Lityum-iyon Pillerin 40°C'de Uzun Vadeli Kapasite Bozulması: Termal Yönetim İçin Spline Regresyon Yaklaşımı

Abstract

Lityum-iyon piller, modern enerji depolama sistemleri için kritik öneme sahip olsa da yüksek sıcaklıklardaki kapasite bozulmaları önemli bir sorun olmaya devam etmektedir. Bu çalışma, doğrusal olmayan bozulma eğilimlerini modellemek amacıyla spline regresyon kullanarak, sürekli yüksek sıcaklık ortamına maruz bırakılan lityum-iyon pillerin uzun vadeli kapasite kaybını incelemektedir. Oxford Pil Bozulma Veri Seti'nden yararlanarak, uzun döngüler boyunca sekiz lityum-iyon poşet pil analiz edilmiş ve karmaşık bozulma davranışları ile sıcaklık kaynaklı kapasite kayıpları ölçülmüştür. Sonuçlar, yüksek sıcaklıklar ile hızlanan bozulma arasında güçlü bir korelasyon olduğunu göstermiş; spline regresyonun gözlemlenen verilere neredeyse mükemmel uyum sağladığı (R² = 1,0000) ve doğrusal olmayan bozulma modellerinde etkinliğini kanıtladığı görülmüştür. Analizler, üretim farklılıklarından kaynaklanan küçük sapmalar dışında, hücreler arasında tutarlı bir bozulma eğilimi olduğunu ortaya koymuştur. İlk döngülerdeki sıcaklık profilleri, lityum kaplama ve Katı Elektrolit Ara Yüzü (SEI) büyümesi gibi yan reaksiyonları hızlandıran termal dinamiklerin rolünü vurgulamıştır. Bu bulgular, bozulmayı azaltmak ve pil ömrünü uzatmak için sağlam termal yönetim sistemlerinin gerekliliğini göstermektedir. Çalışma, elektrikli araçlar ve şebeke depolama gibi yüksek sıcaklık uygulamalarında pil tasarımının ve yönetim stratejilerinin optimize edilmesine yönelik uygulanabilir içgörüler sunmaktadır.

Keywords

• Lityum-iyon piller
• Kapasite kaybı
• Yüksek sıcaklıkta bozulma
• Spline regresyon
• Termal yönetim

Long-Term Capacity Degradation of Lithium-ion Batteries at 40°C: A Spline Regression Approach for Thermal Management Insights

Abstract

Lithium-ion batteries are critical for modern energy storage systems, yet their capacity degradation under high temperatures remains a significant challenge. This study investigates the long-term capacity fade of lithium-ion batteries subjected to a consistent high-temperature environment using spline regression to model non-linear degradation trends. Utilizing the Oxford Battery Degradation Dataset, eight lithium-ion pouch cells were analyzed over extended cycles, and complex degradation behaviors and temperature-induced capacity losses were measured. Results demonstrated a strong correlation between elevated temperatures and accelerated degradation, with spline regression achieving near-perfect fits (R² = 1.0000) to the observed data, highlighting its efficacy in modeling non-linear fade patterns. The analysis revealed uniform degradation trends across cells, with minor variations attributed to manufacturing inconsistencies. Temperature profiles during initial cycles underscored the role of thermal dynamics in accelerating side reactions like lithium plating and Solid Electrolyte Interface (SEI) growth. These findings emphasize the necessity of robust thermal management systems to mitigate degradation and extend battery lifespan. The study provides actionable insights for optimizing battery design and management strategies in high-temperature applications, such as electric vehicles and grid storage.

Keywords

• Lithium-ion Batteries
• Capacity Fade
• High-Temperature Degradation
• Spline Regression
• Thermal Management

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