Download or read book Modeling and Verification of a Lithium Iron Phosphate Battery Pack System for Automotive Applications written by Lin Guo and published by . This book was released on 2015 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, Lithium chemistry based batteries have gained popularity with all automotive manufacturers. Thousands of battery cells are put into a battery pack to satisfy the need of power consumption of vehicles using electric traction. Managing the battery pack for hybrid and electric vehicles is a challenging problem. Despite the advantage of power density and charge retaining capabilities, Lithium ion batteries do not handle over-charge and over-discharge very well compared to other battery chemistries. Therefore, creating an accurate model to predict the battery pack behavior is essential in research and development for battery management systems. This work presents a general technique to extend accepted modeling methodologies for single cells to models for large packs. The theoretical framework is accompanied by parameter identification process based on the circuit model, and experimental verification procedures supporting the validity of this approach.

Download or read book Modeling and State Estimation of Automotive Lithium Ion Batteries written by Shunli Wang and published by CRC Press. This book was released on 2024-07-16 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to evaluate and improve the state of charge (SOC) and state of health (SOH) of automotive lithium-ion batteries. The authors first introduce the basic working principle and dynamic test characteristics of lithium-ion batteries. They present the dynamic transfer model, compare it with the traditional second-order reserve capacity (RC) model, and demonstrate the advantages of the proposed new model. In addition, they propose the chaotic firefly optimization algorithm and demonstrate its effectiveness in improving the accuracy of SOC and SOH estimation through theoretical and experimental analysis. The book will benefit researchers and engineers in the new energy industry and provide students of science and engineering with some innovative aspects of battery modeling.

Download or read book Design and Analysis of Large Lithium Ion Battery Systems written by Shriram Santhanagopalan and published by Artech House. This book was released on 2014-12-01 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new resource provides you with an introduction to battery design and test considerations for large-scale automotive, aerospace, and grid applications. It details the logistics of designing a professional, large, Lithium-ion battery pack, primarily for the automotive industry, but also for non-automotive applications. Topics such as thermal management for such high-energy and high-power units are covered extensively, including detailed design examples. Every aspect of battery design and analysis is presented from a hands-on perspective. The authors work extensively with engineers in the field and this book is a direct response to frequently-received queries. With the authors’ unique expertise in areas such as battery thermal evaluation and design, physics-based modeling, and life and reliability assessment and prediction, this book is sure to provide you with essential, practical information on understanding, designing, and building large format Lithium-ion battery management systems.

Download or read book Fundamentals and Applications of Lithium ion Batteries in Electric Drive Vehicles written by Jiuchun Jiang and published by John Wiley & Sons. This book was released on 2015-02-25 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: A theoretical and technical guide to the electric vehicle lithium-ion battery management system Covers the timely topic of battery management systems for lithium batteries. After introducing the problem and basic background theory, it discusses battery modeling and state estimation. In addition to theoretical modeling it also contains practical information on charging and discharging control technology, cell equalisation and application to electric vehicles, and a discussion of the key technologies and research methods of the lithium-ion power battery management system. The author systematically expounds the theory knowledge included in the lithium-ion battery management systems and its practical application in electric vehicles, describing the theoretical connotation and practical application of the battery management systems. Selected graphics in the book are directly derived from the real vehicle tests. Through comparative analysis of the different system structures and different graphic symbols, related concepts are clear and the understanding of the battery management systems is enhanced. Contents include: key technologies and the difficulty point of vehicle power battery management system; lithium-ion battery performance modeling and simulation; the estimation theory and methods of the lithium-ion battery state of charge, state of energy, state of health and peak power; lithium-ion battery charge and discharge control technology; consistent evaluation and equalization techniques of the battery pack; battery management system design and application in electric vehicles. A theoretical and technical guide to the electric vehicle lithium-ion battery management system Using simulation technology, schematic diagrams and case studies, the basic concepts are described clearly and offer detailed analysis of battery charge and discharge control principles Equips the reader with the understanding and concept of the power battery, providing a clear cognition of the application and management of lithium ion batteries in electric vehicles Arms audiences with lots of case studies Essential reading for Researchers and professionals working in energy technologies, utility planners and system engineers.

