Critical review on structural architecture, energy control strategies and development process towards optimal energy management in hybrid vehicles

能源管理 建筑 控制(管理) 过程(计算) 工程类 计算机科学 能量(信号处理) 过程管理 人工智能 数学 地理 统计 操作系统 考古
作者
Pemmareddy Saiteja,B. Ashok
出处
期刊:Renewable & Sustainable Energy Reviews [Elsevier]
卷期号:157: 112038-112038 被引量:84
标识
DOI:10.1016/j.rser.2021.112038
摘要

Hybrid Electric Vehicles (HEVs) are facing difficulties in the aspect of splitting the demand power between various drivetrain components. To negate this issue an efficient energy management system (EMS) is required, EMS is used to split the demand power between drivetrain components. However, it is a difficult task because of the computation complexity and various functionalities associated with the vehicle. In this context to develop an efficient EMS, the various structural architectures, and energy optimization strategies are considered to review in this work. This work presents an overview of key control modules in the EMS such as torque control module, driving mode control, power-split control, and output power sources. Also describes various aspects of energy optimization strategies such as fuzzy, dynamic program, model predictive, neural network, intelligent and connected vehicle technologies to enhance the performance and emissions of the vehicle. These strategies are employed to optimize the fuel economy and energy consumption without compromising the performance of the vehicle. Further, this article provides knowledge on real-time development process of EMS and its calibration parameters such as SOC, vehicle speed, power-split, etc, which are used to enhance the vehicle output characteristics. This research explores a holistic approach to developing the control architecture of EMS with various control strategies. Also, challenges and difficulties on EMS advancements are adequately highlighted, along with a short idea and discussion for the development of future EMS research. Finally, an interpretative study on real-time EMS for HEV with various control strategies disclosed its significance and possible outcomes. • A holistic overview of the EMS control architecture with various control modules is reviewed. • Various energy optimization strategies such as Fuzzy, MPC, ECMS, DP, NN and ICVT are critically evaluated. • A discussion towards EMS calibration process and significant parameters are interpreted. • Examination of real-time design and development process of EMS for HEV is investigated. • Recent issues and obstacles on various EMS, advancement of future HEV research are highlighted.
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