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SAE International Journal of Passenger Cars Electronic and Electrical Systems
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Experimental Demonstration of Smart Charging and Vehicle-to-Home Technologies for Plugin Electric Vehicles Coordinated with Home Energy Management Systems for Automated Demand Response

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

Toyota Info Technology Center USA-Takayuki Shimizu
Toyota Motor Corporation-Tomoya Ono, Kunihiko Kumita
  • Journal Article
  • 2016-01-0160
Published 2016-04-05 by SAE International in United States
In this paper, we consider smart charging and vehicle-to-home (V2H) technologies for plugin electric vehicles coordinated with home energy management systems (HEMS) for automated demand response. In this system, plugin electric vehicles automatically react to demand response events with or without HEMS’s coordination, while vehicles are charged and discharged (i.e., V2H) in appropriate time slots by taking into account demand response events, time-ofuse rate information, and users’ vehicle usage plan. We introduce three approaches on home energy management: centralized energy control, distributed energy control, and coordinated energy control. We implemented smart charging and V2H systems by employing two sets of standardized communication protocols: one using OpenADR 2.0b, SEP 2.0, and SAE standards and the other using OpenADR 2.0b, ECHONET Lite, and ISO/IEC 15118. We show that the both communication protocol sets enable the same energy management by adding some properties and class into ECHONET Lite that are equivalent to existing function sets in SEP 2.0 such as demand response, pricing, energy flow reservation. We evaluated developed systems in a demonstration platform, called the Energy Management…
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Cooperative Least Square Parameter Identification by Consensus within the Network of Autonomous Vehicles

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

University of Waterloo-Mehdi Jalalmaab, Mohammad Pirani, Baris Fidan, Soo Jeon
  • Journal Article
  • 2016-01-0149
Published 2016-04-05 by SAE International in United States
In this paper, a consensus framework for cooperative parameter estimation within the vehicular network is presented. It is assumed that each vehicle is equipped with a dedicated short range communication (DSRC) device and connected to other vehicles. The improvement achieved by the consensus for parameter estimation in presence of sensor’s noise is studied, and the effects of network nodes and edges on the consensus performance is discussed. Finally, the simulation results of the introduced cooperative estimation algorithm for estimation of the unknown parameter of road condition is presented. It is shown that due to the faster dynamic of network communication, single agents’ estimation converges to the least square approximation of the unknown parameter properly.
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Grid-Tied Single-Phase Bi-Directional PEV Charging/Discharging Control

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

Michigan Technological Univ-Luting Wang, Chong Cao, Bo Chen
  • Journal Article
  • 2016-01-0159
Published 2016-04-05 by SAE International in United States
This paper studies the bi-directional power flow control between Plug-in Electric Vehicles (PEVs) and an electrical grid. A grid-tied charging system that enables both Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) charging/discharging is modeled using SimPowerSystems in Matlab/Simulink environment. A bi-directional AC-DC converter and a bi-directional DC-DC buck-boost converter are integrated to charge and discharge PEV batteries. For AC-DC converter control, Predictive Current Control (PCC) strategy is employed to enable grid current to reach a reference current after one modulation period. In addition, Phase Lock Loop (PLL) and a band-stop filter are designed to lock the grid voltage phase and reduce harmonics. Bi-directional power flow is realized by controlling the mode of the DC-DC converter. Simulation tests are conducted to evaluate the performance of this bi-directional charging system. The simulation results show that the integrated PCC, PLL, and band-stop filter can achieve fast dynamic response, low Total Harmonics Distortion (THD) of grid voltage and current, and unity power factor.
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Cruise Controller with Fuel Optimization Based on Adaptive Nonlinear Predictive Control

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

Ford Motor Company-Anthony D'Amato, Engin Ozatay, John Michelini, Steven Szwabowski, Dimitar Filev
Honeywell Automotive Software-Ondrej Santin, Jaroslav Pekar, Jaroslav Beran
  • Journal Article
  • 2016-01-0155
Published 2016-04-05 by SAE International in United States
Automotive cruise control systems are used to automatically maintain the speed of a vehicle at a desired speed set-point. It has been shown that fuel economy while in cruise control can be improved using advanced control methods. The objective of this paper is to validate an Adaptive Nonlinear Model Predictive Controller (ANLMPC) implemented in a vehicle equiped with standard production Powertrain Control Module (PCM). Application and analysis of Model Predictive Control utilizing road grade preview information has been reported by many authors, namely for commercial vehicles. The authors reported simulations and application of linear and nonlinear MPC based on models with fixed parameters, which may lead to inaccurate results in the real world driving conditions. The significant noise factors are namely vehicle mass, actual weather conditions, fuel type, etc. In the ANLMPC approach, the vehicle and fuel model parameters are adapted automatically, so accuracy of the prediction is ensured. The adaptation is implemented by a Recursive Least Square (RLS) algorithm and the numerical robustness is improved by adopting Bierman’s implementation with exponential/directional forgetting, and with…
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