08/19/2024, 09:27 PM UTC
弗劳恩霍夫IEE提供混合储能系统中电池老化的可靠预测Fraunhofer IEE Delivers Reliable Predictions for Battery Aging in Hybrid Storage Systems
➀ 弗劳恩霍夫IEE与Skeleton Technologies和AVL合作，开发了用于混合储能系统的模拟工具，可将电池寿命延长至多20%。➁ 这些工具的核心是一个基于BaSiS模拟环境的退化模型，该模型在现实条件下预测电池老化。➂ 这些工具允许优化配置和控制算法，以找到超级电容器和电池的最佳组合，适用于特定的系统设计和操作场景。➀ Fraunhofer IEE, in collaboration with Skeleton Technologies and AVL, has developed simulation tools for hybrid storage systems that can extend battery life by up to 20%. ➁ The core of these tools is a degradation model based on the BaSiS simulation environment, which predicts battery aging under realistic conditions. ➂ These tools allow for optimized configurations and control algorithms to find the best combination of supercapacitors and batteries for specific system designs and operational scenarios.
---
本文由大语言模型（LLM）生成，旨在为读者提供半导体新闻内容的知识扩展（Beta）。
