$1.60\%$ to $1.35\%$ in the $w$CDM model, from $1.72\%$ to $1.30\%$ in the HDE model. The precision of $h$, $w_{0}$, $w_{a}$ and $c$ are also enhanced in the $\Lambda$CDM, $w$CDM, and HDE models; for details, see Table \[Precision\]. Adding the SKA1 mock data to the data combination of SN+CMB+BAO+E-ELT, the improvement of the constraint on parameter $\Omega_{\rm m}$ is from $1.07\%$ to $0.88\%$ in the $\Lambda$CDM model, from $1.35\%$ to $1.02\%$ in the $w$CDM model, from $1.66\%$ to $1.25\%$ in the CPL model, and from $1.30\%$ to $0.97\%$ in the HDE model. For the parameter $h$, the constraint is improved from $0.39\%$ to $0.35\%$ in the $\Lambda$CDM model, from $0.97\%$ to $0.75\%$ in the $w$CDM model, from $0.94\%$ to $0.76\%$ in the CPL model, and from $0.86\%$ to $0.37\%$. For the parameters of dark energy, the improvement is from $4.38\%$ to $3.98\%$ for the parameter $w$ in the $w$CDM model, from $5.55\%$ to $4.68\%$ for the parameter $w_{0}$ in the CPL model, from $34.46\%$ to $31.51\%$ for the parameter $w_{a}$ in the CPL model, and from $5.33\%$ to $2.05\%$ for the parameter $c$ in the HDE model.

Furthermore, when the SKA2 mock data are combined with SN+CMB+BAO+E-ELT, the improvement of 