Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario

Yi, Zonggen; Shirk, Matthew

doi:10.1016/j.trc.2017.10.014

Title: Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario

Abstract

This study introduces an optimal charging decision making framework for connected and automated electric vehicles under a personal usage scenario. This framework aims to provide charging strategies, i.e. the choice of charging station and the amount of charged energy, by considering constraints from personal daily itineraries and existing charging infrastructure. A data-driven method is introduced to establish a stochastic energy consumption prediction model with consideration of realistic uncertainties. This is performed by analyzing a large scale electric vehicle data set. A real-time updating method is designed to construct this prediction model from new consecutive data points in an adaptive way for real-world applications. Based on this energy cost prediction framework from real electric vehicle data, multistage optimal charging decision making models are introduced, including a deterministic model for average outcome decision making and a robust model for safest charging strategies. A dynamic programming algorithm is proposed to find the optimal charging strategies. Detailed simulations and case studies demonstrate the performance of the proposed algorithms to find optimal charging strategies. They also show the potential capability of connected and automated electric vehicles to reduce the range anxiety and charging infrastructure dependency.

Authors:

^[1];

^[1]

Idaho National Lab. (INL), Idaho Falls, ID (United States)

Publication Date:: Tue Nov 07 00:00:00 EST 2017

Research Org.:: Idaho National Laboratory (INL), Idaho Falls, ID (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

OSTI Identifier:: 1605366

Alternate Identifier(s):: OSTI ID: 1549018

Report Number(s):: INL-JOU-17-41999
Journal ID: ISSN 0968-090X; TRN: US2104422

Grant/Contract Number:: AC07-05ID14517

Resource Type:: Accepted Manuscript

Journal Name:: Transportation Research Part C: Emerging Technologies

Additional Journal Information:: Journal Volume: 86; Journal Issue: C; Journal ID: ISSN 0968-090X

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Charging Decision Making; Connected and Automated Electric Vehicles; Energy Consumption Prediction; Multistage Decision Making; Dynamic Programming

Citation Formats


                    Yi, Zonggen, and Shirk, Matthew. Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario.  United States: N. p., 2017. 
Web.  doi:10.1016/j.trc.2017.10.014.

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                    Yi, Zonggen, & Shirk, Matthew. Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario.  United States.  https://doi.org/10.1016/j.trc.2017.10.014

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                    Yi, Zonggen, and Shirk, Matthew. Tue .  
"Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario".  United States.  https://doi.org/10.1016/j.trc.2017.10.014.  https://www.osti.gov/servlets/purl/1605366.

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@article{osti_1605366,

  title        = {Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario},

  author       = {Yi, Zonggen and Shirk, Matthew},

  abstractNote = {This study introduces an optimal charging decision making framework for connected and automated electric vehicles under a personal usage scenario. This framework aims to provide charging strategies, i.e. the choice of charging station and the amount of charged energy, by considering constraints from personal daily itineraries and existing charging infrastructure. A data-driven method is introduced to establish a stochastic energy consumption prediction model with consideration of realistic uncertainties. This is performed by analyzing a large scale electric vehicle data set. A real-time updating method is designed to construct this prediction model from new consecutive data points in an adaptive way for real-world applications. Based on this energy cost prediction framework from real electric vehicle data, multistage optimal charging decision making models are introduced, including a deterministic model for average outcome decision making and a robust model for safest charging strategies. A dynamic programming algorithm is proposed to find the optimal charging strategies. Detailed simulations and case studies demonstrate the performance of the proposed algorithms to find optimal charging strategies. They also show the potential capability of connected and automated electric vehicles to reduce the range anxiety and charging infrastructure dependency.},

  doi          = {10.1016/j.trc.2017.10.014},

  journal      = {Transportation Research Part C: Emerging Technologies},

  number       = C,

  volume       = 86,

  place        = {United States},

  year         = {Tue Nov 07 00:00:00 EST 2017},

  month        = {Tue Nov 07 00:00:00 EST 2017}

}

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The electric boat charging problem
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Title: Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario

Abstract

Citation Formats

Response of electric vehicle drivers to dynamic pricing of parking and charging services: Risky choice in early reservations journal, July 2017

Note on a Method for Calculating Corrected Sums of Squares and Products journal, August 1962

A computationally efficient simulation model for estimating energy consumption of electric vehicles in the context of route planning applications journal, January 2017

Spatial and Temporal Model of Electric Vehicle Charging Demand journal, March 2012

The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios journal, March 2014

Battery Electric Vehicle Driving and Charging Behavior Observed Early in The EV Project journal, April 2012

Electric vehicles’ energy consumption estimation with real driving condition data journal, December 2015

Effects of environmental factors on electric vehicle energy consumption: a sensitivity analysis journal, February 2017

Modeling the charging and route choice behavior of BEV drivers journal, April 2016

Locating charging infrastructure for electric buses in Stockholm journal, May 2017

Optimal Location of Charging Stations for Electric Vehicles in a Neighborhood in Lisbon, Portugal journal, January 2011

Deploying public charging stations for electric vehicles on urban road networks journal, November 2015

Smart Charging for Electric Vehicles: A Survey From the Algorithmic Perspective journal, July 2016

Power-based electric vehicle energy consumption model: Model development and validation journal, April 2016

Emissions Impacts and Benefits of Plug-In Hybrid Electric Vehicles and Vehicle-to-Grid Services journal, February 2009

Flexible Charging Optimization for Electric Vehicles Considering Distribution Grid Constraints journal, March 2012

A multi-period optimization model for the deployment of public electric vehicle charging stations on network journal, April 2016

