Nothing Special   »   [go: up one dir, main page]

Maia et al., 2015 - Google Patents

Electrical vehicle modeling: A fuzzy logic model for regenerative braking

Maia et al., 2015

View PDF
Document ID
14635353037984640184
Author
Maia R
Silva M
Araújo R
Nunes U
Publication year
Publication venue
Expert systems with applications

External Links

Snippet

This paper presents a fuzzy logic model of regenerative braking (FLmRB) for modeling EVs' regenerative braking systems (RBSs). The model has the vehicle's acceleration and jerk, and the road inclination as input variables, and the output of the FLmRB is the regeneration …
Continue reading at citeseerx.ist.psu.edu (PDF) (other versions)

Classifications

    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage for electromobility
    • Y02T10/7038Energy storage management
    • Y02T10/7044Controlling the battery or capacitor state of charge
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage for electromobility
    • Y02T10/7005Batteries
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/62Hybrid vehicles
    • Y02T10/6286Control systems for power distribution between ICE and other motor or motors
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/72Electric energy management in electromobility
    • Y02T10/7258Optimisation of vehicle performance
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/80Technologies aiming to reduce green house gasses emissions common to all road transportation technologies
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL
    • B60L11/00Electric propulsion with power supplied within the vehicle
    • B60L11/18Electric propulsion with power supplied within the vehicle using power supply from primary cells, secondary cells, or fuel cells
    • B60L11/1851Battery monitoring or controlling; Arrangements of batteries, structures or switching circuits therefore
    • B60L11/1861Monitoring or controlling state of charge [SOC]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies related to electric vehicle charging
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/40Drive Train control parameters
    • B60L2240/54Drive Train control parameters related to batteries

Similar Documents

Publication Publication Date Title
Maia et al. Electrical vehicle modeling: A fuzzy logic model for regenerative braking
Miri et al. Electric vehicle energy consumption modelling and estimation—A case study
Li et al. Fuel consumption optimization for smart hybrid electric vehicle during a car-following process
Xu et al. Torque optimization control for electric vehicles with four in-wheel motors equipped with regenerative braking system
Yang et al. Adaptive real-time optimal energy management strategy for extender range electric vehicle
Zhang et al. A real-time energy management and speed controller for an electric vehicle powered by a hybrid energy storage system
Li et al. Model predictive control-based efficient energy recovery control strategy for regenerative braking system of hybrid electric bus
US20200070679A1 (en) Electric-drive motor vehicles, systems, and control logic for predictive charge planning and powertrain control
Park et al. Development of equivalent fuel consumption minimization strategy for hybrid electric vehicles
Schwickart et al. Design and simulation of a real-time implementable energy-efficient model-predictive cruise controller for electric vehicles
van Keulen et al. Design, implementation, and experimental validation of optimal power split control for hybrid electric trucks
Kivekäs et al. Reducing the energy consumption of electric buses with design choices and predictive driving
Hwang et al. Design of a range extension strategy for power decentralized fuel cell/battery electric vehicles
CN113635879B (en) Vehicle braking force distribution method
CN115158094A (en) Plug-in hybrid electric vehicle energy management method based on long-short-term SOC (System on chip) planning
Shi et al. Multi-objective tradeoff optimization of predictive adaptive cruising control for autonomous electric buses: A cyber-physical-energy system approach
CN112389208A (en) Energy recovery method, system, terminal, medium and vehicle for automatic driving vehicle
Ye et al. An imitation learning-based energy management strategy for electric vehicles considering battery aging
Chau et al. Fuel minimization of plug-in hybrid electric vehicles by optimizing drive mode selection
Yu et al. Model predictive control of hybrid electric vehicles for improved fuel economy
Kubaisi Adaptive Regenerative Braking in Electric Vehicles
Ziadia et al. An adaptive regenerative braking strategy design based on naturalistic regeneration performance for intelligent vehicles
JP7424186B2 (en) Vehicle computing device, program
Gorelov et al. Simulation-based identification of the parameters of a minibus hybrid powertrain
Ruan et al. A modularized electric vehicle model-in-the-loop simulation for transportation electrification modeling and analysis