888 research outputs found
Multi-Level Data-Driven Battery Management: From Internal Sensing to Big Data Utilization
Battery management system (BMS) is essential for the safety and longevity of lithium-ion battery (LIB) utilization. With the rapid development of new sensing techniques, artificial intelligence and the availability of huge amounts of battery operational data, data-driven battery management has attracted ever-widening attention as a promising solution. This review article overviews the recent progress and future trend of data-driven battery management from a multi-level perspective. The widely-explored data-driven methods relying on routine measurements of current, voltage, and surface temperature are reviewed first. Within a deeper understanding and at the microscopic level, emerging management strategies with multi-dimensional battery data assisted by new sensing techniques have been reviewed. Enabled by the fast growth of big data technologies and platforms, the efficient use of battery big data for enhanced battery management is further overviewed. This belongs to the upper and the macroscopic level of the data-driven BMS framework. With this endeavor, we aim to motivate new insights into the future development of next-generation data-driven battery management
Improved thermal performance of a large laminated lithium-ion power battery by reciprocating air flow
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Thermal safety issues are increasingly critical for large-size laminated Lithium-Ion Batteries (LIBs). Despite a number of investigations conducted on the Battery Thermal Management System (BTMS) with reciprocating air-flow cooling, large laminated power LIBs are still not sufficiently investigated, particularly in the view of battery thermal characteristics. The present study investigates the thermal behaviors of an air-cooled NCM-type LIB (LiNi1−x−yCoxMnyO2 as cathode) from an experimental and systematic approach. The temperature distribution was acquired from different Depth of Discharge (DOD) by the infrared imaging (IR) technology. A reciprocating air-flow cooling method was proposed to restrict the temperature fluctuation and homogenize temperature distribution. Results showed that there was a remarkable temperature distribution phenomenon during the discharge process, the temperature distribution was affected by direction of air-flow. Forward air-flow (from current collector side to lower part of battery) was always recommended at the beginning of the discharge due to the thermal characteristics of the battery. After comprehensive consideration on battery temperature limit and cooling effect, the desired initial reversing timing was about 50% DOD at 3 C discharge rate. Different reversing strategies were investigated including isochronous cycles and aperiodic cycles. It was found that the temperature non-uniformity caused by heat accumulation and concentration was mitigated by reciprocating air-flow with optimized reversing strategy
Battery Pack Cells Mon itoring for Intelligent Charging
This dissertation intends to create a system capable of cell charging, cell balancing or both at
the same time for batteries with multiple cells connected in series. It also tries to understand
why there is only few literature connected with cell balancing and cell charging at the same
time. For that purpose, this dissertation presents a review on the state of the art of many
concepts related both to balancing and charging in order to pick the right methods and
equipment to achieve the objectives of this work. This dissertation includes literature review
on batteries, cell balancing methods and topologies, cell charging methods and a small review
on state of charge estimation methods. Later on, this document studies and explains
hardware and software requirements and choices in order to understand the final developed
circuit. Lastly, development difficulties, results and conclusions are presented.Esta dissertação pretende criar um sistema capaz de carregar, balancear ou ambos em
simultâneo num pack com diversas células ligadas em série. Tenta ainda perceber a razão de
haver tão pouca bibliografia que junte em simultâneo carregamento e balanceamento de
baterias.
Para alcançar estes objetivos, esta dissertação conta com uma revisão do estado da arte de
vários temas relacionados tanto com balanceamento como com carregamento de forma a
perceber os métodos e equipamentos mais adequados para implementar. A dissertação inclui
revisão bibliográfica em baterias, métodos de balanceamento e suas topologias, métodos de
carregamento de baterias e ainda alguma revisão sobre métodos de estimação de estado de
carga.
Posteriormente, este documento estuda e explica os requisitos de software e hardware e as
escolhas feitas para o desenvolvimento do circuito. Finalmente apresentam-se as dificuldades
de desenvolvimento encontradas, os resultados e ainda algumas conclusões
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