Search Results - "Fengchun Sun"
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Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles
Published in IEEE transactions on control systems technology (01-05-2015)“…The performance and practicality of predictive energy management in hybrid electric vehicles (HEVs) are highly dependent on the forecast of future vehicular…”
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Reinforcement Learning of Adaptive Energy Management With Transition Probability for a Hybrid Electric Tracked Vehicle
Published in IEEE transactions on industrial electronics (1982) (01-12-2015)“…A reinforcement learning-based adaptive energy management (RLAEM) is proposed for a hybrid electric tracked vehicle (HETV) in this paper. A control oriented…”
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3
A review of supercapacitor modeling, estimation, and applications: A control/management perspective
Published in Renewable & sustainable energy reviews (01-01-2018)“…Supercapacitors (SCs) have high power density and exceptional durability. Progress has been made in their materials and chemistries, while extensive research…”
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Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles
Published in IEEE access (01-01-2018)“…Battery technology is the bottleneck of the electric vehicles (EVs). It is important, both in theory and practical application, to do research on the modeling…”
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5
Deep learning to estimate lithium-ion battery state of health without additional degradation experiments
Published in Nature communications (13-05-2023)“…State of health is a critical state which evaluates the degradation level of batteries. However, it cannot be measured directly but requires estimation. While…”
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Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach
Published in IEEE transactions on vehicular technology (01-01-2013)“…An accurate State-of-Charge (SoC) estimation plays a significant role in battery systems used in electric vehicles due to the arduous operation environments…”
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7
A novel echelon internal heating strategy of cold batteries for all-climate electric vehicles application
Published in Applied energy (01-06-2018)“…•A novel echelon preheating strategy is proposed for all-climate battery.•A novel electro-thermal coupled model has proposed for calculating battery…”
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A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion polymer battery in electric vehicles
Published in Applied energy (01-01-2014)“…•A data-driven multi-scale extended Kalman filtering is developed for battery system.•A lumped parameter battery model against different aging levels has been…”
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A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles
Published in Applied energy (01-01-2014)“…•A lumped parameter battery model against different battery aging levels is proposed.•The RLS based method is used to identify the parameter of battery model…”
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10
An Overview on Thermal Safety Issues of Lithium-ion Batteries for Electric Vehicle Application
Published in IEEE access (01-01-2018)“…Lithium-ion batteries (LIBs) are being intensively studied and universally used as power sources for electric vehicle applications. Despite the staggering…”
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11
State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model
Published in IEEE transactions on vehicular technology (01-05-2011)“…An adaptive Kalman filter algorithm is adopted to estimate the state of charge (SOC) of a lithium-ion battery for application in electric vehicles (EVs)…”
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12
Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles
Published in Energy (Oxford) (01-05-2011)“…An accurate battery State of Charge estimation is of great significance for battery electric vehicles and hybrid electric vehicles. This paper presents an…”
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13
Dynamic Traffic Feedback Data Enabled Energy Management in Plug-in Hybrid Electric Vehicles
Published in IEEE transactions on control systems technology (01-05-2015)“…Recent advances in traffic monitoring systems have made real-time traffic velocity data ubiquitously accessible for drivers. This paper develops a traffic…”
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14
Estimation of state-of-charge and state-of-power capability of lithium-ion battery considering varying health conditions
Published in Journal of power sources (01-08-2014)“…Battery state-of-charge (SoC) and state-of-power capability (SoP) are two of the most significant decision factors for energy management system in electrified…”
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15
Comparative Study of Dynamic Programming and Pontryagin’s Minimum Principle on Energy Management for a Parallel Hybrid Electric Vehicle
Published in Energies (Basel) (01-04-2013)“…This paper compares two optimal energy management methods for parallel hybrid electric vehicles using an Automatic Manual Transmission (AMT). A…”
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16
Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries
Published in Journal of power sources (01-11-2012)“…Battery State of Charge (SOC) estimation is an important function for battery management systems and critical for the reliable operations of batteries. This…”
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17
Application Study on the Dynamic Programming Algorithm for Energy Management of Plug-in Hybrid Electric Vehicles
Published in Energies (Basel) (01-04-2015)“…To explore the problems associated with applying dynamic programming (DP) in the energy management strategies of plug-in hybrid electric vehicles (PHEVs), a…”
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18
Charging time and loss optimization for LiNMC and LiFePO4 batteries based on equivalent circuit models
Published in Journal of power sources (01-10-2013)“…Battery management system monitors and mitigates the operation of battery cells and stacks and is important for battery safety and reliability. This paper…”
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19
A data-driven adaptive state of charge and power capability joint estimator of lithium-ion polymer battery used in electric vehicles
Published in Energy (Oxford) (15-12-2013)“…An accurate SoC (state of charge) and SoP (state of power capability) joint estimator is the most significant techniques for electric vehicles. This paper…”
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20
Model-based state of charge and peak power capability joint estimation of lithium-ion battery in plug-in hybrid electric vehicles
Published in Journal of power sources (01-05-2013)“…This paper uses an adaptive extended Kalman filter (AEKF)-based method to jointly estimate the State of Charge (SoC) and peak power capability of a lithium-ion…”
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