Energy and flow effects of optimal automated driving in mixed traffic: Vehicle-in-the-loop experimental results
This paper experimentally demonstrates the effectiveness of an anticipative car-following
algorithm in reducing energy use of gasoline engine and electric Connected and Automated …
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 …
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
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 …
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 …
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
A myriad of connected vehicles collects large-scale telematics data throughout cities,
enabling data-based infrastructure planning. To truly benefit from this emerging technology …
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 …
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) …
of several hazards for interacting people. Sophisticated battery management systems (BMS) …
Time-Shifted Transformers for Driver Identification Using Vehicle Data
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 …
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
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 …
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 …
transportation, which enjoy both convenience of fuel refilling and cheap electrical energy …