Search Results for author: Gabriele Pozzato

Found 8 papers, 0 papers with code

Taking Second-life Batteries from Exhausted to Empowered using Experiments, Data Analysis, and Health Estimation

no code implementations29 Feb 2024 Xiaofan Cui, Muhammad Aadil Khan, Gabriele Pozzato, Surinder Singh, Ratnesh Sharma, Simona Onori

The reuse of retired electric vehicle (EV) batteries in electric grid energy storage emerges as a promising strategy to address environmental concerns and boost economic value.

Core-shell enhanced single particle model for lithium iron phosphate batteries: model formulation and analysis of numerical solutions

no code implementations16 Aug 2022 Gabriele Pozzato, Aki Takahashi, Xueyan Li, Donghoon Lee, Johan Ko, Simona Onori

In this paper, a core-shell enhanced single particle model for iron-phosphate battery cells is formulated, implemented, and verified.

Core-shell enhanced single particle model for LiFePO$_4$ batteries

no code implementations20 May 2022 Aki Takahashi, Gabriele Pozzato, Anirudh Allam, Vahid Azimi, Xueyan Li, Donghoon Lee, Johan Ko, Simona Onori

In this paper, a novel electrochemical model for LiFePO$_4$ battery cells that accounts for the positive particle lithium intercalation and deintercalation dynamics is proposed.

Sensitivity analysis of a mean-value exergy-based internal combustion engine model

no code implementations18 Jan 2022 Gabriele Pozzato, Denise Rizzo, Simona Onori

Such an analysis allows to assess how driving conditions and environment affect the exergetic behavior of the engine, providing insights on the system's inefficiency.

Mean-value exergy modeling of internal combustion engines: characterization of feasible operating regions

no code implementations16 Jun 2021 Gabriele Pozzato, Denise Rizzo, Simona Onori

In this paper, a novel mean-value exergy-based modeling framework for internal combustion engines is developed.

Exergy-based modeling framework for hybrid and electric ground vehicles

no code implementations15 Mar 2021 Federico Dettù, Gabriele Pozzato, Denise M. Rizzo, Simona Onori

To show the capabilities of the proposed model in quantifying, locating, and ranking the sources of exergy losses, two case studies based on an electric vehicle and a parallel hybrid electric vehicle are analyzed considering a real-world driving cycle.

Management

Modeling Degradation for Second-life Battery: Preliminary Results

no code implementations7 Feb 2021 Gabriele Pozzato, Seong Beom Lee, Simona Onori

This paper presents a novel battery modeling framework based on the enhanced single particle model (ESPM) to account for degradation mechanisms of second-life batteries.

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