Download or read book Modeling and Control of Lithium ion Dynamic Battery Systems for Automotive Applications written by Manish Ramaswamy and published by . This book was released on 2013 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most attractive technologies for improving fuel economy in a vehicle is the use of hybrid powertrain technology. Central to the hybrid vehicle implementation is the performance of the energy storage device that feeds the electric traction motor. The automotive industry is fast evolving to Li-ion chemistries, which have more favorable power, energy density, and eefficiency. To meet the demands of greater electric ranges, parallel strings of batteries are required to increase the overall system capacity. Differences in chemical characteristics, internal resistance, and operating conditions can cause variations in remaining cell capacity, decreasing the total battery storage capacity over time, shortening the battery lifetime and eventually damaging the cells. Cell equalization tries to restore all the cells in the pack to an equal state of charge in order to prolong the battery lifetime and to ensure safe battery operations. This work presents an active charge equalization scheme with a switched Capacity to shuttle charge between the unbalanced cells in a parallel battery pack. The theoretical framework is accompanied by MATLAB simulations on a twelve cell pack in series/parallel configuration supporting the validity of the chosen approach.

Download or read book State Estimation Strategies in Lithium ion Battery Management Systems written by Shunli Wang and published by Elsevier. This book was released on 2023-07-14 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, R&D professionals, and other industry personnel. Introduces lithium-ion batteries, characteristics and core state parameters Examines battery equivalent modeling and provides advanced methods for battery state estimation Analyzes current technology and future opportunities

Download or read book Lithium Iron Phosphate Battery written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2022-10-15 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Lithium Iron Phosphate Battery The lithium iron phosphate battery, often known as an LFP battery, is a form of lithium-ion battery that uses lithium iron phosphate as the cathode material. The anode of this battery is made up of a graphitic carbon electrode that has a metallic backing. The energy density of an LFP battery is lower than that of other common lithium ion battery types such as Nickel Manganese Cobalt (NMC) and Nickel Cobalt Aluminum (NCA), and it also has a lower operating voltage; CATL's LFP batteries are currently at 125 watt hours (Wh) per kg, up to possibly 160 Wh/kg with improved packing technology, while BYD's LFP batteries are at 150 Wh/kg, which is compared to over 300 Notably, the energy density of the Panasonic "2170" batteries that will be utilized in the Tesla Model 3 in the year 2020 is around 260 Wh/kg, which is approximately 70 percent of the value of its "pure chemicals." How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Lithium iron phosphate battery Chapter 2: Lithium-ion battery Chapter 3: Rechargeable battery Chapter 4: Lithium polymer battery Chapter 5: John B. Goodenough Chapter 6: Lithium iron phosphate Chapter 7: Electric vehicle battery Chapter 8: Lithium-titanate battery Chapter 9: Solid-state battery Chapter 10: Lithium-air battery Chapter 11: Sodium-ion battery Chapter 12: Aluminium-ion battery Chapter 13: Comparison of commercial battery types Chapter 14: Research in lithium-ion batteries Chapter 15: Lithium hybrid organic battery Chapter 16: Magnesium battery Chapter 17: Glass battery Chapter 18: Lithium nickel cobalt aluminium oxides Chapter 19: Lithium nickel manganese cobalt oxides Chapter 20: Arumugam Manthiram Chapter 21: History of the lithium-ion battery (II) Answering the public top questions about lithium iron phosphate battery. (III) Real world examples for the usage of lithium iron phosphate battery in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of lithium iron phosphate battery' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of lithium iron phosphate battery.

