[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Pan et al., 2023 - Google Patents

Research on multi-lane energy-saving driving strategy of connected electric vehicle based on vehicle speed prediction

Pan et al., 2023

View HTML
Document ID
18142918162282303682
Author
Pan C
Li Y
Wang J
Liang J
Jinyama H
Publication year
Publication venue
Green Energy and Intelligent Transportation

External Links

Snippet

In order to enhance the energy-saving potential of electric vehicles, a lane change decision method based on vehicle-to-everything (V2X) is designed to further improve the economics of intelligent connected electric vehicles. Firstly, the traversal test of electric vehicles is …
Continue reading at www.sciencedirect.com (HTML) (other versions)

Classifications

    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/62—Hybrid vehicles
    • Y02T10/6286—Control systems for power distribution between ICE and other motor or motors
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage for electromobility
    • Y02T10/7005—Batteries
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/10—Internal combustion engine [ICE] based vehicles
    • Y02T10/50—Intelligent control systems, e.g. conjoint control
    • Y02T10/56—Optimising drivetrain operating point
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/80—Technologies aiming to reduce green house gasses emissions common to all road transportation technologies
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/72—Electric energy management in electromobility
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies related to electric vehicle charging
    • Y02T90/12—Electric charging stations
    • Y02T90/128—Energy exchange control or determination
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies related to electric vehicle charging
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles

Similar Documents

Publication Publication Date Title
Lei et al. An adaptive equivalent consumption minimization strategy for plug-in hybrid electric vehicles based on traffic information
Wang et al. Hybrid electric vehicle energy management with computer vision and deep reinforcement learning
Liu et al. Driving conditions-driven energy management strategies for hybrid electric vehicles: A review
Xu et al. Look-ahead prediction-based real-time optimal energy management for connected HEVs
Wang et al. Eco-driving control of connected and automated hybrid vehicles in mixed driving scenarios
Dong et al. Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges, and future trends
Zhang et al. Energy management strategies of connected HEVs and PHEVs: Recent progress and outlook
Zhang et al. Optimal control of power-split hybrid electric powertrains with minimization of energy consumption
Wei et al. Co-optimization method of speed planning and energy management for fuel cell vehicles through signalized intersections
Lü et al. Hybrid electric vehicles: A review of energy management strategies based on model predictive control
Lee et al. Energy efficient speed planning of electric vehicles for car-following scenario using model-based reinforcement learning
Zhang et al. Eco-driving control for connected and automated electric vehicles at signalized intersections with wireless charging
Yang et al. An efficient vehicle-following predictive energy management strategy for PHEV based on improved sequential quadratic programming algorithm
Qi et al. Integrated-connected eco-driving system for phevs with co-optimization of vehicle dynamics and powertrain operations
Luo et al. Green light optimal speed advisory for hybrid electric vehicles
Yan et al. Hierarchical predictive energy management of fuel cell buses with launch control integrating traffic information
Cheng et al. Longitudinal autonomous driving based on game theory for intelligent hybrid electric vehicles with connectivity
Chen et al. Co-optimization of velocity planning and energy management for autonomous plug-in hybrid electric vehicles in urban driving scenarios
Qi et al. Self-supervised reinforcement learning-based energy management for a hybrid electric vehicle
Zhang et al. Cooperative control strategy for plug-in hybrid electric vehicles based on a hierarchical framework with fast calculation
Mei et al. A deep reinforcement learning approach to energy management control with connected information for hybrid electric vehicles
Gan et al. Intelligent learning algorithm and intelligent transportation-based energy management strategies for hybrid electric vehicles: A review
Pan et al. Research on multi-lane energy-saving driving strategy of connected electric vehicle based on vehicle speed prediction
Peng et al. Ecological Driving Framework of Hybrid Electric Vehicle Based on Heterogeneous Multi-Agent Deep Reinforcement Learning
Chengqun et al. A novel regenerative braking energy recuperation system for electric vehicles based on driving style