Rui Xiong received his MSc degree in vehicle engineering and PhD degree in mechanical engineering from Beijing Institute of Technology, Beijing, China, in 2010 and 2014, respectively. He conducted scientific research as a joint PhD student in the DOE GATE Centre for Electric Drive Transportation at the University of Michigan, Dearborn, MI, USA, between 2012 and 2014.

Since 2014, he has been an Associate Professor in the Department of Vehicle Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China. Since 2017, he has been an Adjunct Professor at the Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, Australia. He has conducted extensive research on electric vehicles and hybrid electric vehicles, energy storage and battery management systems, and authored more than 100 peer‐reviewed articles and held ten patents in the relevant research fields.

Dr Xiong was a recipient of the Excellent Doctoral Dissertation from Beijing Institute of Technology in 2014, and the first prize of the Chinese Automobile Industry Science and Technology Invention Award in 2018. He received the 2018 Best Vehicular Electronics Paper Award recognizing his paper as the best paper in Vehicular Electronics that had been published in the IEEE Transactions on Vehicular Technology over the past 5 years, and the Best Paper Awards from Energies. He is as an Associate Editor of IEEE Access, and an Associate Editor of SAE International Journal of Alternative Powertrains. He is also serving on the Editorial Board of Applied Energy, Energies, Sustainability, and Batteries. He was a conference chair of the International Symposium on Electric Vehicles (ISEV2017) held in Stockholm, Sweden, 2017, and a conference chair of the International Conference on Electric and Intelligent Vehicles (ICEIV 2018) held in Melbourne, Australia, 2018.

Weixiang Shen received his BEng, MEng and PhD degrees in electrical engineering. Dr Shen is an Associate Professor at the Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, Australia. From 1993 to 1994, he was a Visiting Scholar at The University of Stuttgart, Stuttgart, Germany, where he worked on battery management systems for photovoltaic systems. From 2003 to 2007, he was a Lecturer and Senior Lecturer at Monash University, Malaysia. From 2008 to 2009, he was a research fellow with Nanyang Technological University, Singapore, focusing on battery management systems for purifying wastewater based on membrane technology using solar photovoltaic systems. His research interests include battery charging, battery capacity estimation, battery management systems and integration of electric vehicles and renewable energy sources into power grids. He has authored or co‐authored more than 80 papers published by peer‐reviewed journals in the relevant research areas.

Dr Shen is an editor for the journal Vehicles, a guest editor for a special issue on “Advanced Energy Storage Techniques towards Sustainable Transportation” for the journal Sustainability, and a guest editor for a special issue on “Advanced Energy Storage Technologies and Their Applications” for the journal IEEE Access. He is an active reviewer for leading journals such as IEEE Transaction on Vehicular Technology, IEEE Transaction on Power Electronics, IEEE Transaction on Industrial Electronics, IEEE Transaction on Energy Conversion, and Journal of Power Sources. He also served as a conference organizing committee member and session chair for a few international conferences, such as The IEEE International Conference on Industrial Electronics and Applications (ICIEA) in 2008–2018. He was a general chair of the International Conference on Energy, Ecology and Environment (ICEEE2018) held in Melbourne, Australia, 2018.

The promotion of electric vehicles is part of a national strategy to reduce oil consumption and air pollution in many countries around the world. In China, the electric vehicle industry has been designated by the central government as a strategic emerging industry that represents what is considered to be the future of automobiles. It is well known that the advancement of battery technologies is crucial to the safe and efficient operation of electric vehicles. The two fundamental characteristics about battery technologies that affect the cost of operation, performance, and durability are power density and energy density. For vehicle applications, it is desirable that batteries have both high power density and high energy density, but there is generally a trade‐off between these two characteristics, resulting in higher power density with a correspondingly lower energy density, or higher energy density with a lower power density.

In recent years, lithium‐ion batteries have been widely accepted for electric vehicle applications due to their superiority in high energy density, high power density, and long cycle life. They exhibit strong coupling effects among electric, thermal and mechanical behaviors in electric vehicle applications, leading to strong time‐varying, ambient temperature dependent and nonlinear characteristics. However, there are few measurable parameters for controlling and monitoring batteries. Currently, the most popular parameters are battery terminal voltage, charge/discharge current, and surface temperature. The lack of effective measurable parameters further complicates and challenges the development of lithium‐ion battery management systems for electric vehicles. The key technologies involved in battery management systems include battery modeling, battery state estimation, battery charging and battery balancing. The fundamental solution to achieving active management of battery systems is to improve battery model accuracy, develop robust multi‐scale and multi‐state estimation approaches, and optimize charging and balancing processes. Research on any of these topics would contribute to the improvement of battery management systems that could reduce the risk of fire or explosion, caused by overcurrent, overvoltage, or overcharge/discharge.

