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Transient Thermal Simulation of Lithium-Ion Batteries for Hybrid/Electric Vehicles

Nicholas John Arthur Vinten

Transient Thermal Simulation of Lithium-Ion Batteries for Hybrid/Electric Vehicles.

Rel. Andrea Tonoli. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2023

Abstract:

One of the major challenges with the implementation of lithium-ion batteries in electric and hybrid vehicles (EVs and HEVs) is effective thermal management. Inherently, lithium-ion batteries are thermally sensitive which causes a reduction in vehicle performance and thermal degradation when operated outside of the recommended temperature range. However, the lithium-ion battery thermal management can be difficult in full-vehicle systems, due to the highly transient conditions demanded by the driver. Therefore, accurate full-vehicle and battery thermal models are required in order to predict the battery temperature throughout various driving conditions. This thesis begins with the development of a plug-in hybrid vehicle (PHEV) full-vehicle transient thermal model in Virtual Time-Temperature Analysis software in order to predict the battery surface temperature. The full-vehicle thermal model consists of a full exhaust piping system, a high-voltage lithium-ion battery pack system, and a liquid closed-loop battery coolant system. All modes of heat transfer including conduction, forced and natural convection, radiation, battery cooling, and battery internal heat generation are considered in the model. The full-vehicle model is simulated under various vehicle conditions to represent four standard customer drive cycles. The simulated battery surface temperature at specified points along the battery module surfaces is compared to experimental vehicle test-cell data to provide model validation. The second part of this thesis focuses on the implementation of a thermal degradation model using time-temperature analysis. Time-temperature analysis predicts the thermal degradation over the entire life cycle of the vehicle. The analysis utilizes the thermal history results of the full-vehicle model, historical regional weather data, battery material properties, and several temperature goals to predict the amount of thermal degradation in the form of equivalent temperature exposure times.

Relatori: Andrea Tonoli
Anno accademico: 2023/24
Tipo di pubblicazione: Elettronica
Numero di pagine: 152
Informazioni aggiuntive: Tesi secretata. Fulltext non presente
Soggetti:
Corso di laurea: Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-33 - INGEGNERIA MECCANICA
Aziende collaboratrici: Politecnico di Torino
URI: http://webthesis.biblio.polito.it/id/eprint/28889
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