Download or read book Modeling and Simulation of Lithium ion Power Battery Thermal Management written by Junqiu Li and published by Springer Nature. This book was released on 2022-05-09 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the thermal management technology of lithium-ion batteries for vehicles. It introduces the charging and discharging temperature characteristics of lithium-ion batteries for vehicles, the method for modeling heat generation of lithium-ion batteries, experimental research and simulation on air-cooled and liquid-cooled heat dissipation of lithium-ion batteries, lithium-ion battery heating method based on PTC and wide-line metal film, self-heating using sinusoidal alternating current. This book is mainly for practitioners in the new energy vehicle industry, and it is suitable for reading and reference by researchers and engineering technicians in related fields such as new energy vehicles, thermal management and batteries. It can also be used as a reference book for undergraduates and graduate students in energy and power, electric vehicles, batteries and other related majors.

Download or read book Improved Equivalent circuit Models of Lithium Ion Iron Phosphate Cells written by Claudia Werckle and published by . This book was released on 2019 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract Lithium-ion batteries allow energy storage with high power and energy density and are widely used for many energy-storage applications. Electric vehicles are one of the most common uses of lithium-ion battery packs and require hundreds or thousands of individual battery cells in a battery pack to power a full-size car. The battery pack requires monitoring by a battery management system (BMS) to guarantee operational safety and optimal usage so the batteries remain healthy as long as possible and must address concerns such as safety and high power demands. To achieve these goals, it is critical to incorporate accurate battery models into BMSs. The goal of this thesis is to show improvements to open-circuit voltage (OCV) estimation and hysteresis modeling for lithium iron phosphate (LFP) battery cells. LFP cells are cheaper and the chemistry make-up is less toxic than many other cell chemistries, but are a challenge to model accurately. This thesis presents a new method to estimate the OCV curve of an LFP battery cell accurately by using rate-of-change for discharge and charge curves from laboratory test data. The method is compared to a resistance-based estimation method and a least-squares optimization method. This thesis also presents two new methods of estimating hysteresis using newly developed Preisach-based models, which are compared to other Preisach-based models. The new OCV method is integrated into an equivalent-circuit model, validated using dynamic lab test data and was found to predict measured cell data better than previous models. The new hysteresis models are simulated and validated with hysteresis lab test data and were found to predict measured cell data better than previous models. One new hysteresis model is integrated into an equivalent-circuit model and simulated to test feasibility of implementation.

Download or read book Automation 2019 written by Roman Szewczyk and published by Springer. This book was released on 2019-02-15 with total page 727 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of papers presented at AUTOMATION2019, an international conference held in Warsaw from March 27 to 29, 2019. It discusses the radical technological changes occurring due to the INDUSTRY 4.0. To follow these changes, both scientists and engineers have to face the challenge of interdisciplinary approach directed at the development of cyber-physical systems. This approach encompasses interdisciplinary theoretical knowledge, numerical modelling and simulation as well as application of artificial intelligence techniques. Both software and physical devices are composed into systems that will increase production efficiency and resource savings. The theoretical results, practical solutions and guidelines presented are valuable for both researchers working in the area of engineering sciences and practitioners looking for solutions to industrial problems.

Download or read book Application of Intelligent Systems in Multi modal Information Analytics written by Vijayan Sugumaran and published by Springer Nature. This book was released on 2021-04-16 with total page 970 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 2021 International Conference on Multi-modal Information Analytics, held in Huhehaote, China, on April 23–24, 2021.

