Overview on Energy Management of Electric Vehicles with Intelligent Braking Controllers

被引:0
|
作者
Raud, Zoja [1 ]
Vodovozov, Valery [1 ]
机构
[1] Tallinn Univ Technol, Dept Elect Power Engn & Mechatron, Tallinn, Estonia
关键词
electric vehicles; brakes; intelligent control; fuzzy control; neurocontrollers; ADAPTIVE FUZZY CONTROLLER; NEURAL-NETWORK; SYSTEMS; STABILIZATION; STRATEGY;
D O I
10.1109/RTUCON53541.2021.9711715
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Despite many advantages that modern society benefits from electric vehicles, there are still significant obstacles to their widespread adoption, primarily related to the batterybased energy sources. This overview addresses one of the areas of battery and hybrid electric car management, namely, the energy recovery during their gradual and emergency deceleration. Based on the offered classification of braking controllers, only solutions that lead to energy savings are considered here, and, first of all, those that were tested in real vehicles or in laboratories. From this side, several categories of intelligent systems are briefly analyzed, such as fuzzy logic, neural networks, and their associations.
引用
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页数:4
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