Driving conditions-driven energy management strategies for hybrid electric vehicles: A review
Motivated by the concerns on transported fuel consumption and global air pollution,
industrial engineers and academic researchers have made many efforts to construct more …
industrial engineers and academic researchers have made many efforts to construct more …
Parallel reinforcement learning-based energy efficiency improvement for a cyber-physical system
As a complex and critical cyber-physical system (CPS), the hybrid electric powertrain is
significant to mitigate air pollution and improve fuel economy. Energy management strategy …
significant to mitigate air pollution and improve fuel economy. Energy management strategy …
Ship energy management system development and experimental evaluation utilizing marine loading cycles based on machine learning techniques
N Planakis, G Papalambrou, N Kyrtatos - Applied Energy, 2022 - Elsevier
In order to develop energy management systems for hybrid ship propulsion plants that are
truly optimal and robust, it is important that the test conditions in experimental facilities are as …
truly optimal and robust, it is important that the test conditions in experimental facilities are as …
Real-world emissions and fuel consumption of gasoline and hybrid light duty vehicles under local and regulatory drive cycles
In this study, driving trajectory data from private vehicles were collected in Toronto, Canada
to construct representative local drive cycles. In addition, real-driving emission testing for …
to construct representative local drive cycles. In addition, real-driving emission testing for …
Data-driven identification of characteristic real-driving cycles based on k-means clustering and mixed-integer optimization
D Förster, RB Inderka, F Gauterin - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Virtual powertrain analysis is widely applied in the automotive industry to cope with the
increasing complexity and variance of future vehicle propulsion technologies. Since the …
increasing complexity and variance of future vehicle propulsion technologies. Since the …
Energy consumption characteristics based driving conditions construction and prediction for hybrid electric buses energy management
The energy consumption characteristics of driving condition is very important for hybrid
electric buses energy management. In this paper, an energy consumption characteristics …
electric buses energy management. In this paper, an energy consumption characteristics …
Optimization-based method to develop practical driving cycle for application in electric vehicle power management: A case study in Shenyang, China
Z Chen, Q Zhang, J Lu, J Bi - Energy, 2019 - Elsevier
In this study, a novel method for the construction of a driving cycle based on a two-layer
optimization process is proposed with a case study in Shenyang, China. First, the statistical …
optimization process is proposed with a case study in Shenyang, China. First, the statistical …
Construction of high-precision driving cycle based on Metropolis-Hastings sampling and genetic algorithm
DP Yang, T Liu, XM Zhang, XH Zeng… - … research part D: transport …, 2023 - Elsevier
Due to the increasing complexity of the current traffic environment, the existing construction
methods of working conditions have large errors and poor representativeness. Therefore, it …
methods of working conditions have large errors and poor representativeness. Therefore, it …
Driving cycle equivalence and transformation
There is a strong trend to use driving cycles extensively in vehicle design, particularly for the
calibration and tuning of all powertrain systems for control and diagnosis. In such situations …
calibration and tuning of all powertrain systems for control and diagnosis. In such situations …
A statistical operating cycle description for prediction of road vehicles' energy consumption
P Pettersson, P Johannesson, B Jacobson… - … Research Part D …, 2019 - Elsevier
We propose a novel statistical description of the physical properties of road transport
operations by using stochastic models arranged in a hierarchical structure. The description …
operations by using stochastic models arranged in a hierarchical structure. The description …