Description:
From the Back Cover
The battery management system (BMS) optimizes the efficiency of batteries under allowable conditions and prevents serious failure modes. This book focuses on critical BMS techniques, such as battery modeling; estimation methods for state of charge, state of power and state of health; battery charging strategies; active and passive balancing methods; and thermal management strategies during the entire lifecycle. It also introduces functional safety and security-related design for BMS, and discusses potential future technologies, like digital twin technology.
About the Author
Professor Yang Shichun is Dean of School of Transportation Science & Engineering at Beihang University, Leading personnel of scientific and technological innovation in the National Ten-thousand Talents Program, leading personnel among the young and middle-aged in the Ministry of Science and Technology, National outstanding scientific and technological worker. Vice Chairman of Electric Vehicle Division of National Technical Committee of Automobile Standardization (NTCAS), expert of Road Vehicle Specialized Committee of China Intelligent Transportation System Association (CTTSA), Vice Chairman of SAE Vehicle Safety and Information Security Technical Committee. His research mainly works on scientific and technological research for EV power system safety, high-efficient optimal theory and integrated control.
Dr. Xinhua Liu is an Assistant Professor of School of Transportation Science & Engineering at Beihang University, Visiting Lecture ofDyson School of Design Engineering at Imperial College London (UK). Her research interests mainly lie in the interface between electrochemical science and engineering applying a digital process, including designer energy materials for various energy storages; model-driven microstructure optimization for high performance batteries; cloud control based battery degradation mechanism, diagnose and battery management system design.
Dr. Shen Li is a Research Associate of Department of Mechanical Engineering at Imperial College London, UK, since 2018. He is also a technical consultant at Imperial Consultants Ltd, UK, since 2021. His research interests include solid mechanics including interfacial contact problem and friction, energy storage including lithium-ion battery simulation using electrochemical model and equivalent circuit model, battery thermal management, degradation, control algorithm and pack level simulation.
Dr. Cheng Zhang is an Assistant Professor of Institute for Clean Growth & Future Mobility at Coventry University, UK since 2019. His research interests mainly lie in advanced battery management algorithms, including design of experiment for battery characterization, electrical-thermal-ageing simulation of battery systems, model-based real-time parameter and state estimation, and optimal control.
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Advanced Battery Management System for Electric Vehicles (Key Technologies on New Energy Vehicles)
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Advanced Battery Management System for Electric Vehicles (Key Technologies on New Energy Vehicles)
AED77520
Quantity:
Order today to get by 7-14 business days
This item qualifies for free delivery
Imported From: United Kingdom
At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.
BOLO is not an authorized or official retailer for most brands, nor are we affiliated with manufacturers unless specifically stated on a product page. Instead, we source verified sellers, authorized distributors or directly from the manufacturer.
Each product undergoes thorough inspection and verification at our consolidation and fulfilment centers to ensure it meets our strict authenticity and quality standards before being shipped and delivered to you.
If you ever have concerns regarding the authenticity of a product purchased from us, please contact Bolo Support. We will review your inquiry promptly and, if necessary, provide documentation verifying authenticity or offer a suitable resolution.
Your trust is our top priority, and we are committed to maintaining transparency and integrity in every transaction.
All product information, images, descriptions, and reviews originate from the manufacturer or from trusted sellers overseas. BOLO is not affiliated with, endorsed by, or an authorized retailer for most brands listed on our website unless stated otherwise.
While we strive to display accurate information, variations in packaging, labeling, instructions, or formulation may occasionally occur due to regional differences or supplier updates. For detailed or manufacturer-specific information, please contact the brand directly or reach out to BOLO Support for assistance.
Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.
BOLO operates in accordance with the laws and regulations of United Arab Emirates. Any items found to be restricted or prohibited for sale within the UAE will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in United Arab Emirates are listed on our website.
All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.
All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.
Description:
From the Back Cover
The battery management system (BMS) optimizes the efficiency of batteries under allowable conditions and prevents serious failure modes. This book focuses on critical BMS techniques, such as battery modeling; estimation methods for state of charge, state of power and state of health; battery charging strategies; active and passive balancing methods; and thermal management strategies during the entire lifecycle. It also introduces functional safety and security-related design for BMS, and discusses potential future technologies, like digital twin technology.
About the Author
Professor Yang Shichun is Dean of School of Transportation Science & Engineering at Beihang University, Leading personnel of scientific and technological innovation in the National Ten-thousand Talents Program, leading personnel among the young and middle-aged in the Ministry of Science and Technology, National outstanding scientific and technological worker. Vice Chairman of Electric Vehicle Division of National Technical Committee of Automobile Standardization (NTCAS), expert of Road Vehicle Specialized Committee of China Intelligent Transportation System Association (CTTSA), Vice Chairman of SAE Vehicle Safety and Information Security Technical Committee. His research mainly works on scientific and technological research for EV power system safety, high-efficient optimal theory and integrated control.
Dr. Xinhua Liu is an Assistant Professor of School of Transportation Science & Engineering at Beihang University, Visiting Lecture ofDyson School of Design Engineering at Imperial College London (UK). Her research interests mainly lie in the interface between electrochemical science and engineering applying a digital process, including designer energy materials for various energy storages; model-driven microstructure optimization for high performance batteries; cloud control based battery degradation mechanism, diagnose and battery management system design.
Dr. Shen Li is a Research Associate of Department of Mechanical Engineering at Imperial College London, UK, since 2018. He is also a technical consultant at Imperial Consultants Ltd, UK, since 2021. His research interests include solid mechanics including interfacial contact problem and friction, energy storage including lithium-ion battery simulation using electrochemical model and equivalent circuit model, battery thermal management, degradation, control algorithm and pack level simulation.
Dr. Cheng Zhang is an Assistant Professor of Institute for Clean Growth & Future Mobility at Coventry University, UK since 2019. His research interests mainly lie in advanced battery management algorithms, including design of experiment for battery characterization, electrical-thermal-ageing simulation of battery systems, model-based real-time parameter and state estimation, and optimal control.
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