Download or read book Modeling and Control of State of Charge of Modular and Second Life Battery Systems written by Yunfeng Jiang and published by . This book was released on 2019 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to meet the increasing requirements for better utilization of renewable energy technologies, lithium-ion battery energy storage system have currently been developed to power an ever-increasing electrical applications in renewable energy industry and automotive industry. Energy storage capabilities are determined by the battery size, typically expressed in the units from watt hour to megawatt hour. Battery capacity is often fixed and amount of charge is specified in state of charge. If battery is used to plan for long term energy provision, battery size has to be chosen large, making battery energy storage system cost prohibitive. It is necessary to design battery smaller and in modular, but allow them to be exchanged and make sure different modular keep same for state of charge via balancing. In this dissertation, some state-of-the-art modeling and control approaches for battery energy storage system are thoroughly proposed and validated in detail. Firstly, a fractional differential model method is presented for modeling the dynamics of a lithium-ion battery system over a large operating range, which is combination of conventional equivalent circuit model and electrochemical impedance spectroscopy experimental data. The proposed model includes a constant phase element term to approximate the non-linear dynamical behavior of the lithium-ion battery through broad operating range. The continuous-time system identification methods are introduced to estimate model parameters of the proposed fractional differential model. Validated on experimental data obtained from a lithium-ion battery, the estimated model provides better model accuracy and model performance than traditional integer equivalent circuit model methods. Secondly, to better utilize a battery energy storage system, a fractional differential battery modeling approach is proposed to characterize power delivery dynamics, given charge and discharge demand as an input, not only in normal operating range, but also in extreme cases, such as battery over-charging and over-discharging. In particular, the proposed model is combined by individual voltage and current models to predict the dynamics of the energy storage and delivery of a lithium-ion battery system. The continuous-time parameterization and estimation methods are fully described and validated on the experimental data from a lithium iron phosphate battery. Finally, some current scheduling strategies are proposed to solve battery heterogeneity and further improve the performance, lifespan and safety of a battery energy storage system with parallel connected battery modules. The scheduling algorithms are formulated in both open-loop and closed-loop implementation. The open-loop algorithm is formulated by solving a typical linear programming problem with detailed knowledge of the battery system. The closed-loop method is computed autonomously by recursive control algorithm without detailed battery knowledge, even when the characteristic parameters change as the battery pack ages. The experimental results indicate the feasibility and flexibility of the proposed current scheduling method in a battery pack system with parallel placed buck regulated battery modules.

Download or read book Battery Management Algorithm for Electric Vehicles written by Rui Xiong and published by Springer Nature. This book was released on 2019-09-23 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically introduces readers to the core algorithms of battery management system (BMS) for electric vehicles. These algorithms cover most of the technical bottlenecks encountered in BMS applications, including battery system modeling, state of charge (SOC) and state of health (SOH) estimation, state of power (SOP) estimation, remaining useful life (RUL) prediction, heating at low temperature, and optimization of charging. The book not only presents these algorithms, but also discusses their background, as well as related experimental and hardware developments. The concise figures and program codes provided make the calculation process easy to follow and apply, while the results obtained are presented in a comparative way, allowing readers to intuitively grasp the characteristics of different algorithms. Given its scope, the book is intended for researchers, senior undergraduate and graduate students, as well as engineers in the fields of electric vehicles and energy storage.

Download or read book Mathematical Modeling of Lithium Batteries written by Krishnan S. Hariharan and published by Springer. This book was released on 2019-06-06 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is unique to be the only one completely dedicated for battery modeling for all components of battery management system (BMS) applications. The contents of this book compliment the multitude of research publications in this domain by providing coherent fundamentals. An explosive market of Li ion batteries has led to aggressive demand for mathematical models for battery management systems (BMS). Researchers from multi-various backgrounds contribute from their respective background, leading to a lateral growth. Risk of this runaway situation is that researchers tend to use an existing method or algorithm without in depth knowledge of the cohesive fundamentals—often misinterpreting the outcome. It is worthy to note that the guiding principles are similar and the lack of clarity impedes a significant advancement. A repeat or even a synopsis of all the applications of battery modeling albeit redundant, would hence be a mammoth task, and cannot be done in a single offering. The authors believe that a pivotal contribution can be made by explaining the fundamentals in a coherent manner. Such an offering would enable researchers from multiple domains appreciate the bedrock principles and forward the frontier. Battery is an electrochemical system, and any level of understanding cannot ellipse this premise. The common thread that needs to run across—from detailed electrochemical models to algorithms used for real time estimation on a microchip—is that it be physics based. Build on this theme, this book has three parts. Each part starts with developing a framework—often invoking basic principles of thermodynamics or transport phenomena—and ends with certain verified real time applications. The first part deals with electrochemical modeling and the second with model order reduction. Objective of a BMS is estimation of state and health, and the third part is dedicated for that. Rules for state observers are derived from a generic Bayesian framework, and health estimation is pursued using machine learning (ML) tools. A distinct component of this book is thorough derivations of the learning rules for the novel ML algorithms. Given the large-scale application of ML in various domains, this segment can be relevant to researchers outside BMS domain as well. The authors hope this offering would satisfy a practicing engineer with a basic perspective, and a budding researcher with essential tools on a comprehensive understanding of BMS models.

