Optimal Sizing and Energy Management for Cost-Effective PEV Hybrid Energy Storage Systems
Xiaoying Lu1; Haoyu Wang2
2019
Source PublicationIEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
ISSN1941-0050
VolumePPIssue:99Pages:1
Status已发表
DOI10.1109/TII.2019.2957297
Abstract

In battery/ultracapacitor (UC) hybrid energy storage systems (HESS), sizing and energy management strategies are crucial, which determine the system cost and performance. However, research on these two problems in a coupled manner for plug-in electric vehicles is still immature. This study aims at resolving this issue in the perspective of minimizing the average operating cost. Both manufacturing cost and system end-oflife timing are incorporated. A quantitative battery degradation model is employed to evaluate the battery dynamic capacity loss and cycle life. Dynamic programming algorithm is then deployed to achieve optimal power distribution between battery and UC. Furthermore, the power management and HESS optimal sizing strategies are unified into a single cost-minimization problem. Combining those efforts, the optimal size of the HESS with minimized average operating cost is solved by simulated annealing method. Optimization results illustrate that a minimum cost of 15.52 USD is achieved with 72 UC cells and 7100 battery cells. A large set of simulation data has proved the optimality of the optimization results. Compared with the battery-only solution, the proposed solution demonstrates 11.9% cost reduction and 21.7% battery cycle life extension under the Urban Dynamometer Driving Schedule. Moreover, the temperature rise of the battery is reduced by 31.1%. Finally, based on the optimal results, the energy management strategy is extended to fit real-time applications by utilizing Markov chain and stochastic dynamic programming.

KeywordBatteries Energy management Optimization Degradation Informatics Estimation
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Indexed BySCI ; EI
EI Accession Number20200908219997
EI KeywordsCharging (batteries) ; Cost effectiveness ; Cost reduction ; Digital storage ; Dynamometers ; Energy management ; Energy management systems ; Energy storage ; Manufacture ; Markov chains ; Operating costs ; Plug-in electric vehicles ; Power management ; Secondary batteries ; Simulated annealing ; Stochastic systems ; Storage management
EI Classification NumberEnergy Management and Conversion:525 ; Heat Treatment Processes:537.1 ; Secondary Batteries:702.1.2 ; Electric Transmission and Distribution:706 ; Data Storage, Equipment and Techniques:722.1 ; Database Systems:723.3 ; Industrial Economics:911.2 ; Optimization Techniques:921.5 ; Mechanical Instruments:943.1 ; Systems Science:961
Original Document TypeEarly Access Articles
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttps://kms.shanghaitech.edu.cn/handle/2MSLDSTB/104511
Collection信息科学与技术学院_硕士生
信息科学与技术学院_PI研究组_王浩宇组
Affiliation1.Shanghai China 201210
2.ShanghaiTech University, Shanghai China 201210
Recommended Citation
GB/T 7714
Xiaoying Lu,Haoyu Wang. Optimal Sizing and Energy Management for Cost-Effective PEV Hybrid Energy Storage Systems[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2019,PP(99):1.
APA Xiaoying Lu,&Haoyu Wang.(2019).Optimal Sizing and Energy Management for Cost-Effective PEV Hybrid Energy Storage Systems.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,PP(99),1.
MLA Xiaoying Lu,et al."Optimal Sizing and Energy Management for Cost-Effective PEV Hybrid Energy Storage Systems".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS PP.99(2019):1.
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