Kai Zhao

Prof. Kai Zhao

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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15 June 2022 in Materials
Verified
Journal Article
Open access
PDF file
CCChangdong Chen
Changdong Chen
KZKai Zhao
Kai Zhao
MLMing La
Ming La
CYChenghao Yang
Chenghao Yang
To investigate the alternatives to lithium-ion batteries, potassium-ion batteries have attracted considerable interest due to the cost-efficiency of potassium resources and the relatively lower standard redox potential of K+/K. Among various alternative anode materials, hard carbon has the advantages of extensive resources, low cost, and environmental protection. In the present study, we synthesize a nitrogen-doping hard-carbon-microsphere (N-SHC) material as an anode for potassium-ion batteries. N-SHC delivers a high reversible capacity of 248 mAh g−1 and a promoted rate performance (93 mAh g−1 at 2 A g−1). Additionally, the nitrogen-doping N-SHC material also exhibits superior cycling long-term stability, where the N-SHC electrode maintains a high reversible capacity at 200 mAh g−1 with a capacity retention of 81% after 600 cycles. DFT calculations assess the change in K ions’ absorption energy and diffusion barriers at different N-doping effects. Compared with an original hard-carbon material, pyridinic-N and pyrrolic-N defects introduced by N-doping display a positive effect on both K ions’ absorption and diffusion.

22 May 2022 in Micromachines
Verified
Journal Article
Open access
PDF file
KZKai Zhao
Kai Zhao
CCChangdong Chen
Changdong Chen
MLMing La
Ming La
CYChenghao Yang
Chenghao Yang
In recent years, atomic-doping has been proven to significantly improve the electrochemical performance of biomass-derived carbon materials, which is a promising modification strategy. Among them, there are relatively few reports about O-doping. Here, porous carbon derived from orange peel was prepared by simple carbonization and airflow-annealing processes. Under the coordination of microstructure and surface groups, the derived carbon had excellent electrochemical performance for the K-ion batteries’ anode, including a high reversible specific capacity of 320.8 mAh/g, high rate performance of 134.6 mAh/g at a current density of 2000 mA/g, and a retention rate of 79.5% even after 2000 long-term cycles, which shows great application potential. The K-ion storage mechanisms in different voltage ranges were discussed by using various characterization techniques, that is, the surface adsorbed of K-ionswas in the high-potential slope area, and the intercalation behavior corresponded to the low-potential quasi-plateau area. In addition, the density functional theory calculations further confirmed that O-doping can reduce the adsorption energy barrier of K-ions, change the charge density distribution, and promote the K-ion storage. In particular, the surface Faraday reaction between the C=O group and K-ions plays an important role in improving the electrochemical properties.

23 October 2026 in Applied Soft Computing
Verified
Journal Article
Closed access
JRJunchao Ren
Junchao Ren
CZChunhua Zhu
Chunhua Zhu
YZYuhong Zhang
Yuhong Zhang
NLNing Li
Ning Li
KZKai Zhao
Kai Zhao
YGYuehong Gong
Yuehong Gong

30 October 2026 in World Electric Vehicle Journal
Verified
Journal Article
Open access
PDF file
BXBinfeng Xu
Binfeng Xu
FZFujian Zhang
Fujian Zhang
XXXiaojun Xin
Xiaojun Xin
KZKai Zhao
Kai Zhao
XZXiaojiang Zou
Xiaojiang Zou
Sodium-ion batteries are promising for cost-sensitive and low-temperature electric-vehicle applications, yet reliable battery management systems (BMSs) require evaluation beyond a development cell. This study develops a lightweight multi-task gated recurrent unit (GRU) framework that integrates timestep-level state-of-charge (SOC) estimation with window-based, cycle-informed state-of-health (SOH) estimation. The main A6 configuration uses aging-sensitive descriptors and contains 24,882 trainable parameters. On the NFM source-domain test set, A6 achieves 1.078% SOC root-mean-square error (RMSE), 0.978% cycle-aggregated SOH RMSE, and an SOH coefficient of determination (R2) of 0.835, compared with 2.409% SOH RMSE for the constant-mean baseline. An ablation analysis distinguishes the effects of task coupling and input observability. A separate three-input source-trained backbone is evaluated for external SOC transfer: on Hina, zero-shot RMSE is 22.5–36.2%, and calibration with 25% of the target cell’s 25 °C records reduces errors at unseen temperatures to 14.0–27.4%; on the CVUT 4S11P cold-start battery pack, zero-shot RMSE of approximately 27–29% decreases to 12.0–19.7% following adaptation on the first 25% of time-ordered records. The separate source-domain and transfer tests show why low in-domain error alone cannot establish SOC accuracy on a different commercial cell or battery pack, even when limited target-domain calibration is available.