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Advanced Management System for Lithium-ion Batteries in Hybrid Inverters Optimized for Photovoltaic Systems Connected to the Grid
Technical Paper
2017-36-0047
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
One main feature of the power demand profile is it varies time to time and its price changes accordingly. During the peak the less cost-effective and flexible power supplies must complement the base-load power plants in order to supply the power demand. Conversely, during the off-peak period when less electricity is consumed, those costly power plants can be stopped. This is a scenario which Energy Storage System (ESS) and photovoltaic (PV) generation plants could add flexibility and cost reduction to the customers and utilities. These aspects are only achieved due to the ESS, which enables the optimal use of energy produced by the photovoltaic modules through load management and discharge of the battery in the most convenient times. The battery, which for performance reasons is produced of lithium-ion technology, is an essential component of reliability and availability of PV systems and it is crucial to have a tool to identify its operational parameters, for example, State-of-Health (SoH) and State of Charge (SoC) in order to detect early failures, and allows the adoption of preventive/corrective maintenance and replacement. Therefore, advanced modeling is required and these models are part of the Battery Management System (BMS). The BMS is an embedded electronic system which accurately monitor and control the main parameters of the battery. As the central part of the BMS, advanced physics-based models need be embedded to offer more robust operation of the storage system. All these features allow the system to accomplish with safety and performance necessary for the application. This paper presents the results of the development of an energy management intelligence (BMS), methods for parameters estimation based on advanced modeling of battery and packaging of high-performance lithium-ion cells that were selected from results obtained in laboratory tests. Also it will be presented topologies and configurations of hybrid inverters currently studied in the academy, showing how its features are based on the union of grid-tie inverters and UPS (Uninterruptible Power Supply). The results obtained in the laboratory show the current state of project development. The BESS proposed is useful for PV systems maximizing the usefulness of solar panels and offering a variety of backup electricity supply solutions. The use of this system can extend the battery life, helps in the prediction for exchange of batteries and increase the system reliability.
Authors
- Felipe Lima dos Reis Marques - Fundação Centro de Pesquisa e Desenvolvimento em Telecomunic
- Sender Rocha dos Santos - Fundação Centro de Pesquisa e Desenvolvimento em Telecomunic
- Mauro Fernando Basquera Junior - Fundação Centro de Pesquisa e Desenvolvimento em Telecomunic
- Thiago Chiachio do Nascimento - Fundação Centro de Pesquisa e Desenvolvimento em Telecomunic
- Raul Fernando Beck - Fundação Centro de Pesquisa e Desenvolvimento em Telecomunic
- Maria de Fátima Negreli Campos Rosolem - Fundação Centro de Pesquisa e Desenvolvimento em Telecomunic
- Ricardo Souza Figueiredo - PHB Eletrônica Ltda
- Rogério Valentim Pereira - PHB Eletrônica Ltda
Topic
Citation
Marques, F., Santos, S., Junior, M., Nascimento, T. et al., "Advanced Management System for Lithium-ion Batteries in Hybrid Inverters Optimized for Photovoltaic Systems Connected to the Grid," SAE Technical Paper 2017-36-0047, 2017, https://doi.org/10.4271/2017-36-0047.Also In
References
- Liang X. Emerging Power Quality Challenges Due to Integration of Renewable Energy Sources IEEE Transactions on Industry Applications PP 99 1 1
- Tsoutsos Theocharis , Frantzeskaki Niki , Gekas Vassilis Environmental impacts from the solar energy technologies Energy Policy 33 3 February 2005 289 296 0301-4215
- Strbac Goran Demand side management: Benefits and challenges Energy Policy 36 12 December 2008 4419 4426 0301-4215
- Divya K.C. , Østergaard Jacob Battery energy storage technology for power systems-An overview Electric Power Systems Research 79 4 April 2009 511 520 0378-7796
- Chen Haisheng , Cong Thang Ngoc , Yang Wei , Tan Chunqing , Li Yongliang , Ding Yulong Progress in electrical energy storage system: A critical review Progress in Natural Science 19 3 10 March 2009 291 312 1002-0071
- A Review of Passive and Active Battery Balancing based on MATLAB/Simulink (in press) Daowd , Mohamed Ali Abdelfattah Hamoda ; Omar , Noshin ; Van Den Bossche , Peter ; Van Mierlo , Joeri International Review of Electrical Engineering 6 7 12 2011 2974 2989
- Inversores Fotovoltaicos Híbridos com Armazenamento de Energia em Baterias - Classificação, Modos de Operação e Princípios de Funcionamento Bellinaso L. V. , Michels L. VI Congresso Brasiliero de Energia Solar - CEBENS 2016
- Jackey , R. , Saginaw , M. , Sanghvi , P. , Gazzarri , J. et al. Battery Model Parameter Estimation Using a Layered Technique: An Example Using a Lithium Iron Phosphate Cell SAE Technical Paper 2013-01-1547 2013 https://doi.org/10.4271/2013-01-1547
- Huria , T. , Ceraolo , M. , Gazzarri , J. , and Jackey , R. Simplified Extended Kalman Filter Observer for SOC Estimation of Commercial Power-Oriented LFP Lithium Battery Cells SAE Technical Paper 2013-01-1544 2013 https://doi.org/10.4271/2013-01-1544
- Yu D. X. , Gao Y. X. SOC Estimation of Lithium-Ion Battery Based on Kalman Filter Algorithm Applied Mechanics and Materials 347-350 1852 1855 2013
- Piao Changhao , Wang Zhaoguang , Cao Ju , Zhang Wei , and Lu Sheng Lithium-Ion Battery Cell-Balancing Algorithm for Battery Management System Based on Real-Time Outlier
- IEC62620: Secondary cells and batteries containing alkaline or other non-acid electrolytes - Secondary lithium cells and batteries for use in industrial applications