Advanced Real-Time Battery Characterization and Management: Safe, Reliable, and Optimal Operation of Battery Systems for Electric-Drive Vehicles and Grid Support

先进的实时电池表征和管理：电动汽车和电网支持的电池系统的安全、可靠和优化运行

• 批准号: 1202133
• 负责人: Caisheng Wang
• 金额: $ 42万
• 依托单位: Wayne State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-05-01 至 2017-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1202133&HistoricalAwards=false
• 关键词: Advanced; Real; Time; Battery; Characterization

Advanced Real-Time Battery Characterization and Management: Safe, Reliable, and Optimal Operation of Battery Systems for Electric-Drive Vehicles and Grid SupportAbstract The objective of this research is to develop new methods for real-time characterizing and adaptively managing battery systems to ensure their optimal and healthy operation, which is critical for accomplishing clean, efficient and sustainable energy development in transportation and power sectors. The research approach is: (1) Joint estimation of battery's State of Charge, State of Health, and model parameters; (2) adaptive battery management with optimal battery charging and cell balancing control; (3) integration and management of used electric vehicle batteries for grid energy storage via State of Charge weighted power control. Intellectual merits: (1) Fast, robust and accurate battery characterization via real-time and joint estimation for achieving adaptive and optimal battery management. (2) Facilitating the second use of retired electric vehicle batteries. (3) Versatile and transformative technologies for different types of batteries and model structures, and for new or old batteries. (4) Complementary educational tools and programs to enhance the educational effort in vehicle electrification and sustainable energy development.Broader impacts: The success of this project will help achieve cleaner and more efficient transportation, along with more reliable power grids capable of integrating higher quantities of electricity from intermittent renewable sources. All these will eventually lead to a more secure and sustainable energy development in the U.S.A. This project will have significant educational, societal, and economical impacts by advancing technology and workforce development for the industry of electric-drive vehicle, battery, renewable energy and smart grid, which are all the critical areas for the nation's security and future development.

先进的实时电池表征和管理：电动汽车电池系统的安全、可靠和优化运行以及电网支持摘要本研究的目的是开发实时表征和自适应管理电池系统的新方法，以确保其最佳和健康运行，这对于交通和电力部门实现清洁、高效和可持续的能源发展至关重要。研究方法是：（1）电池荷电状态、健康状态和模型参数的联合估计； (2) 具有最佳电池充电和电池平衡控制的自适应电池管理； (3)通过充电状态加权功率控制对废旧电动汽车电池进行整合和管理，用于电网储能。智力优点：（1）通过实时联合估计快速、稳健和准确的电池表征，以实现自适应和优化的电池管理。 （二）促进退役电动汽车电池二次利用。 （3）针对不同类型电池、模型结构、新旧电池的通用性和变革性技术。 (4) 补充教育工具和计划，以加强车辆电气化和可持续能源发展方面的教育工作。更广泛的影响：该项目的成功将有助于实现更清洁、更高效的交通，以及能够整合来自间歇性可再生能源的更多电力的更可靠的电网。所有这些最终将导致美国更加安全和可持续的能源发展。该项目将通过推进电动汽车、电池、可再生能源和智能电网行业的技术和劳动力发展，产生重大的教育、社会和经济影响，这些都是国家安全和未来发展的关键领域。