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We are witnessing a fast-growing demand in vehicle electrification nowadays due to the widespread environmental consciousness, stringent emission regulations, and carbon neutrality implementation. As one of the most promising energy storage and electrification solutions, lithium-ion battery has been widely employed for electric vehicles (EVs) due to its excellent properties like high energy density, low maintenance, and long cycle life. However, there still exist multiple critical challenges in using lithium-ion battery at large scale as the major power source, such as reliability issues, safety concerns, and especially the range anxiety. Several promising solutions have been explored in the EV industry to mitigate the drawback of range anxiety, such as larger capacity with high energy density and ultra-fast charging. All these approaches challenge the temperature sensitive battery system as a side effect by bringing in extra overburdened waste heat. Given these concerns, battery thermal management system (BTMS) plays an indispensable role in maintaining the maximum temperature and temperature uniformity for EVs. This dissertation proposes a novel J-type air-based cooling structure via re-designing conventional U- and Z- type structures. Aiming to further improve the thermal performance, a surrogate-based optimization framework with two-stage cluster-based resampling is developed for BTMS structural optimization. Compared with the U- and Z- type, the novel J-type structure is proved with significant advancements. Based on the optimized J-type configuration, an operation mode switching module is designed to mitigate the temperature unbalance by controlling the opening degree of two outlet valves. Tested by an integrated driving cycle, results reveal that the J-type structure with its appropriate control strategy is a promising solution for light-duty EVs using an air cooling technology. Improving the energy efficiency is another potential approach to mitigate range anxiety. In this dissertation, a model predictive control (MPC)-based energy management strategy is developed to simultaneously control the BTMS, the air conditioning system, and the regenerative power. A vehicle velocity forecasting framework is integrated with the MPC-based energy management to further improve the energy efficiency. Deep learning and image-based traffic light detection techniques have been leveraged for velocity forecasting. Results show that the proposed energy management method has significantly improved the overall EV energy efficiency.
In the last decade, medium duty electric vehicles (MDEV) have been detected as a way to decrease greenhouse gases emission related to road transportation. The operation of the vehicle thermal management system (VMTS) is fundamental to ensure that electric vehicles components operate in their optimal temperature range to achieve high performances while preserving their lifetime. However, VTMS power consumption (pump, fan, electric heaters, HVAC) affects negatively vehicle autonomy. Hence, an optimal trade off must be found. Moreover, automotive state of the art tends to oversize VTMS in order to cover extreme use cases, leading to increased investment costs, whilst affecting negatively the vehicle payload. This thesis work has the objective to develop a methodology of optimization to size the thermal management system by using a typical operative mission realized by the electric truck throughout the year and by taking into account the characteristics of each component and their interactions through a dedicated model. The model has been validated through experimental data whilst the mission operated by the electric truck has been recreated by using time series clusterization over existent data. These allowed to recreate a year of driving by using few representative days and thus significantly reduce the computational resources. The problem of size optimization has been firstly written by using a MILP approach in order to have a first glance over critical variables. Next, new design variables (i.e., the degradation of the battery due to temperature ranges) are then integrated to have a better understanding of how each component can affect the size of the system and two different solutions for the size optimization problem are proposed and compared to the current reference case of the electric vehicle deployed in Europe by Volvo group. Results shows an improvement of the system sized of 2.3 % for the degradation of the battery compared to the reference case.
The book discusses the emerging topic of comprehensive energy management in electric vehicles from the viewpoint of academia and from the industrial perspective. It provides a seamless coverage of all relevant systems and control algorithms for comprehensive energy management, their integration on a multi-core system and their reliability assurance (validation and test). Relevant European projects contributing to the evolvement of comprehensive energy management in fully electric vehicles are also included. This volume includes contributions on model based functional safety and fault-tolerant E/E architectures, advanced control making use of external information (from a cloud) as well and thermal management as a central part for energy optimization and finally some aspects on fuel cells. The second volume (ISBN .....) includes chapters on ECO driving and ECO routing covering different approaches for optimal speed profiles for a given route (mostly interconnecting with cloud data).
