Zhang Zhigang

Dr. Zhang Zhigang


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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2 March 2024 in Nonlinear Dynamics
Verified
Journal Article
Closed access
PDF file
SGShuaishuai Ge
Shuaishuai Ge
LQLonghui Qiu
Longhui Qiu
ZZZhang Zhigang
Zhang Zhigang
HWHuan Wang
Huan Wang
MHMinghui Hu
Minghui Hu

9 August 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
Aihua TangAihua Tang
Aihua Tang
YYyuanhang yang
yuanhang yang
Quanqing YuQuanqing Yu
Quanqing Yu
ZZZhang Zhigang
Zhang Zhigang
LYlin yang
lin yang
The proton-exchange membrane fuel cell (PEMFC) has the advantage of high energy conversion efficiency, environmental friendliness, and zero carbon emissions. Therefore, as an attractive alternative energy, it is widely used in vehicles. Due to its high nonlinearity, strong time variation, and complex failure mechanisms, it is extremely difficult to predict PEMFC life in electric vehicles. The uncertainty of life predictions for the PEMFC limits its wide application. Since it is particularly important to accurately carry out PEMFC life predictions, significant research efforts are directed toward tackling this issue by adopting effective methods. In this paper, a number of PEMFC life prediction methods for electric vehicles are reviewed and summarized. The goal of this review is to render feasible and potential solutions for dealing with PEMFC life issues considering dynamic vehicle conditions. Based on this review, the reader can also easily understand the research status of PEMFC life prediction methods and this review lays a theoretical foundation for future research.

15 July 2025 in Expert Systems with Applications
Verified
Journal Article
Closed access
ZCZhige Chen
Zhige Chen
ZZZhang Zhigang
Zhang Zhigang
QSQizheng Su
Qizheng Su
KYKai Yang
Kai Yang
YWYandong Wu
Yandong Wu
Xiaolin TangXiaolin Tang
Xiaolin Tang

12 January 2021 in International Journal of Energy Research
Verified
Journal Article
Open access
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JNJuntian Niu
Juntian Niu
Wenjie QiWenjie Qi
Wenjie Qi
CLChang Li
Chang Li
MMMin Mao
Min Mao
ZZZhang Zhigang
Zhang Zhigang
SGShuaishuai Ge
Shuaishuai Ge
Density functional theory (DFT) was used to calculate the stability, oxygen reduction reaction (ORR) mechanism and activity of B‐doped FeN4CNT (carbon nano‐tube [CNT]) and FeN4G (G, graphene). The B‐doped catalysts are more stable and active than that of the un‐doped, especially for FeN4B2G and FeN4B2CNT. Based on the Mulliken charge and electrostatic potential surface of these catalysts, Fe atom is found to be the most active site for the adsorption of O‐contained species. It is shown that their adsorption energies decrease in the range: O > OH > Co‐ad OH > OOH > O2 > H2O > H2O2 on these catalysts. H2O2 will be directly dissociated into two co‐adsorbed OH* or O* + H2O* instead of H2O2 on the graphene series catalysts, and the process of reaction (H2O2 + * → 2OH*) on the active sites of the CNT series catalysts is strongly exothermic. Hence, desorption of H2O2* into the solution is difficult to proceed during the oxygen reduction process. All the catalysts are expected to promote a single site four electron process through the reaction path of I (O2 → O2* → OOH* → O* → OH* → H2O) except for the catalyst of FeN4CNT. The rate‐determining step (RDS) for ORR process on FeN4B2G is the first reduction step (O2* → OOH*), while the RDS is the fourth reduction step (OH* → H2O) for the other catalysts. FeN4B2G exhibits the largest on‐set potentials of 0.53 V, which is larger than the on‐set potential of un‐doped B FeN4G catalyst (0.39 V). In addition, the B‐doped FeN4CNT catalyst shows the better activity compared to the un‐doped ones.

13 July 2022 in International Journal of Energy Research
Verified
Journal Article
Closed access
Aihua TangAihua Tang
Aihua Tang
Chun WangChun Wang
Chun Wang
DZDongyang Zhang
Dongyang Zhang
KZKaiqing Zhang
Kaiqing Zhang
YZYapeng Zhou
Yapeng Zhou
ZZZhang Zhigang
Zhang Zhigang

30 July 2024 in Nonlinear Dynamics
Verified
Journal Article
Closed access
PDF file
SGShuaishuai Ge
Shuaishuai Ge
JYJingpeng Yan
Jingpeng Yan
YYYaoze Yang
Yaoze Yang
ZZZhang Zhigang
Zhang Zhigang
HWHuan Wang
Huan Wang