2021
DOI: 10.1109/access.2021.3050409
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The Eco-Driving Considering Coordinated Control Strategy for the Intelligent Electric Vehicles

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Cited by 8 publications
(4 citation statements)
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“…In smart agricultural and autonomous robotic systems, applications of adaptive control can be found in irrigation and moisture distribution [95] and military surveillance and intervention [96] respectively. Similarly, adaptive control is used in green buildings for heating, ventilation, and air-conditioning (HVAC) and lighting control based on occupancy [97], in smart grids for price-signal enabled demand response [98], in transportation for coordinated control of electric vehicles [99], and in manufacturing for laser welding and additive manufacturing [100].…”
Section: ) Adaptive Controlmentioning
confidence: 99%
“…In smart agricultural and autonomous robotic systems, applications of adaptive control can be found in irrigation and moisture distribution [95] and military surveillance and intervention [96] respectively. Similarly, adaptive control is used in green buildings for heating, ventilation, and air-conditioning (HVAC) and lighting control based on occupancy [97], in smart grids for price-signal enabled demand response [98], in transportation for coordinated control of electric vehicles [99], and in manufacturing for laser welding and additive manufacturing [100].…”
Section: ) Adaptive Controlmentioning
confidence: 99%
“…The left rear wheel or right rear wheel is driven by a separate "wheel side motor-reducer" system.) Figure 2 gives a structural diagram of a four-motor four-wheel distributed independent drive system [22,32]. (Approximate to the dual motor dual-wheel distributed drive system, four wheels of the vehicle are driven by four separate "wheel motor-reducer" systems.)…”
Section: Characteristic Analysis Of the Distributed Independent Drive...mentioning
confidence: 99%
“…As a branch of MPC, NMPC can achieve predictive control based on the nonlinear model and perform closed-loop optimization. The nonlinear model can provide a more accurate description of the nonlinear process, solving the problem of insufficient accuracy of the linear model [27,28].…”
Section: Overview Of Nmpcmentioning
confidence: 99%