered energy efficient PMSM drive with various issues. This book aims at researchers, graduate students, and libraries in Electrical Engineering with specialization in Electric Vehicles"--

Permanent magnet synchronous motors (PMSMs) are popular in the electric vehicle industry due to their high-power density, large torque-to-inertia ratio, and high reliability. This book presents an improved field-oriented control (FOC) strategy for PMSMs that utilizes optimal proportional-integral (PI) parameters to achieve robust stability, faster dynamic response, and higher efficiency in the flux-weakening region. The book covers the combined design of a PI current regulator and varying switching frequency pulse-width modulation (PWM), along with an improved linear model predictive control (MPC) strategy. Researchers and graduate students in electrical engineering, systems and control, and electric vehicles will find this book useful. Features: • Implements evolutionary optimization algorithms to improve PMSM performance. • Provides coverage of PMSM control design in the flux-weakening region. • Proposes a modern method of model predictive control to improve the dynamic performance of interior PMSM. • Studies the dynamic performance of two kinds of PMSMs: surface-mounted and interior permanent magnet types. • Includes several case studies and illustrative examples with MATLAB®. This book is aimed at researchers, graduate students, and libraries in electrical engineering with specialization in systems and control and electric vehicles.

Permanent magnet synchronous (PMS) motors stand at the forefront of electric motor development due to their energy saving capabilities and performance potential. This book is a timely advancement along that path as the first comprehensive, self-contained, and thoroughly up-to-date book devoted solely to the control of PMS motors.

This book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems. In the modern power and energy (PaE) domain, the increasing penetration of renewable energy sources (RES) and the consequent empowerment of consumers as a central and active solution to deal with the generation and development variability are driving the PaE system towards a historic paradigm shift. The small-scale, diversity, and especially the number of new players involved in the PaE system potentiate a significant growth of generated data. Moreover, advances in communication (between IoT devices and M2M: machine to machine, man to machine, etc.) and digitalization hugely increased the volume of data that results from PaE components, installations, and systems operation. This data is becoming more and more important for PaE systems operation, maintenance, planning, and scheduling with relevant impact on all involved entities, from producers, consumer,s and aggregators to market and system operators. However, although the PaE community is fully aware of the intrinsic value of those data, the methods to deal with it still necessitate substantial enhancements, development and research. Intelligent data analytics is thereby playing a fundamental role in this domain, by enabling stakeholders to expand their decision-making method and achieve the awareness on the PaE environment. The editors also included demonstrated codes for presented problems for better understanding for beginners.

This book covers the introduction, theory, development, and applications of hybrid and electric vehicles and their charging infrastructures. It also discusses the real applications of power converters and electric drives to give the readers a flavour of how to design propulsion drives and fast charging systems for electric vehicles. It further covers important topics such as static and dynamic wireless charging systems, battery management, and battery swapping systems for electric vehicles. This book: Presents comprehensively different types of electric vehicles and their powertrain architecture. Highlights modern optimization techniques such as genetic algorithms, simulated annealing, particle swarm optimization, and ant colony optimization. Discusses different charging methods such as wired and wireless for a variety of batteries including lead acid, lithium-ion, and vanadium redox. Covers grid-to-vehicle, vehicle-to-grid, and vehicle-to-vehicle bidirectional power flow analysis. Showcases power 2X technologies such as power-to-ammonia, power-to-chemicals, power-to-fuel, power-to-gas, and power-to-hydrogen. The text is primarily written for senior undergraduate and graduate students as well as academic researchers in the fields of electrical engineering, electronics, and communications engineering.

Climate change, urban air quality, and dependency on crude oil are important societal challenges. In the transportation sector especially, clean and energy efficient technologies must be developed. Electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) have gained a growing interest in the vehicle industry. Nowadays, the commercialization of EVs and PHEVs has been possible in different applications (i.e., light duty, medium duty, and heavy duty vehicles) thanks to the advances in energy storage systems, power electronics converters (including DC/DC converters, DC/AC inverters, and battery charging systems), electric machines, and energy efficient power flow control strategies. This book is based on the Special Issue of the journal Applied Sciences on “Plug-In Hybrid Electric Vehicles (PHEVs)”. This collection of research articles includes topics such as novel propulsion systems, emerging power electronics and their control algorithms, emerging electric machines and control techniques, energy storage systems, including BMS, and efficient energy management strategies for hybrid propulsion, vehicle-to-grid (V2G), vehicle-to-home (V2H), grid-to-vehicle (G2V) technologies, and wireless power transfer (WPT) systems.

Electric vehicles are changing transportation dramatically and this unique book merges the many disciplines that contribute research to make EV possible, so the reader is informed about all the underlying science and technologies driving the change. An emission-free mobility system is the only way to save the world from the greenhouse effect and other ecological issues. This belief has led to a tremendous growth in the demand for electric vehicles (EV) and hybrid electric vehicles (HEV), which are predicted to have a promising future based on the goals fixed by the European Commission's Horizon 2020 program. This book brings together the research that has been carried out in the EV/HEV sector and the leading role of advanced optimization techniques with artificial intelligence (AI). This is achieved by compiling the findings of various studies in the electrical, electronics, computer, and mechanical domains for the EV/HEV system. In addition to acting as a hub for information on these research findings, the book also addresses the challenges in the EV/HEV sector and provides proven solutions that involve the most promising AI techniques. Since the commercialization of EVs/HEVs still remains a challenge in industries in terms of performance and cost, these are the two tradeoffs which need to be researched in order to arrive at an optimal solution. Therefore, this book focuses on the convergence of various technologies involved in EVs/HEVs. Since all countries will gradually shift from conventional internal combustion (IC) engine-based vehicles to EVs/HEVs in the near future, it also serves as a useful reliable resource for multidisciplinary researchers and industry teams.

This book presents the select proceedings of Control Instrumentation and System Conference, (CISCON 2020) held at Manipal Institute of Technology, MAHE, Manipal. It examines a wide spectrum covering the latest trends in the fields of instrumentation, sensors and systems, and industrial automation and control. The topics covered include image and signal processing, robotics, renewable energy, power systems and power drives, performance attributes of MEMS, multi-sensor data fusion, machine learning, optimization techniques, process control, safety monitoring, safety critical control, supervisory control, system modeling and virtual instrumentation. The book is a valuable reference for researchers and professionals interested in sensors, adaptive control, automation and control and allied fields.