A Novel Energy-Efficiency Optimization Approach Based on Driving Patterns Styles and Experimental Tests for Electric Vehicles

Electric vehicles and driving patterns

The magnitude of personal travel in the industrialised society has increased tremendously. In Sweden, the average travelled distance per person is currently around 40 km per day (see Figure 10.1). Travelling distances are related to speed. Studies show that the time spent on travel tends to be relatively constant at around one hour a day on average. The historical development of new transport t...

Energy Efficiency of Electric Vehicles

A Novel Approach to Design the Dual Rotor Switched Reluctance Motor Based Electric Vehicles

Electric and hybrid electric vehicles are attractive candidates for sustainable transportation due to its higher efficiency and low emission. The critical choice on the electric motors is its capability of motoring and regenerative braking characteristics. Switched reluctance machines are viable candidate as with proper control and extended constant power range operation replacing the multi-gea...

A Dynamic Control Strategy for Hybrid Electric Vehicles Based on Parameter Optimization for Multiple Driving Cycles and Driving Pattern Recognition

Zhenzhen Lei 1,2, Dong Cheng 1, Yonggang Liu 1,2,*, Datong Qin 1, Yi Zhang 3 and Qingbo Xie 1 1 State Key Laboratory of Mechanical Transmissions & School of Automotive Engineering, Chongqing University, Chongqing 400044, China; [email protected] (Z.L.); [email protected] (D.C.); [email protected] (D.Q.); [email protected] (Q.X.) 2 Key Laboratory of Advanced Manufacture Technology for Autom...

An Adaptive Energy Management System for Electric Vehicles Based on Driving Cycle Identification and Wavelet Transform

Abstract: Since driving cycle greatly affects load power demand, driving cycle identification (DCI) is proposed to predict power demand that can be expected to prepare for the power distribution between battery and supercapacitor. The DCI is developed based on a learning vector quantization (LVQ) neural network method, which is assessed in both training and validation based on the statistical d...