基于Driving profile的电动汽车混合储能系统设计问题

IF 4.8 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Michal Frivaldsky;Matúš Danko;Tristan Schoenfelder;Martin Zavrel
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引用次数: 0

摘要

本文研究了电动汽车混合能源存储系统(HESS)的设计挑战,重点是基于驾驶特征的优化。二氧化碳排放量的增加,特别是在道路交通方面,需要先进的能源解决方案。特别是,电动汽车在减少运输部门的排放方面具有巨大的潜力。然而,现有的储能技术,如锂电池,在功率和能量密度以及成本效率等方面都有很大的局限性。为了解决这些限制,本研究考察了电池- sc混合系统,这是HESS的一种形式。使用MATLAB Simulink,计算了选定的城市,组合和高速公路行驶周期的能量和功率需求。基于车辆动力学数学模型的仿真结果,确定了电池和SC模块的最优配置。在为不同的车型设计HESS时,主要研究结果突出了性能、重量和成本方面的权衡。该研究的结论是,尽管HESS解决方案显著提高了能源效率,延长了电池寿命,但对于中高档汽车来说,实施起来仍然很复杂,成本也很高。对于低端车辆,HESS提供了一种有效的策略来平衡能源和电力需求,为可持续交通解决方案做出贡献。研究结果为开发针对特定驾驶条件设计的可扩展且高效的混合存储系统提供了重要见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design Issues of Hybrid Energy Storage Systems of Electric Vehicles According to Driving Profiles
This article examines the design challenges of hybrid energy storage systems (HESS) for electric vehicles (EVs), focusing on optimization based on driving profiles. Rising carbon dioxide emissions, especially in road traffic, require advanced energy solutions. In particular, electric vehicles offer great potential for reducing emissions in the transport sector. However, existing energy storage technologies such as lithium batteries have significant limitations in terms of power and energy density as well as cost efficiency, etc. To address these limitations, this study examines battery-SC hybrid systems, which represent a form of HESS. Using MATLAB Simulink, energy and power requirements are calculated for selected urban, combined, and motorway driving cycles. Based on the simulation results, which are obtained from mathematical vehicle dynamics models, this paper determines optimal configurations for battery and SC modules. Key findings highlight the trade-offs in performance, weight, and cost when designing HESS for varying vehicle classes. The study concludes that while HESS solutions significantly enhance energy efficiency and extend battery lifespan, their implementation remains complex and cost-intensive for medium and high-class vehicles. For lower-class vehicles, HESS offers an effective strategy to balance energy and power demands, contributing to sustainable transport solutions. The results provide important insights for the development of scalable and efficient hybrid storage systems that are designed for specific driving conditions.
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来源期刊
CiteScore
9.60
自引率
0.00%
发文量
25
审稿时长
10 weeks
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