The current stimuli of climate change and rising oil prices have spurred the development of hybrid electric (HEV), and battery electric vehicles (BEV): collectively termed EVs. However, the battery technology needs much development: at the time of writing, the range of a BEV is too low to be practical in many situations. A critical limitation is the sensitivity of batteries to temperature: the heat generated during operation affects their performance and reduces the lifetime. This study investigates battery cooling using cooling plates: thin rectangular fabrications inserted between battery cells. A coolant pumped through internal channels absorbs heat and transports it away from the battery. Previous studies of liquid heat exchangers have indicated that the geometry of the channels plays a significant role in the performance; however, there is a lack of rigorous numerical optimization applied to EV cooling plates. By developing a numerical optimization framework utilizing parametric geometry generation and computational fluid dynamics, this research has investigated the characteristics of optimum cooling plate geometry with respect to three objectives: average temperature, temperature uniformity, and coolant pressure drop. By applying each objective separately, improvements of up to 70% have been made compared to a reference design. The influence of boundary conditions on performance and optimum design has been assessed, and multi-objective optimization has investigated the trade-off between competing objective functions. Although care should be taken when extrapolating the results beyond the geometry and conditions in the study, some general design principles can be proposed. Objectives of average temperature and pressure drop can both be satisfied by a common design with wide cooling channels, but different characteristics are needed for temperature uniformity. Additional assessments have revealed that optimizations of temperature uniformity are especially sensitive to the boundary conditions, whereas the other objective functions are largely insensitive. The optimization process developed in this work can be applied to any potential cooling plate design and will lead to gains in the targeted performance measure. In doing so, the performance of the EV will be incrementally improved, thereby advancing the day when an EV is not only an environmental choice, but also a practical choice.
Thermal Management for Opto-electronics Packaging and Applications A systematic guide to the theory, applications, and design of thermal management for LED packaging In Thermal Management for Opto-electronics Packaging and Applications, a team of distinguished engineers and researchers deliver an authoritative discussion of the fundamental theory and practical design required for LED product development. Readers will get a solid grounding in thermal management strategies and find up-to-date coverage of heat transfer fundamentals, thermal modeling, and thermal simulation and design. The authors explain cooling technologies and testing techniques that will help the reader evaluate device performance and accelerate the design and manufacturing cycle. In this all-inclusive guide to LED package thermal management, the book provides the latest advances in thermal engineering design and opto-electronic devices and systems. The book also includes: A thorough introduction to thermal conduction and solutions, including discussions of thermal resistance and high thermal conductivity materials Comprehensive explorations of thermal radiation and solutions, including angular- and spectra-regulation radiative cooling Practical discussions of thermally enhanced thermal interfacial materials (TIMs) Complete treatments of hybrid thermal management in downhole devices Perfect for engineers, researchers, and industry professionals in the fields of LED packaging and heat transfer, Thermal Management for Opto-electronics Packaging and Applications will also benefit advanced students focusing on the design of LED product design.
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. The "hands-on" guide to thermal management! In recent years, heat-sensitive electronic systems have been miniaturized far more than their heat-producing power supplies, leading to major design and reliability challenges — and making thermal management a critical design factor. This timely handbook covers all the practical issues that any packaging engineer must consider with regard to the thermal management of printed circuit boards, hybrid circuits, and multichip modules. Readers will also benefit from the extensive data on material properties and circuit functions, thus enabling more intelligent decisions at the design stage — and preventing thermal-related problems from occurring in the first place.
This Second Edition of a classic text is fully updated and greatly expanded, with in-depth revisions that include advancements in the component technology of microelectronics. The most noticeable one is the addition of an entirely new chapter on microwave modules and the gallium arsenide (GaAs) chips, which have seldom been discussed in any of the textbooks or publications in the area of thermal management of electronic equipment. With this new chapter, the book is complete and whole in the area of thermal design of electronics systems. With an increased demand on system reliability and performance combined with the miniaturization of devices, thermal consideration has become a crucial factor in the design of electronic packaging, from chip to system levels. This book emphasizes the solving of practical design problems in a wide range of subjects related to various heat transfer technologies. While focusing on understanding the physics involved in the subject area, the authors have provided substantial practical design data and empirical correlations used in the analysis and design of equipment. The book provides the fundamentals along with a step-by-step analysis approach to engineering, making it an indispensable reference volume.