10f95c7c122a9c48f10369adfaf5775e89912c7b,trunk/SUAVE/Methods/Propulsion/electric_motor_sizing.py,,optimize_kv,#,130

Before Change

    bnds = [(lb,ub)]
    
    // constraints 
    cons = ({"type": "ineq", "fun": lambda x: ((v-omeg/x[0])*(1.-etam*v*x[0]/omeg))/io - 0.001}) // Added a tolerance on resistance, cant be less than 0.001 ohms  
    
    // solve 
    sol  = minimize(objective,(0.5), method = "SLSQP",bounds = bnds, constraints = cons ) 

After Change

    cons1 = [{"type":"eq", "fun": constraint_1,"args": args},
            {"type":"eq", "fun": constraint_2,"args": args}]
    
    cons2 = [{"type":"eq", "fun": constraint_2,"args": args}] 
    
    bnds = ((0.001, 100), (0.001, 10))
    sol = minimize(objective, [0.5, 0.1], args=(v , omeg,  etam , Q , io) , method="SLSQP", bounds=bnds, tol=1e-6, constraints=cons1) 
    
    if sol.success == False:
        sol = minimize(objective, [0.5, 0.1], args=(v , omeg,  etam , Q , io) , method="SLSQP", bounds=bnds, tol=1e-6, constraints=cons2)         
    
    return sol.x   
  

Instances