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驾驶循环和地形对电动汽车电池化学性能与成本的影响对比分析
Impact of Driving Cycles and Terrain on the Performance and Cost of EV Battery Chemistries: A Comparative Analysis and Evaluation
| 作者 | Eymen Ipek · Cagatay Bilgin · Melih Yordem · Yigit Iscanoglu · Murat Yilmaz |
| 期刊 | IEEE Access |
| 出版日期 | 2025年1月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★ 4.0 / 5.0 |
| 关键词 | 电动汽车 电池化学 成本 性能 能量密度 |
语言:
中文摘要
电动汽车普及面临电池成本挑战。本文全面对比锂离子、钠离子和固态电池在电动汽车应用中的成本和性能,配置42kWh入门级和85kWh高端电池,使用MATLAB/Simulink和AVL CRUISE仿真不同驾驶工况下的动力系统能耗。结果显示重量能量密度对能耗率的影响、考虑循环寿命的单位里程购车成本,以及地形类型对续航的影响。研究表明低能量密度电池化学在平坦地形可成为经济高效替代方案。
English Abstract
The widespread adoption of electric vehicles (EVs) faces significant cost challenges, primarily driven by battery pack expenses. Key attributes such as energy density, longevity, power density, safety, and cost can vary greatly depending on battery chemistry, including variations in anode, cathode, and electrolyte compositions within the same chemistry, which directly affect vehicle performance, range, and pricing. This study offers a comprehensive comparison of the cost and performance of various battery chemistries, including lithium-ion (Li-ion), sodium-ion (Na-ion), and solid-state batteries (SSBs), in the context of EV applications. The comparison involved configuring entry-level and premium EV batteries with capacities of 42 kWh and 85 kWh, respectively, using standardized cell sizes for each chemistry. Powertrain consumption was simulated under different driving conditions such as highway, urban dynamic, and urban aggressive across various road slopes using MATLAB/Simulink and AVL CRUISETM M software. The results highlight the influence of gravimetric energy density on energy consumption rates, vehicle purchasing cost per mileage considering cycle life, and the impact of terrain types on vehicle range. Notably, our findings indicate that battery chemistries with lower energy density can be a cost-effective alternative, especially in regions with flat terrain.
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SunView 深度解读
该电池性能评估技术对阳光电源新能源汽车业务具有重要指导。阳光OBC车载充电机和电机控制器需适配多种电池化学体系,该研究的多工况仿真方法可优化阳光充电策略。针对不同地形和驾驶循环,阳光可开发自适应充电算法,优化电池寿命和充电效率,为800V高压快充平台提供更精准的能量管理方案。