Download or read book Modeling Simulation and Analysis of Lithium ion Batteries for Grid scale Applications written by Matthew T. Lawder and published by . This book was released on 2016 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lithium-ion batteries have become universally present in daily life, being used across a wide range of portable consumer electronics. These batteries are advantageous compared to other forms of energy storage due to their high energy density and long cycle life. These characteristics make lithium-ion batteries advantageous for many new and developing applications that require large scale energy storage such as electric vehicles and the utility grid. Typical uses for lithium-ion batteries require consistent cycling patterns that are predictable and easy to approximate across all uses, but new large scale applications will have much more dynamic demands. The cycling patterns for electric vehicles will vary based on each individuals driving patterns and batteries used for energy storage in the grid must be flexible enough to account for continuous fluctuations in demand and generation with little advanced notice. Along with these requirements, large scale applications do not want to sacrifice on cycle life and need to know that adding batteries will make operational and economic sense in specific cases. It is not possible to experimentally validate every possible driving pattern or grid storage need because of the great expense of these large systems and the long timescale required for testing. Therefore modeling of these systems is advantageous to help study specific application constraints and understand how lithium-ion batteries operate under those constraints. A systems level model is developed to study lithium-ion battery systems for use with solar energy (in a solar-battery hybrid system) and electric vehicles. Electrochemical based battery models are used as a component within larger systems. To facilitate fast simulation a single step perturbation and switch method is outlined for increasing the speed and robustness of solving the systems of DAEs that result from the systems level model. Operational characteristics are studied for lithium-ion batteries used to store solar energy within the electric grid. Different grid demands are tested against the system model to better understand the best uses for the solar-battery hybrid system. Both generic site studies and site specific studies were conducted. Solar irradiance data from 2010-2014 was obtained from 10 US based sites and used as an input to the system model to understand how the same system will operate differently at various locations. Technological benefits such as system autonomy were simulated for each site as well as economic benefits based on a time-of-use pricing scenario. These models included the growth of the solid-electrolyte interface layer on the battery electrodes to measure capacity fade during operation. This capacity fade mechanism allowed tracking of the site specific effects on battery life. A systems level model for an electric vehicle was also developed to simulate the growth of the SEI layer caused from different types of driving cycles and charging patterns. Results from both system models are presented along with an optimization method for the solar-battery hybrid model. In addition to modeling, experimental tests of LiFePO4 lithium-ion battery cells were conducted to measure capacity fade associated with different types of cycling throughout a batterys life. Cycling protocols were tested to study traditional capacity fade and also to focus on increasing a cells lifetime benefit through application switching.

