Plot OCV-SOC model s vs. V(s)( for all 8 models)

(hint: create s = 0:0.001:1 and compute V(s); then plot (s, V(s))

And yes please provide the MATLAB code

A linear OCV model satisfies v=V0(s)=p(s)Tk where V(s) denotes the OCV s[0,1] denotes the SOC, and p(s)T is a row vector of linearonlinear functions of s and k is the OCV parameter vector. Some linear models introduced in the literature are listed below: - Unnewehr universal model (or simply, linear model) p(s)T=[1s] - Shepherd model p(s)T=[1s1] - Nernst model p(s)T=[1ln(s)ln(1s)] - Combined model p(s)T=[1s1sln(s)ln(1s)] - Combined +3 model p(s)T=[1s1ss21s31s41ln(s)ln(1s)] - Polynomial model p(s)T=[1ssms1sn] - Exponential model Table 1: Data from four battery cells A linear OCV model satisfies v=V0(s)=p(s)Tk where V(s) denotes the OCV s[0,1] denotes the SOC, and p(s)T is a row vector of linearonlinear functions of s and k is the OCV parameter vector. Some linear models introduced in the literature are listed below: - Unnewehr universal model (or simply, linear model) p(s)T=[1s] - Shepherd model p(s)T=[1s1] - Nernst model p(s)T=[1ln(s)ln(1s)] - Combined model p(s)T=[1s1sln(s)ln(1s)] - Combined +3 model p(s)T=[1s1ss21s31s41ln(s)ln(1s)] - Polynomial model p(s)T=[1ssms1sn] - Exponential model Table 1: Data from four battery cells