Towards an electricity-powered world journal, January 2011

Optimization models for placement of an energy-aware electric vehicle charging infrastructure journal, July 2016

Charging infrastructure planning for promoting battery electric vehicles: An activity-based approach using multiday travel data journal, January 2014

Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China journal, June 2016

A general corridor model for designing plug-in electric vehicle charging infrastructure to support intercity travel journal, July 2016

Optimizing the locations of electric taxi charging stations: A spatial–temporal demand coverage approach journal, April 2016

Deployment of stationary and dynamic charging infrastructure for electric vehicles along traffic corridors journal, April 2017

How driver behaviour and parking alignment affects inductive charging systems for electric vehicles journal, September 2015

Spatiotemporal Energy Demand Models for Electric Vehicles journal, March 2016

Optimal location of wireless charging facilities for electric vehicles: Flow-capturing location model with stochastic user equilibrium journal, September 2015

Coordinated Charging of Electric Vehicles for Congestion Prevention in the Distribution Grid journal, March 2014

Energy Consumption Prediction for Electric Vehicles Based on Real-World Data journal, August 2015

Sustainable transportation based on electric vehicle concepts: a brief overview journal, January 2010

Simulation of electric vehicle driver behaviour in road transport and electric power networks journal, July 2017

Making the Case for Electrified Transportation journal, June 2015

Optimal routing and charging of energy-limited vehicles in traffic networks: Optimal routing and charging of energy-limited vehicles in traffic networks journal, August 2015

Optimal location of battery electric vehicle charging stations in urban areas: A new approach journal, December 2014

Data-driven fuel consumption estimation: A multivariate adaptive regression spline approach journal, October 2017

Wireless charging in California: Range, recharge, and vehicle electrification journal, June 2016

Adaptive Multiresolution Energy Consumption Prediction for Electric Vehicles journal, November 2017

A data-driven optimization-based approach for siting and sizing of electric taxi charging stations journal, April 2017

Dynamic charging-while-driving systems for freight delivery services with electric vehicles: Traffic and energy modelling journal, August 2017

The electric boat charging problem journal, January 2019

IoT Applications and Services for Connected and Autonomous Electric Vehicles journal, November 2019

Response of electric vehicle drivers to dynamic pricing of parking and charging services: Risky choice in early reservations
journal, July 2017

Note on a Method for Calculating Corrected Sums of Squares and Products
journal, August 1962

A computationally efficient simulation model for estimating energy consumption of electric vehicles in the context of route planning applications
journal, January 2017

Spatial and Temporal Model of Electric Vehicle Charging Demand
journal, March 2012

The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios
journal, March 2014

Battery Electric Vehicle Driving and Charging Behavior Observed Early in The EV Project
journal, April 2012

Electric vehicles’ energy consumption estimation with real driving condition data
journal, December 2015

Effects of environmental factors on electric vehicle energy consumption: a sensitivity analysis
journal, February 2017

Modeling the charging and route choice behavior of BEV drivers
journal, April 2016

Locating charging infrastructure for electric buses in Stockholm
journal, May 2017

Optimal Location of Charging Stations for Electric Vehicles in a Neighborhood in Lisbon, Portugal
journal, January 2011

Deploying public charging stations for electric vehicles on urban road networks
journal, November 2015

Smart Charging for Electric Vehicles: A Survey From the Algorithmic Perspective
journal, July 2016

Power-based electric vehicle energy consumption model: Model development and validation
journal, April 2016

Emissions Impacts and Benefits of Plug-In Hybrid Electric Vehicles and Vehicle-to-Grid Services
journal, February 2009

Flexible Charging Optimization for Electric Vehicles Considering Distribution Grid Constraints
journal, March 2012

A multi-period optimization model for the deployment of public electric vehicle charging stations on network
journal, April 2016

Towards an electricity-powered world
journal, January 2011

Optimization models for placement of an energy-aware electric vehicle charging infrastructure
journal, July 2016

Charging infrastructure planning for promoting battery electric vehicles: An activity-based approach using multiday travel data
journal, January 2014

Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China
journal, June 2016

A general corridor model for designing plug-in electric vehicle charging infrastructure to support intercity travel
journal, July 2016

Optimizing the locations of electric taxi charging stations: A spatial–temporal demand coverage approach
journal, April 2016

Deployment of stationary and dynamic charging infrastructure for electric vehicles along traffic corridors
journal, April 2017

How driver behaviour and parking alignment affects inductive charging systems for electric vehicles
journal, September 2015

Spatiotemporal Energy Demand Models for Electric Vehicles
journal, March 2016

Optimal location of wireless charging facilities for electric vehicles: Flow-capturing location model with stochastic user equilibrium
journal, September 2015

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journal, March 2014

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journal, August 2015

Sustainable transportation based on electric vehicle concepts: a brief overview
journal, January 2010

Simulation of electric vehicle driver behaviour in road transport and electric power networks
journal, July 2017

Making the Case for Electrified Transportation
journal, June 2015

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journal, August 2015

Optimal location of battery electric vehicle charging stations in urban areas: A new approach
journal, December 2014

Data-driven fuel consumption estimation: A multivariate adaptive regression spline approach
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journal, June 2016

Adaptive Multiresolution Energy Consumption Prediction for Electric Vehicles
journal, November 2017

A data-driven optimization-based approach for siting and sizing of electric taxi charging stations
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Dynamic charging-while-driving systems for freight delivery services with electric vehicles: Traffic and energy modelling
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The electric boat charging problem
journal, January 2019

IoT Applications and Services for Connected and Autonomous Electric Vehicles
journal, November 2019