Energy and flow effects of optimal automated driving in mixed traffic: Vehicle-in-the-loop experimental results

T Ard, L Guo, RA Dollar, A Fayazi, N Goulet… - … Research Part C …, 2021 - Elsevier
This paper experimentally demonstrates the effectiveness of an anticipative car-following
algorithm in reducing energy use of gasoline engine and electric Connected and Automated …

Drive mode optimization and path planning for plug-in hybrid electric vehicles

CK Chau, K Elbassioni… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Drive modes are driver-selectable pre-set configurations of powertrain and certain vehicle
parameters. Plug-in hybrid electric vehicles typically feature the special options of drive …

Integrated OBD-II and mobile application for electric vehicle (EV) monitoring system

K Khorsravinia, MK Hassan… - 2017 IEEE 2nd …, 2017 - ieeexplore.ieee.org
Electric Vehicles (EV) are becoming more popular, advanced and connected to the internet,
the users are being encouraged to use new technologies for tracking, monitoring and …

Investigating the effects of attack detection for in-vehicle networks based on clock drift of ECUs

H Ji, Y Wang, H Qin, X Wu, G Yu - IEEE Access, 2018 - ieeexplore.ieee.org
As external interfaces of vehicles multiply, information security of an automobile network
system has become increasingly troubling. Mounting attacks have raised the attention of …

OBD-data-assisted cost-based map-matching algorithm for low-sampled telematics data in urban environments

P Alrassy, J Jang, AW Smyth - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
A myriad of connected vehicles collects large-scale telematics data throughout cities,
enabling data-based infrastructure planning. To truly benefit from this emerging technology …

Personalized prediction of vehicle energy consumption based on participatory sensing

CM Tseng, CK Chau - IEEE Transactions on Intelligent …, 2017 - ieeexplore.ieee.org
The advent of abundant on-board sensors and electronic devices in vehicles populates the
paradigm of participatory sensing to harness crowd-sourced data gathering for intelligent …

Possibilities for a quick onsite safety-state assessment of stand-alone lithium-ion batteries

D Koch, HG Schweiger - Batteries, 2022 - mdpi.com
Electric vehicles' high-voltage lithium-ion batteries are complex systems and can be sources
of several hazards for interacting people. Sophisticated battery management systems (BMS) …

Time-Shifted Transformers for Driver Identification Using Vehicle Data

W Govers, A Yurtman, T Aslandere… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
A modern vehicle contains a large number of electronic control units and sensors that are
connected to cloud environments. These electronic units generate a huge amount of data …

Issues in implementing a data integration platform for electric vehicles using the internet of things

M Smuts, B Scholtz, J Wesson - … of Things. Information Processing in an …, 2019 - Springer
The emergence of the Internet of Things (IoT) has brought new improvement and
development opportunities to the automotive industry, such as electric vehicles (EVs). EVs …

Fuel minimization of plug-in hybrid electric vehicles by optimizing drive mode selection

CK Chau, K Elbassioni, CM Tseng - Proceedings of the Seventh …, 2016 - dl.acm.org
Plug-in hybrid electric vehicles (PHEVs) are a viable energy-efficient means of
transportation, which enjoy both convenience of fuel refilling and cheap electrical energy …