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View article: Techno-Economic Analysis of Hydrogen Hybrid Vehicles
Techno-Economic Analysis of Hydrogen Hybrid Vehicles Open
Driven by carbon neutrality and peak carbon policies, hydrogen energy, due to its zero-emission and renewable properties, is increasingly being used in hydrogen fuel cell vehicles (H-FCVs). However, the high cost and limited durability of …
View article: Efficient Hybrid Deep Learning Model for Battery State of Health Estimation Using Transfer Learning
Efficient Hybrid Deep Learning Model for Battery State of Health Estimation Using Transfer Learning Open
Achieving accurate battery state of health (SOH) estimation is crucial, but existing methods still face many challenges in terms of data quality, computational efficiency, and cross-scenario generalization capabilities. This study proposes…
View article: Battery state of health estimation under fast charging via deep transfer learning
Battery state of health estimation under fast charging via deep transfer learning Open
View article: Comparative Study and Optimization of Energy Management Strategies for Hydrogen Fuel Cell Vehicles
Comparative Study and Optimization of Energy Management Strategies for Hydrogen Fuel Cell Vehicles Open
Fuel cell hybrid systems, due to their combination of the high energy density of fuel cells and the rapid response capability of power batteries, have become an important category of new energy vehicles. This paper discusses energy managem…
View article: Optimized Longitudinal and Lateral Control Strategy of Intelligent Vehicles Based on Adaptive Sliding Mode Control
Optimized Longitudinal and Lateral Control Strategy of Intelligent Vehicles Based on Adaptive Sliding Mode Control Open
To improve the tracking accuracy and robustness of the path-tracking control model for intelligent vehicles under longitudinal and lateral coupling constraints, this paper utilizes the Kalman filter algorithm to design a longitudinal and l…
View article: Research on a Path Tracking Control Strategy for Autonomous Vehicles Based on State Parameter Identification
Research on a Path Tracking Control Strategy for Autonomous Vehicles Based on State Parameter Identification Open
With the rapid development of autonomous driving technology, estimating and controlling key vehicle state parameters under complex road conditions have become critical challenges. This study combines Unscented Kalman Filtering (UKF) and Sl…
View article: Research on Optimization of Intelligent Driving Vehicle Path Tracking Control Strategy Based on Backpropagation Neural Network
Research on Optimization of Intelligent Driving Vehicle Path Tracking Control Strategy Based on Backpropagation Neural Network Open
To enhance path tracking precision in intelligent vehicles, this study proposes a lateral–longitudinal control strategy optimized with a Backpropagation (BP) neural network. The strategy employs the BP neural network to dynamically adjust …
View article: Efficiency Analysis of Electric Vehicles with AMT and Dual-Motor Systems
Efficiency Analysis of Electric Vehicles with AMT and Dual-Motor Systems Open
With the rapid development of automobiles, energy shortages and environmental pollution have become a growing concern. In order to decrease the energy consumption of electric vehicles (EVs), this study aims to improve EV efficiency with AM…
View article: Research on an Improved Rule-Based Energy Management Strategy Enlightened by the DP Optimization Results
Research on an Improved Rule-Based Energy Management Strategy Enlightened by the DP Optimization Results Open
Plug-in hybrid electric vehicles (PHEVs) have gradually become an important member of new energy vehicles because of the advantages of both electric and hybrid electric vehicles. A fast and effective energy management strategy can signific…
View article: Spatial-Temporal Self-Attention Transformer Networks for Battery State of Charge Estimation
Spatial-Temporal Self-Attention Transformer Networks for Battery State of Charge Estimation Open
Over the past ten years, breakthroughs in battery technology have dramatically propelled the evolution of electric vehicle (EV) technologies. For EV applications, accurately estimating the state-of-charge (SOC) is critical for ensuring saf…
View article: Cloud-Based Artificial Intelligence Framework for Battery Management System
Cloud-Based Artificial Intelligence Framework for Battery Management System Open
As the popularity of electric vehicles (EVs) and smart grids continues to rise, so does the demand for batteries. Within the landscape of battery-powered energy storage systems, the battery management system (BMS) is crucial. It provides k…
View article: Cloud-Based Deep Learning for Co-Estimation of Battery State of Charge and State of Health
Cloud-Based Deep Learning for Co-Estimation of Battery State of Charge and State of Health Open
