the constraint on parameter $\Omega_{\rm m}$ is from $1.07\%$ to $0.34\%$ in the $\Lambda$CDM model, from $1.35\%$ to $0.40\%$ in the $w$CDM model, from $1.66\%$ to $0.54\%$ in the CPL model, and from $1.30\%$ to $0.81\%$ in the HDE model. For the parameter $h$, the constraint is improved from $0.39\%$ to $0.18\%$ in the $\Lambda$CDM model, from $0.97\%$ to $0.37\%$ in the $w$CDM model, from $0.94\%$ to $0.47\%$ in the CPL model, and from $0.86\%$ to $0.25\%$ in the HDE model. For the parameters of dark energy, the improvement is from $4.38\%$ to $2.88\%$ for the parameter $w$ in the $w$CDM model, from $5.55\%$ to $3.56\%$ for the parameter $w_{0}$ in the CPL model, from $34.46\%$ to $28.97\%$ for the parameter $w_{a}$ in the CPL model, and from $5.49\%$ to $1.16\%$ for the parameter $c$ in the HDE model. Therefore, we conclude that the redshift drift data of SKA will help to significantly improve the constraints of parameters and break the degeneracy between the parameters in constraining dark energy in the future.

Conclusion {#sec:Conclusion}
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In this work, we wish to investigate what extent the cosmological parameters can be constrained to when the redshift drift data of SKA are used 