Pengli Yu

Mr. Pengli Yu

University of Science and Technology of China, Hefei, Anhui, China
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 September 2022 in World Electric Vehicle Journal
Verified
Journal Article
Open access
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Pengli YuPengli Yu
Pengli Yu
Mince LiMince Li
Mince Li
Yujie WangYujie Wang
Yujie Wang
Zonghai ChenZonghai Chen
Zonghai Chen
With the development of the global economy, the automobile industry is also developing constantly. In recent years, due to the shortage of environmental energy and other problems, seeking clean energy as the power source of vehicles to replace traditional fossil energy could be one of the measures to reduce environmental pollution. Among them, fuel cell hybrid electric vehicles (FCHEVs) have been widely studied by researchers for their advantages of high energy efficiency, environmental protection, and long driving range. This paper first introduces the topology of common FCHEVs and then classifies and introduces the latest energy management strategies (EMSs) for FCHEVs. Finally, the future trends of EMSs for FCHEVs are discussed. This paper can be useful in helping researchers better understand the recent research progress of EMSs for FCHEVs.

31 October 2022 in IEEE Transactions on Transportation Electrification
Verified
Journal Article
Closed access
Mince LiMince Li
Mince Li
Pengli YuPengli Yu
Pengli Yu
Yujie WangYujie Wang
Yujie Wang
ZSZhendong Sun
Zhendong Sun
Zonghai ChenZonghai Chen
Zonghai Chen
The hybrid system containing the fuel cell and energy storage sources contributes to realizing hydrogen energy in road traffic applications. It is meaningful to evaluate the different forms of system topology. In this work, the quantitative comparison of topologies and sensitivity analysis of system parameters are conducted. Firstly, the output characteristics of the fuel cell, battery, and ultracapacitor are modeled by experimental data. Secondly, the dimensions of four hybrid topologies are determined by an iterative constraint method. An energy management strategy based on dynamic programming is conducted for all topologies. Then the overall economic cost is used as an indicator for quantitative evaluation, considering the initial acquisition, hydrogen consumption, and component aging. The base-case results illustrate that the fuel/cell battery semi-active topology is the least costly one. Finally, seven parameters are analyzed to determine the system cost’s key factors. The relationship between costs and driving conditions is further studied. The rankings of the normalized parameter analysis results inspire us on how to further reduce the cost of fuel cell hybrid vehicles.