Optimal Sizing and Improved Low-Pass Filter Energy Management for Hybrid Energy Storage Electric Vehicles

被引:0
|
作者
Maghfiroh, Hari [1 ,2 ]
Wahyunggoro, Oyas [1 ]
Cahyadi, Adha Imam [1 ]
机构
[1] Univ Gadjah Mada, Dept Elect & Informat Engn, Yogyakarta 55281, Indonesia
[2] Univ Sebelas Maret, Dept Elect Engn, Surakarta 57126, Indonesia
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Batteries; Energy management; Energy storage; Low-pass filters; Optimization; Mathematical models; DC-DC power converters; US Department of Defense; Traction motors; State of charge; Climate change; Electric vehicles; energy management; hybrid energy storage; optimization; sizing; STRATEGIES;
D O I
10.1109/ACCESS.2024.3509481
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The global promotion of electric vehicle (EV) usage is a response to the challenges of energy crises and climate change. However, significant drawbacks remain, particularly related to the high costs and limitations of onboard energy storage. To mitigate these issues, the concept of Hybrid Energy Storage Systems (HESS), which integrate batteries with complementary energy storage solutions, has gained attention. This study focuses on the optimal sizing and energy management strategy of HESS, which are critical for enhancing the performance and viability of these systems in EVs. An Improved Low-Pass Filter (ILPF) is introduced to address limitations of conventional low-pass filters (LPF), including phase shift effects and state of charge limitations while optimizing the cut-off frequency and ensuring adaptability to varying driving conditions. Particle Swarm Optimization (PSO) is employed to achieve optimal sizing of the HESS and to develop an efficient energy management strategy (EMS). The performance of the ILPF is validated against a Fuzzy Logic Controller (FLC) and a conventional-LPF across various driving cycles. Simulation results demonstrate that the proposed ILPF significantly enhances performance, achieving up to an 8.345% improvement in city driving conditions compared to battery-only electric vehicles.
引用
收藏
页码:180926 / 180938
页数:13
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