Review on multi‐power sources dynamic coordinated control of hybrid electric vehicle during driving mode transition process

Abstract

Summary Aiming at the problem of torque coordinated control between motor with high‐frequency response and engine with low‐frequency response of hybrid electric vehicle (HEV) during mode transition process, the mechanism of its coordinated control problem is deeply explored, and the essence of dynamic coordinated control strategy (DCCS) through torque coupling analysis is also revealed, namely, motor torque compensation control. Then a series of domestic and international researches on multi‐power sources coordinated control are systematically summarized from the establishment of electromechanical transmission (EMT) system model, mode switching process analysis, engine‐clutch‐motor coordinated control strategy based on torque estimation and speed feedback tracking, as well as the controller robustness analysis under system parameter perturbation and external disturbance. Finally, the key issues on the rapidity, adaptability, and experiment of torque coordination control which need to be solved in the subsequent researches are pointed out clearly.

A Comprehensive Analysis of Wireless Charging Systems for Electric Vehicles

“…The number of receiver coils is denoted by n. The equivalent coupling coefficient and mutual inductance are then determined by Eq. ( 8) and (9).…”

“…The direct consequence is the intrusion of chargers and power cables into our daily lives, which increasingly tends to limit the mobility offered by vehicles [4]- [6]. Much research effort has gone into solving these problems, and wireless power transfer (WPT) to EVs has become evident and feasible to solve this problem [7]- [9]. Many years ago, WPT systems using high intensity, timevarying electromagnetic fields were presented.…”

Sustainable Aviation Electrification: A Comprehensive Review of Electric Propulsion System Architectures, Energy Management, and Control

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“…As such, HEVs have gained the attention of major car manufacturers and are widely used in civil, industrial, and military fields. Over the years, engineers have conducted many studies on the energy management strategies that can be adopted by HEVs [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. In terms of the working principle, such strategies can be roughly divided into two types: rule-based and optimization-based.…”

“…The first is ensuring the predictive accuracy of the reference information, which is used to describe the future state of the controlled object; the second is ensuring that the optimization algorithm can be calculated within a limited time domain. In terms of the former, most previous studies adopted external navigation support such as GPS and intelligent transportation systems (ITSs) [14,15]. However, heavy-duty HEVs often work under atypical road settings in which the ground conditions cannot be collected and modeled in advance.…”