| With the introduction of national policies on the sixth national emission standard for fuel vehicles and the continuous attention paid to new energy sources,electric vehicles will replace fuel vehicles with the advantages of environmental protection and energy conservation in the future.Due to the need to improve the storage capacity of batteries,the motor efficiency of vehicles,and environmental impact,which lead to unsatisfactory continuous navigation,it is very helpful to study the efficiency optimization of electric vehicle motor drive systems to increase the endurance of electric vehicles.The rapid commercialization of 5G technology has made it possible for electric vehicles to be networked,providing a solution for the optimization of motor drive synergy efficiency in electric vehicles.To sum up,quickly searching for optimal current in the networked environment of electric vehicles is the basis for improving motor drive efficiency;Collaborative sharing is the key to optimizing motor drive efficiency;The purpose of maximizing efficiency is to collect and transmit motor drive system status data using a collaborative sharing mechanism.Firstly,this paper analyzes the development status of electric vehicles,the Internet of Vehicles,motor drive systems,and multi vehicle collaboration,analyzes the motors selected for electric vehicles,introduces the mathematical model and vector control technology of permanent magnet synchronous motors,and simulates their drive systems,verifying the correctness of the simulation system.Then,an efficiency optimization method based on collaborative search for networked electric vehicle motor drive systems is proposed.The advantages and disadvantages of PMSM based on loss model and search technology were analyzed,and the optimization methods of search technology were emphatically compared and the golden section method in offline search was determined.The PMSM mathematical model was analyzed and a strategy based on the combination of loss model and golden section method was proposed.The time taken for the proposed hybrid strategy to achieve maximum efficiency was compared with traditional optimization methods,and the results showed that the search time of the proposed strategy was shorter,More efficient.Secondly,Next,a cluster networking method and information exchange mechanism are proposed to facilitate the efficiency optimization of electric vehicle motor drive systems.The exchange of data between vehicles is the basis for the collaborative optimization of a single motor drive system to multiple motor drive systems.Using the flexible characteristics of the vehicle mobility based clustering method,the vehicle nodes in the region are clustered.The collaboration under two communication conditions is tested and the cluster head is selected for the vehicle to ensure maximum transmission data,This paper proposes a scheme that divides the approach of data exchange into vehicle to vehicle cooperation and broadcast distribution,avoiding the redundancy of shared content.Finally,a collaborative scheme for networked multiple electric vehicle motor drive systems is designed.After a single electric vehicle motor drive system has searched for power loss data,a scheme for exchanging information from a vehicle to a roadside unit and then to a base station is designed using the combination of the two communication mechanisms and networking methods proposed in Chapter 4.At the same time,the loss of 10 sets of vehicles in two different states is simulated and analyzed,Realize a wider range of efficiency optimization of motor drive systems.Since then,optimization methods based on search efficiency and clustering transmission mechanisms can achieve maximum efficiency control of electric vehicle motor drive systems under the Internet of Vehicles. |