The book Advanced Battery Management Technologies for Electric Vehicles is the culmination of more than a decade of research by Associate Professors Rui Xiong and Weixiang Shen on all important aspects of battery management systems for electric vehicles, including battery system modeling, state of charge estimation, state of energy estimation, state of health estimation, state of power estimation, battery charging and battery balancing, and the implementation of battery management systems. In particular, the book has a comprehensive coverage of the technical details of the core algorithms, which can realize the main functions of battery management systems in electric vehicles. Therefore, this book is not only a valuable reference for professionals, researchers and practicing engineers in battery management systems in electric vehicles and energy storage, but it can also be used as a course book for undergraduate as well as graduate students in engineering, particularly in automotive and electrical engineering.

Associate Professor Xiong is a former PhD student of mine. He started his master and doctoral programs at Beijing Institute of Technology (BIT) in 2008 and 2010, respectively. Immediately after receiving his PhD in 2014, he joined the research team in the National Engineering Laboratory for Electric Vehicles at BIT. Since then, he has been focusing on the research and development of battery management technologies in electric vehicles and carrying out systematic and in‐depth investigations in cutting edge electric vehicle technologies on battery testing, battery modeling, battery states estimation, durability, safety and battery system integration and management, yielding fruitful achievements. This book is the representation of his persistent efforts in the development of advanced battery management technologies. It has also resulted from his close collaboration with Associate Professor Shen, an internationally renowned expert in battery state estimation, battery charging and battery balancing for electric vehicles.

I highly recommend this book not only because it is the first book exclusively devoted to advanced battery management technologies but also because it is the brainchild of Associate Professor Xiong who has made outstanding contributions to the development of battery management algorithms and has played a unique role in promoting advanced and intelligent battery management systems for all‐climate electric vehicles. The results reported in this book are based on the technological achievements of the National Engineering Laboratory for Electric Vehicles at BIT and attributed to his extensive cooperation with top electric vehicle makers in China such as BAIC BJEV, ZhengZhou Yutong Bus, Huawei, and United Automotive Electronics. In summary, this book is a must‐read for anyone who wants to understand the core algorithms and relevant technologies of battery management systems for electric vehicles.

Two great challenges facing the Chinese automotive industry are climate change and energy security. First, China is the largest country in automotive production and sales in the world. Chinese vehicle sales and production exceeded 28 million in 2017, accounting for one‐quarter of total world sales, and ranked first in the world for nine consecutive years. This has caused severe urban air pollution. Research shows that tailpipe emissions of current internal combustion engine vehicles are the main source of urban air pollution. They account for approximately 24% of pollution in some major cities, including Beijing, Tianjin, and Shanghai. Secondly, China's crude oil consumption is increasing greatly with the rapid growth of the ownership of internal combustion engine vehicles. China surpassed the United States for the first time to become the world's largest importer of crude oil in 2017. China's crude oil imports reached 8.43 million barrels a day in 2017, up 10% from 2016, compared with the US's 7.91 million barrels a day, leading to accelerating eastward movement of global oil trade.

These challenges require the development of new energy vehicles. The new energy vehicles change the propulsion system from engine to motor and thus essentially change energy sources from fossil fuels to electrochemical energy storage systems, where the stored energy can be derived from renewable energy sources such as wind or solar energy. Consequently, new energy vehicles can reduce urban air pollution and diversify energy sources. Furthermore, mass penetration of new energy vehicles can also lead to integrated sustainable transportation and power grids. Among all the new energy vehicles, electric vehicles such as pure electric vehicles and plug‐in electric vehicles are becoming very attractive for road transportation. By the end of 2015, China had become the world's largest electric vehicle market, and the development of electric vehicles has been determined to be a national strategy for China.

Electric vehicles are partially or wholly driven by a battery system which consists of a combination of series and parallel connections of many battery cells. Lithium‐ion battery cells are currently the most promising for the construction of battery systems due to their favorable performances in energy density, power density, energy efficiency, and life time. The battery system in electric vehicles experiences dynamic and complex operation conditions. Its performances vary strongly with many factors including battery temperature, charge and discharge rate, aging effect, depth of discharge and cell inconsistency in the battery pack for electric vehicles. Therefore, it is indispensable to develop advanced battery management technologies to monitor and control the battery system, thereby assuring its safe and reliable operation.

