Design of electric drive system with SRM and its fuzzy controller for armored vehicles

2011 ◽  
Author(s):  
Qiuli Liu ◽  
Jianqiang Su ◽  
Xuemin Qiao ◽  
Yingkun Zhao
Keyword(s):  
Electric Drive ◽  
Fuzzy Controller ◽  
Drive System ◽  
Electric Drive System ◽  
Armored Vehicles

scholarly journals Design and Optimization of the Power Management Strategy of an Electric Drive Tracked Vehicle

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Qunzhang Tu ◽  
Xiaochen Zhang ◽  
Ming Pan ◽  
Chengming Jiang ◽  
Jinhong Xue
Keyword(s):  
Power Management ◽  
Electric Drive ◽  
Fuel Economy ◽  
Control Strategy ◽  
Fuzzy Controller ◽  
Management Control ◽  
Drive System ◽  
Tracked Vehicles ◽  
Hybrid Particle Swarm Optimization ◽  
Electric Drive System

This article studies the power management control strategy of electric drive system and, in particular, improves the fuel economy for electric drive tracked vehicles. Combined with theoretical analysis and experimental data, real-time control oriented models of electric drive system are established. Taking into account the workloads of engine and the SOC (state of charge) of battery, a fuzzy logic based power management control strategy is proposed. In order to achieve a further improvement in fuel economic, a DEHPSO algorithm (differential evolution based hybrid particle swarm optimization) is adopted to optimize the membership functions of fuzzy controller. Finally, to verify the validity of control strategy, a HILS (hardware-in-the-loop simulation) platform is built based on dSPACE and related experiments are carried out. The results indicate that the proposed strategy obtained good effects on power management, which achieves high working efficiency and power output capacity. Optimized by DEHPSO algorithm, fuel consumption of the system is decreased by 4.88% and the fuel economy is obviously improved, which will offer an effective way to improve integrated performance of electric drive tracked vehicles.

Evaluation Research on Hybrid Electric Drive System of Armored Vehicles Based on Multiple Attribute Decision Making

2013 ◽  
Vol 310 ◽  
pp. 334-338
Author(s):  
Bin Bin Pang ◽  
Zi Li Liao ◽  
Yu Lin Yan ◽  
Zhi Feng Yan
Keyword(s):  
Electric Drive ◽  
Evaluation Research ◽  
Projection Pursuit ◽  
Multiple Attribute Decision Making ◽  
Drive System ◽  
Electric Drive System ◽  
Multiple Attribute ◽  
Hybrid Electric ◽  
Armored Vehicles ◽  
Scheme Evaluation

According to the analysis of wheeled armored vehicles hybrid electric drive system design scheme, we determined the factors set matrix and scheme set matrix of hybrid electric drive scheme evaluation based on some subjective and objective experience. We adopt projection pursuit index function to measure the size of projection exposing to a decision the structure, and looking for mission projection objective function to achieve optimal projection value. Finally, we set quality order according to the projection value for armored vehicles hybrid electric drive system decision scheme, and choose the best possible solution.

scholarly journals Preface for Special Issue on Electric Drive System for Vehicles

2021 ◽  
Vol 4 (1) ◽  
pp. 1-2
Author(s):  
Xiangyang Xu ◽  
Guangyu Tian ◽  
Hui Liu
Keyword(s):  
Electric Drive ◽  
Drive System ◽  
Special Issue ◽  
Electric Drive System
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