Modeling, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions
A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
Ecological adaptive cruise control and energy management strategy for hybrid electric vehicles based on heuristic dynamic programming
G Li, D Görges - IEEE Transactions on Intelligent Transportation …, 2018 - ieeexplore.ieee.org
In this paper, an ecological adaptive cruise controller (ECO-ACC) for parallel hybrid electric
vehicles (HEVs) in a car-following scenario is presented to improve the fuel economy and to …
vehicles (HEVs) in a car-following scenario is presented to improve the fuel economy and to …
Equivalent Consumption Minimization Strategy for the Control of Real Driving NOx Emissions of a Diesel Hybrid Electric Vehicle
T Nüesch, A Cerofolini, G Mancini, N Cavina, C Onder… - Energies, 2014 - mdpi.com
Motivated by the fact that the real driving NO x emissions (RDE) of conventional diesel
vehicles can exceed the legislation norms by far, a concept for the control of RDE with a …
vehicles can exceed the legislation norms by far, a concept for the control of RDE with a …
A Review of Reinforcement Learning-Based Powertrain Controllers: Effects of Agent Selection for Mixed-Continuity Control and Reward Formulation
One major cost of improving the automotive fuel economy while simultaneously reducing
tailpipe emissions is increased powertrain complexity. This complexity has consequently …
tailpipe emissions is increased powertrain complexity. This complexity has consequently …
Hybrid thermostat strategy for enhancing fuel economy of series hybrid intracity bus
M Kim, D Jung, K Min - IEEE Transactions on Vehicular …, 2014 - ieeexplore.ieee.org
The recently developed power distribution strategies in hybrid electric vehicles (HEVs) are
often hard to apply, or the mathematical backgrounds are burdened by very complicated …
often hard to apply, or the mathematical backgrounds are burdened by very complicated …
Safe deep reinforcement learning in diesel engine emission control
A deep reinforcement learning application is investigated to control the emissions of a
compression ignition diesel engine. The main purpose of this study is to reduce the engine …
compression ignition diesel engine. The main purpose of this study is to reduce the engine …
Optimal energy management for a diesel hybrid electric vehicle considering transient PM and quasi-static NOx emissions
T Nüesch, M Wang, P Isenegger, CH Onder… - Control Engineering …, 2014 - Elsevier
In this paper, optimal energy management strategies are derived to balance fuel
consumption, raw particulate matter (PM) emissions, and raw nitrogen oxide (NOx) …
consumption, raw particulate matter (PM) emissions, and raw nitrogen oxide (NOx) …
Optimal energy management of a series hybrid vehicle with combined fuel economy and low-emission objectives
R Johri, Z Filipi - Proceedings of the Institution of Mechanical …, 2014 - journals.sagepub.com
A series hybrid powertrain provides ultimate freedom in controlling the engine. The flexibility
enabled with hybridization creates chances for a synergistic approach, in which the hybrid …
enabled with hybridization creates chances for a synergistic approach, in which the hybrid …
Ecological adaptive cruise control of plug-in hybrid electric vehicle with connected infrastructure and on-road experiments
This paper examines both mathematical formulation and practical implementation of an
ecological adaptive cruise controller (ECO-ACC) with connected infrastructure. Human …
ecological adaptive cruise controller (ECO-ACC) with connected infrastructure. Human …
Energy optimization and fuel economy investigation of a series hybrid electric vehicle integrated with diesel/RCCI engines
A Solouk, M Shahbakhti - Energies, 2016 - mdpi.com
Among different types of low temperature combustion (LTC) regimes, eactively controlled
compression ignition (RCCI) has received a lot of attention as a promising advanced …
compression ignition (RCCI) has received a lot of attention as a promising advanced …