Rechargeable lithium-ion batteries are currently the most viable option for energy storage systems in electric vehicle (EV) applications due to their high specific energy, falling costs, and acceptable cycle life. However, accurately predi…
View article: Adaptive Energy Management Strategy Based on Intelligent Prediction of Driving Cycle for Plug−In Hybrid Electric Vehicle
Adaptive Energy Management Strategy Based on Intelligent Prediction of Driving Cycle for Plug−In Hybrid Electric Vehicle Open
Under the dual−carbon goal, the research on energy conservation and emission reduction of new energy vehicles has once again become a current hotspot, and plug−in hybrid electric vehicles (PHEVs) are the first to bear the brunt. In order t…
View article: Adaptive energy management strategy for plug-in hybrid electric vehicles based on intelligent recognition of driving cycle
Adaptive energy management strategy for plug-in hybrid electric vehicles based on intelligent recognition of driving cycle Open
In order to enhance the adaptability of energy management strategy (EMS) to complex and changeable driving cycles, this paper proposed an adaptive energy management strategy (A-EMS) based on intelligent recognition of driving cycle (IRDC) …
View article: Optimal Control Strategy of Path Tracking and Braking Energy Recovery for New Energy Vehicles
Optimal Control Strategy of Path Tracking and Braking Energy Recovery for New Energy Vehicles Open
In order to further improve the stability of path tracking control and fuel economy of new energy vehicles, an optimal control strategy of path tracking and braking energy recovery is proposed. First, a model predictive controller is desig…
View article: Adaptive energy control strategy of PHEV based on the Pontryagin’s minimum principle algorithm
Adaptive energy control strategy of PHEV based on the Pontryagin’s minimum principle algorithm Open
The optimization of energy control strategy is one of the key technologies of plug-in hybrid vehicles (PHEVs) to improve the capabilities of energy saving and emission reduction. In order to improve fuel economy of PHEV, adaptive equivalen…
View article: Research on visibility detection model optimization based on dark channel prior and image entropy and visibility development trend prediction
Research on visibility detection model optimization based on dark channel prior and image entropy and visibility development trend prediction Open
In this paper, a visibility detection model based on the dark channel prior and image entropy is established to improve the lane line detection algorithm. Our algorithm does not need to preset the target, nor is it affected by the camera c…
View article: Forecast of the trend of heavy fog based on the VARIMAX model
Forecast of the trend of heavy fog based on the VARIMAX model Open
This paper works out relationship between visibility and near-surface meteorological factors. The formation of heavy fog is affected by meteorological factors near the ground and fog in the past period. In this paper, we abstract and simpl…
View article: Optimization of control parameters for hybrid electric bus based on genetic algorithm
Optimization of control parameters for hybrid electric bus based on genetic algorithm Open
Under the urban public transport conditions, engine operating points are lesser in the economic area. Motor operating points are scattered and its working efficiency is low. Besides, the battery state-of-charge value cannot be maintained a…
View article: Research on adaptive cruise control strategy of pure electric vehicle with braking energy recovery
Research on adaptive cruise control strategy of pure electric vehicle with braking energy recovery Open
In this article, an adaptive cruise control algorithm with braking energy recovery is proposed. First, the influence of the working characteristics of motor and battery on the energy recovery is analyzed in the braking energy recovery syst…
View article: RETRACTED: Energy control strategy of plug-in hybrid electric vehicle based on pattern recognition
RETRACTED: Energy control strategy of plug-in hybrid electric vehicle based on pattern recognition Open
The article researches on the energy control strategy of the series-parallel plug-in hybrid electric vehicle based on pattern recognition. First, after the dynamic analysis and energy flow directions of the planetary gears, according to th…
View article: Energy Control Strategy of HEB Based on the Instantaneous Optimization Algorithm
Energy Control Strategy of HEB Based on the Instantaneous Optimization Algorithm Open
In order to solve the problems of high gas consumption and low battery power in hybrid electric buses, the logic threshold control strategy is optimized by the key technology research of driving conditions, control strategy, and so on. Fir…