Download or read book Lithium Ion Battery Modeling Estimation and Aging for Hybrid Electric Vehicle Applications written by Tanvir Tanim and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Reducing greenhouse gas emissions and improving the fuel efficiency of automobiles, trucks, and buses can be achieved by partial and full electrification of the vehicle sector. Lithium ion battery technology is the leading candidate for vehicle electrification. Despite many advantages of lithium ion battery technology, over-conservative pack design due to a lack of advanced battery management hinders its widespread deployment in the transportation sector. This dissertation introduces a model-based approach for safe and efficient advanced lithium ion battery management.Low order, explicit models of lithium ion cells are critical for real-time battery management system (BMS) applications. Li-ion cell response varies significantly with temperature and cell temperature measurements are often available. This study presents a 7th order, single particle model with electrolyte diffusion and temperature dependent parameters (ESPM-T model). The impedance transfer function coefficients are explicit in terms of the model parameters, simplifying the implementation of temperature dependence yet providing an accurate model. The 7th order, linear, electrolyte enhanced, single particle model (ESPM) is used as the basis for a Luenberger SOC observer for a lithium ion cell. Isothermal and non-isothermal observer performances are compared with a commercially-available finite volume code and the benefits of temperature measurement are shown for a wide range of temperature and pulse C-rates.The ESPM is then extended to a nonlinear, electrolyte-enhanced, single particle model (NESPM), which includes nonlinearities associated with open circuit voltage and Butler-Volmer (B-V) kinetics. The model is validated with experimental full charge, discharge, and HEV cycles from 4.5 Ah high power and 20 Ah high energy graphite (gr)/LiFePO4 (LFP) cells. The NESPM is capable of operating up to 3C constant charge-discharge cycles and up to 25C and 10 sec charge-discharge pulses within 35-65% state of charge (SOC) with less than 2% error for the 4.5 Ah high power cell. For the 20 Ah high energy cell, the NESPM model is capable of operating up to 2C constant charge-discharge cycles and up to 10C and 10 sec charge-discharge pulses within 30-90% SOC window with 3.7% maximum error. An aging model due to solid electrolyte interphase layer growth is added to the NESPM model. The NESPM aging model is then simplified to obtain explicit formulas for capacity fade and impedance rise that depend on the battery parameters and current input history. These simple aging models can be implemented in online model based battery SOH estimation. The formulas show that aging increases with SOC, operating temperature, time, and root mean square (RMS) current. The formula predicts that HEV current profiles with the (i) same average SOC, (ii) small SOC swing, (iii) same operating temperature, (iv) same cycle length, and (v) same RMS current, will have the same cell capacity fade. The single cell ESPM-T model is extended to a pack model with three cells in parallel to develop thermal management strategies to extend battery life within a desired performance window. Instead of defining battery End of Life (EOL) as an arbitrary percent of capacity loss, it is defined as the cycle number when the battery voltage first hits the maximum or minimum voltage limits for a given drive cycle. In practice, this is when the battery management system must reduce the input current, and the desired performance can no longer be achieved. Three thermal management strategies are simulated to show that elevated temperature operation can significantly extend battery life/reduce battery size while maintaining the desired performance. The effect of cell mismatch in pack performance and life is also analyzed and thermal management strategies to mitigate the mismatch effect are proposed.

Download or read book Control Oriented Electrochemical Modeling of Lithium ion Battery Cells for Applications in EVs HEVs and PHEVs written by Sandeep Yayathi and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Lithium-ion batteries provide a high energy density and a high power density source for use in many current PHEV and HEV designs. Vehicle energy control strategies are highly dependent on battery performance during various low and high rate operational modes. In this thesis an electrochemical model of a lithium ion cell is developed from the literature. This model will be used in future development of a larger multi-cell battery pack model for use in electric vehicle design and control. This model captures the electrochemical reaction as well as heat and mass transfer within the cell. A physics-based modeling approach is undertaken in this research instead of a parametric modeling technique. This approach will make the effect of battery parameters visible in both the model structure and corresponding system response. It will make the design of control algorithms more robust to system variation. The dynamic effects of the electrochemical reaction and heat and mass transfer within the cell captured by this model are a coupled phenomena, which determine lithium-ion battery performance and life. The cell model is developed using SIMULINK® software from The Mathworks. In addition to development of the cell level model, this thesis will outline the development of an experimental test setup. In order to validate the model, it is necessary to collect data from actual lithium ion cells under various charge and discharge profiles. The experimental logistical and budgetary considerations are also taken into account. The final configuration of the lab equipment is robust enough to handle testing of single lithium-ion cells from low capacity to high capacity as well as entire battery pack modules for the development of vehicle level power management. The automation and data collection for this test setup is accomplished with LabVIEW® from National Instruments.