電気自動車におけるエネルギー効率と炭素フットプリント削減のためのPID制御を用いたバッテリー充電プロセス最適化

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:PID制御の充電最適化が熱損失・炭素削減に与える定量的効果の基礎的知見を提供する。

🏢実務担当者:EV充電システム設計や車載BMSの省エネ改善、使用段階排出の削減検討に活用できる。

🏛政策担当者:EV充電効率基準や電力由来排出削減策の設計において、制御最適化の効果を参照できる。

Climate change is one of the greatest global challenges of the 21st century, primarily driven by carbon dioxide (CO2) emissions resulting from the combustion of fossil fuels. The need to reduce these emissions has propelled the development and adoption of cleaner and more sustainable technologies, among which electric vehicles (EVs) stand out. These vehicles eliminate direct pollutant emissions by not relying on fossil fuels; however, their true environmental impact depends on the efficiency with which their energy storage systems—batteries—are managed [1], [2]. Various studies have explored the use of PID controllers to optimize the battery charging process in EVs. According to [2], [3], [4], the implementation of PID controllers allows precise control of the charging current, minimizing spikes and preventing overcharging that could affect battery lifespan. Furthermore, recent studies [2], [3], [4] demonstrate that PID-based optimization reduces thermal losses by 15% compared to conventional methods, thereby improving energy efficiency and decreasing the indirect carbon footprint. This is particularly relevant since, in many countries, electricity generation still partially relies on non-renewable sources [5]. Moreover, this focus on sustainability aligns with the Sustainable Development Goals (SDGs), specifically in the areas of Affordable and Clean Energy (SDG 7), Industry, Innovation, and Infrastructure (SDG 9), and Climate Action (SDG 13). The implementation of PID controllers not only optimizes the charging process but also directly contributes to emission reductions and the efficient use of energy resources [2], [6]. Compared to other control methods, such as predictive control or fuzzy systems, the PID controller stands out for its simplicity and ease of implementation, while maintaining robust and stable performance [2], [3], [4]. These characteristics reinforce its selection for optimizing charging systems in electric vehicles. Thus, this study proposes the optimized use of PID controllers to maximize energy efficiency and reduce thermal losses during the battery charging process in electric vehicles. Through mathematical analysis and computational simulations, the dynamic behavior of the controlled system is evaluated, identifying improvements in charging stability, a reduction in carbon footprint, and an increase in battery lifespan. The results validate the proposal as an effective and sustainable solution for electric mobility.

• openalex https://doi.org/10.17163/abyaups.204.5first seen 2026-11-08 05:08:29 · last seen 2026-11-14 05:16:49