자료유형  

 학위논문

Control Number  

0017160962

International Standard Book Number  

9798383708149

Dewey Decimal Classification Number  

300

Main Entry-Personal Name  

Zhuang, Jihan.

Publication, Distribution, etc. (Imprint  

[S.l.] : Stanford University., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

120 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-02, Section: B.

General Note  

Advisor: Benson, Sally M.;Chueh, William;Onori, Simona.

Dissertation Note  

Thesis (Ph.D.)--Stanford University, 2024.

Summary, Etc.  

요약This thesis focuses on the development of a decision-making model to determine the solution for a retired battery. The model evaluates the retired battery from both technical and economical perspectives. It integrates a module-level aging model with an economic evaluation model to assess the values of Second Life Batteries for the most commonly cited second-life use cases. Finally, the highest value among different second life applications is compared with the recycling value to determine the optimal strategy for a given retired Li-ion battery.In the first part of the thesis, a module-level degradation model was developed. This model consists of cell-level data-driven model, Equivalent Circuit Model and Series-Parallel Connection Model. Utilizing Machine Learning techniques like Neural Networks and Gaussian Process Regression, a cell-level degradation model is constructed. Afterwards, this model, along with the Equivalent Circuit and Series-Parallel Connection Models, simulates the module-level aging of second-life batteries. Monte Carlo analysis captures the statistical battery module performance across multiple simulations, revealing divergent aging trajectories under varied use cases. The simulation results show a wide range of remaining useful life of used batteries in different second life applications.In the second part of the thesis, an economic model was integrated with the module-level degradation model to estimate the selling price of used batteries. The economic model based on the present value of future cash flows to calculate the value of second life batteries in terms of different applications. The selling price of the used battery modules after repurposing was calculated by equating the net present value of new and used batteries. The selling price was compared with recycling value and the final decision was made based on the comparison between the maximum value obtained from repurposing and recycling. The results of the economic model suggest that the values of retired batteries varied case by case so that the decision should be made based on the actual situation of each use case.The third part culminates in a pivotal use case study that underscores the practical application of the decision-making model. Focused on the Stanford electric bus charging station, this case study examines retired batteries as a potential solution. The investigation incorporates diverse factors influencing battery aging, utilizing simulation outcomes from the module-level degradation model to define optimal operational parameters. Furthermore, a sensitivity analysis of the economic model parameters evaluates their impact on pricing dynamics. This comprehensive approach assesses the economic viability of implementing second-life batteries across various scenarios, delineating cost reductions compared to deploying new batteries. The findings from this case study exemplify the successful utilization of the decision-making model, demonstrating the economic feasibility of integrating second-life batteries as an energy storage system within the Stanford electric bus charging station.

Subject Added Entry-Topical Term  

Monte Carlo simulation.

Subject Added Entry-Topical Term  

Motivation.

Subject Added Entry-Topical Term  

Success.

Subject Added Entry-Topical Term  

Neural networks.

Subject Added Entry-Topical Term  

Personal development.

Subject Added Entry-Topical Term  

Decision making.

Subject Added Entry-Topical Term  

Energy storage.

Subject Added Entry-Topical Term  

Electric vehicle charging stations.

Added Entry-Corporate Name  

Stanford University.

Host Item Entry  

Dissertations Abstracts International. 86-02B.

Electronic Location and Access  

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Control Number  

joongbu:657200