Energy Efficiency of Connected Autonomous Vehicles: A Review

被引：16
作者：
Faghihian, Hamed [1 ]
Sargolzaei, Arman [1 ]
机构：
[1] Univ S Florida, Dept Mech Engn, Tampa, FL 33620 USA
来源：
ELECTRONICS | 2023年 / 12卷 / 19期
基金：
美国国家科学基金会;
关键词：
energy efficiency; electric vehicles; range increase; connected autonomous vehicles; ADAPTIVE CRUISE CONTROL; MODEL-PREDICTIVE CONTROL; REGENERATIVE BRAKING; AUTOMATED VEHICLES; ELECTRIC VEHICLES; CONTROL STRATEGIES; TRAFFIC FLOW; FUEL-ECONOMY; INTERSECTIONS; OPTIMIZATION;
D O I：
10.3390/electronics12194086
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Connected autonomous vehicles (CAVs) have emerged as a promising solution for enhancing transportation efficiency. However, the increased adoption of CAVs is expected to lead to a rise in transportation demand and, subsequently, higher energy consumption. In this context, electric CAVs (E-CAVs) present a significant opportunity to shape the future of efficient transportation systems. While conventional CAVs possess the potential to reduce fuel consumption, E-CAVs offer similar prospects but through distinct approaches. Notably, the control of acceleration and regenerative brakes in E-CAVs stands out as an area of immense potential for increasing efficiency, leveraging various control methods in conjunction with the cooperative and perception capabilities inherent in CAVs. To bridge this knowledge gap, this paper conducts a comprehensive survey of energy efficiency methods employed in conventional CAVs while also exploring energy efficiency strategies specifically tailored for E-CAVs.
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页数：22
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