This book by Associate Professors Rui Xiong and Weixiang Shen presents their research results and contributions in advanced battery management technologies made over more than ten years. The book starts with the fundamental knowledge of battery electrochemistry and electric vehicle dynamics, driving cycles and requirements of battery management systems. It continues with the detailed provision of battery modeling techniques focusing on equivalent circuit models, model‐based estimation methods for state of charge, state of energy, state of health and state of power, and battery charging and balancing techniques. These techniques are all critical in making a safer and more reliable battery system. Finally, the book ends with the integration of all these techniques into battery management systems for electric vehicles. Thus, this book covers the necessary background and techniques for the development of advanced battery management systems for electric vehicles.

A scientific national strategy for 2016–2020 is expected to play a critical role in making China the global leader in the electric vehicle industry. This book is published at a particularly timely moment when the electric vehicle industry in China is in the process of transforming from one that is investment driven to one that is innovation driven. This transformation requires new knowledge and innovative techniques in one of the key technologies for electric vehicles: battery management technologies.

I recommend this book not only because of its solid technical content but also because of the important and unique role Associate Professor Xiong plays in the systematic and original research work for the development of advanced battery management systems. I believe this book can benefit senior undergraduate and postgraduate students who are going to enter the electric vehicle industry. Chemical, mechanical and electrical engineers who are already in the electric vehicle industry can also benefit by systematically learning advanced battery management technologies from this book. Researchers who are working in academia can use this book as an in‐depth source and comprehensive reference to develop new battery management technologies for electric vehicles.

Batteries have been used in vehicles for well over a century, and with the advent and rise of electric vehicle, the battery is arguably the single most important element of the electric vehicle. As newer generations of electric vehicles including hybrid, plug‐in, and extended range vehicles become available and more popular, the impact of fully exploiting the battery during its entire lifecycle is growing in significance. Squeezing the best performance out of a battery and maximizing its useful life are not only important to electric vehicle OEMs and consumers, but they are key to ensuring that future electric vehicle fleets are highly sustainable.

The Automotive Series publishes practical and topical books for researchers and practitioners in industry, and postgraduate/advanced undergraduates in automotive engineering. The series covers a wide range of topics, including design, manufacture and operation, and the intention is to provide a source of relevant information that will be of interest and benefit to people working in the field of automotive engineering. Advanced Battery Management Technologies for Electric Vehicles is an excellent addition to the series focusing on optimizing the performance and extending the life of one of the most critical elements of any electric vehicle, the battery. While a significant amount of literature available to the modern automotive engineer focuses on concepts such as battery design and specifications, there is a lack of information regarding the management of the battery including the battery's health, charging cycles, and performance. It is the only text currently available that discusses practical implementation of use strategies for batteries that are important to the battery's, and thus the vehicle's, performance. It also presents key concepts that are related to the overall life cycle of the battery. This wealth of information is not only critical to the performance of the electric vehicle, but it is also paramount to the value proposition of the vehicle. For example, choosing the correct charging and discharging cycles for the battery will have a direct effect on the life span and performance of the battery, directly affecting the marketability and sustainability of the vehicle.

As is mentioned in the beginning of this preface, Advanced Battery Management Technologies for Electric Vehicles is part of the Automotive Series; however, batteries are found on a wide variety of other systems outside of the automotive sector. Thus, the concepts presented in this text are applicable across a wide variety of fields. In particular, most of our next generation renewable energy sources require the ability to store energy for use at a later time. For example, solar plants generate significant power during the day, but not at night. Energy storage units employing large battery banks are one means by which solar energy may be tapped when the sun goes down. Issues related to battery management technologies such as charging, balancing, charge and state estimation will be valuable in any technology sector that employs rechargeable batteries for high power applications. This makes the content of the text applicable across a wide variety of technology fields, and of significant use beyond the automotive sector.

Advanced Battery Management Technologies for Electric Vehicles provides a set of well‐focused and integrated topics that are critical to battery systems management. It presents these topics with a special focus on the automobile. The text employs a set of well thought out case studies, clearly demonstrating the utility and application of the fundamental concepts that are developed by the authors. It is state‐of‐the‐art text, written by recognized experts in the field and is a valuable resource for practitioners in the field. It is an excellent addition to the Automotive Series.