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

Zhang et al., 2019 - Google Patents

Energy management strategies of connected HEVs and PHEVs: Recent progress and outlook

Zhang et al., 2019

View HTML
Document ID
3816050238694853341
Author
Zhang F
Hu X
Langari R
Cao D
Publication year
Publication venue
Progress in Energy and Combustion Science

External Links

Snippet

The rapid development of intelligent transportation system (ITS) offers great opportunities to improve the overall performance of energy management strategies (EMSs) for connected hybrid electric vehicles (HEVs) and plug-in HEVs (PHEVs). This paper systematically …
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
    • Y02T10/7038—Energy storage management
    • Y02T10/7044—Controlling the battery or capacitor state of charge
    • 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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2550/00—Input parameters relating to exterior conditions
    • B60W2550/40—Involving external transmission of data to or from the vehicle
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—ELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL
    • B60L11/00—Electric propulsion with power supplied within the vehicle
    • B60L11/18—Electric propulsion with power supplied within the vehicle using power supply from primary cells, secondary cells, or fuel cells
    • B60L11/1851—Battery monitoring or controlling; Arrangements of batteries, structures or switching circuits therefore
    • B60L11/1861—Monitoring or controlling state of charge [SOC]
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W2050/0001—Details of the control system
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2510/00—Input parameters relating to a particular sub-units
    • B60W2510/24—Energy storage means
    • B60W2510/242—Energy storage means for electrical energy

Similar Documents

Publication Publication Date Title
Zhang et al. Energy management strategies of connected HEVs and PHEVs: Recent progress and outlook
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
Guanetti et al. Control of connected and automated vehicles: State of the art and future challenges
Martinez et al. Energy management in plug-in hybrid electric vehicles: Recent progress and a connected vehicles perspective
Manzie et al. Fuel economy improvements for urban driving: Hybrid vs. intelligent vehicles
Ma et al. Cooperative adaptive cruise control strategy optimization for electric vehicles based on SA-PSO with model predictive control
Kim et al. Compact cooperative adaptive cruise control for energy saving: Air drag modelling and simulation
Zhu et al. A GPU implementation of a look-ahead optimal controller for eco-driving based on dynamic programming
Li et al. Review on eco-driving control for connected and automated vehicles
Li et al. Deep reinforcement learning-based eco-driving control for connected electric vehicles at signalized intersections considering traffic uncertainties
Plianos et al. Predictive energy optimization for connected and automated HEVs
Noroozi et al. An AI-assisted systematic literature review of the impact of vehicle automation on energy consumption
Oncken et al. A connected controls and optimization system for vehicle dynamics and powertrain operation on a light-duty plug-in multi-mode hybrid electric vehicle
Li et al. Traffic-aware ecological cruising control for connected electric vehicle
Xu et al. Real-time energy optimization of HEVs under-connected environment: a benchmark problem and receding horizon-based solution
Wu et al. A deep reinforcement learning based hierarchical eco-driving strategy for connected and automated HEVs
Aoki et al. Multicruise: eco-lane selection strategy with eco-cruise control for connected and automated vehicles
Peng et al. Hierarchical Optimization of Speed Planning and Energy Management for Connected Hybrid Electric Vehicles Under Multi-Lane and Signal Lights Aware Scenarios
Zhao et al. Energy management strategy of series–parallel hybrid transmission integrating map information and personalized driving characteristics
Pan et al. Research on multi-lane energy-saving driving strategy of connected electric vehicle based on vehicle speed prediction
You et al. Real-time energy management strategy based on predictive cruise control for hybrid electric vehicles
Shi et al. Learning eco-driving strategies from human driving trajectories
Gong et al. A Benchmark Study for Real-Time Optimal Control of Connected HEVs: Design, Integration and Evaluation
Hu et al. Research on vehicle speed prediction model based on traffic flow information fusion
Qi Next generation intelligent driver-vehicle-infrastructure cooperative system for energy efficient driving in connected vehicle environment