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Cui et al. Complex Eng Syst 2023;3:3  I http://dx.doi.org/10.20517/ces.2022.57    Page 7 of 15


                                             Table 1. The basic parameter of EHPS system
                              Name              Value           Name                  Value
                              m/kg              4495               21/(N•m/rad)       14,130
                              m s/kg            3350               23/(N•m/rad)       71,200
                                    /kg•m 2     2510                 1/(N•m•s/rad)    4,000
                                      /kg•m 2   2810                 1/(N•m•s/rad)    3,800
                                    /kg•m 2     18800             /m                  0.23
                                 1/(N/rad)      -2900                   /kg•m 2       0.04
                                 2/(N/rad)      -2900                                 0.62


                                           Table 2. The initial value and range of each variable
                                       Design variable  Initial value  Lower  Upper
                                          2
                                             (m )     1.2∗10 −4   0.5∗10 −4   2∗10 −4
                                             (m)      0.008       0.003       0.01
                                             (N/m)    80          30          150
                                            /kg•m 2   5∗10  −3    10 −3       10 −2
                                             (m)      0.05        0.01        0.1
                                          (m)         10 −3       10 −4       2∗10 −3


               3. INTEGRATION OPTIMIZATION
               As mentioned above, the optimization of EHPS system involves three evaluation indexes, steering road feel,
               steeringsensitivity,andsteeringenergyloss. Therefore,Amulti-objectivecollaborativeoptimizationmodelhas
               been built, which simplifies the system decoupling, and the multi-objective optimization algorithm is applied
               to the model for a Pareto optimal solution set. Besides, the basic parameters of the EHPS system are shown in
               Table 1.

               3.1. Optimization model
               Based on collaborative optimization theory, the main system is divided into three independent subsystems,
               which is convenient for parallel computation and reduces the optimization time. In the main system, three
               optimizationobjectives,steeringroadfeel,steeringsensibilityandenergyloss,areoptimizedbymulti-objective
               optimization algorithm. Besides, the consistency constraint of design parameters is taken as the optimization
               goal of each subsystem, and the sequential quadratic programming (NLPQL) algorithm is used to optimize
               each system.


               In this paper, the effective area of piston      , the moment of inertia of motor      , the stiffness coefficient      , the
               stator thickness      , the gap width of rotary valve and the radius of the rack and pinion       are selected as the
               optimization variables. The initial value and design scope of each variable are given in Table 2.


               The main system of optimization model is given by

                                                              
                                         
                                         
                                         
                                                                 
                                         
                                         
                                         
                                                                 
                                         
                                         
                                         
                                                                                        :              (13)
                                         
                                         
                                                 3 ≤       ≤ 5
                                         
                                         
                                         
                                         
                                                  ≤          ,       ,       ,       ,       ,    ≤      
                                         
                                         
                                                  1,2,3 ≤ 0.01
                                         
               where       is effective power torque, which is computed by
                                                                                                       (14)
                                                           =                    
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