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Lithium-Sulfur Battery Technology Readiness and Applications—A Review

Energies (Basel), 2017-12, Vol.10 (12), p.1937

2017

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A multi-mode electric vehicle range estimator based on driving pattern recognition

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2022-03, Vol.236 (6), p.2677-2697

2022

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A review on the applications of driving data and traffic information for vehicles׳ energy conservation

Renewable & sustainable energy reviews, 2014-09, Vol.37, p.822-833

2014

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Battery Temperature Prediction Using an Adaptive Neuro-Fuzzy Inference System

Batteries (Basel), 2024-03, Vol.10 (3), p.85

2024

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Concurrent Real-Time Estimation of State of Health and Maximum Available Power in Lithium-Sulfur Batteries

Energies (Basel), 2018-08, Vol.11 (8), p.2133

2018

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Electric vehicle energy consumption modelling and estimation—A case study

International journal of energy research, 2021-01, Vol.45 (1), p.501-520

2021

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Formula-E race strategy development using artificial neural networks and Monte Carlo tree search

Neural computing & applications, 2020-09, Vol.32 (18), p.15191-15207

2020

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A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur

Renewable & sustainable energy reviews, 2016-04, Vol.56, p.1008-1021

2016

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Lithium-Sulfur Battery State-of-Charge Observability Analysis and Estimation

IEEE transactions on power electronics, 2018-07, Vol.33 (7), p.5847-5859

2018

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Optimal energy management for formula-E cars with regulatory limits and thermal constraints

Applied energy, 2020-12, Vol.279, p.115805, Article 115805

2020

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Formula-E Multi-Car Race Strategy Development-A Novel Approach Using Reinforcement Learning

IEEE transactions on intelligent transportation systems, 2024-08, Vol.25 (8), p.9524-9534

2024

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Application of advanced tree search and proximal policy optimization on formula-E race strategy development

Expert systems with applications, 2022-07, Vol.197, p.116718, Article 116718

2022

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A Model-Based Battery Charging Optimization Framework for Proper Trade-offs Between Time and Degradation

Automotive Innovation, 2023-05, Vol.6 (2), p.204-219

2023

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Review on eco-driving control for connected and automated vehicles

Renewable & sustainable energy reviews, 2024-01, Vol.189, p.114025, Article 114025

2024

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Eco-driving control for connected plug-in hybrid electric vehicles in urban scenarios with enhanced lane change engagement

Energy (Oxford), 2024-11, Vol.310, p.133294, Article 133294

2024

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Optimal Control of Race Car With Aerodynamic Slipstreaming Effect

IEEE transactions on control systems technology, 2024-11, Vol.32 (6), p.2136-2148

2024

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Nash double Q-based multi-agent deep reinforcement learning for interactive merging strategy in mixed traffic

Expert systems with applications, 2024-03, Vol.237, p.121458, Article 121458

2024

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Lithium-Sulfur Cell State of Charge Estimation Using a Classification Technique

IEEE transactions on vehicular technology, 2021-01, Vol.70 (1), p.212-224

2021

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Deep reinforcement learning-based eco-driving control for connected electric vehicles at signalized intersections considering traffic uncertainties

Energy (Oxford), 2023-09, Vol.279, p.128139, Article 128139

2023

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Energy-optimal overtaking manoeuvres of Formula-E cars

Vehicle system dynamics, 2023-08, Vol.61 (8), p.2023-2050

2023

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Accuracy Versus Simplicity in Online Battery Model Identification

IEEE transactions on systems, man, and cybernetics. Systems, 2018-02, Vol.48 (2), p.195-206

2018

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Kalman-variant estimators for state of charge in lithium-sulfur batteries

Journal of power sources, 2017-03, Vol.343, p.254-267

2017

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Cooperative Ecological Adaptive Cruise Control for Plug-In Hybrid Electric Vehicle Based on Approximate Dynamic Programming

IEEE transactions on vehicular technology, 2023-03, Vol.72 (3), p.3132-3145

2023

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Formula-E race strategy development using distributed policy gradient reinforcement learning

Knowledge-based systems, 2021-03, Vol.216, p.106781, Article 106781

2021

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Development of a Hybrid Adaptive Neuro-fuzzy Inference System with Coulomb-Counting State-of-Charge Estimator for Lithium–Sulphur Battery

International journal of fuzzy systems, 2023-03, Vol.25 (2), p.407-422

2023

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Lithium-Sulfur Battery Technology Readiness and Applications—A Review

A multi-mode electric vehicle range estimator based on driving pattern recognition

A review on the applications of driving data and traffic information for vehicles׳ energy conservation

Battery Temperature Prediction Using an Adaptive Neuro-Fuzzy Inference System

Concurrent Real-Time Estimation of State of Health and Maximum Available Power in Lithium-Sulfur Batteries

Electric vehicle energy consumption modelling and estimation—A case study

Formula-E race strategy development using artificial neural networks and Monte Carlo tree search

A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur

Lithium-Sulfur Battery State-of-Charge Observability Analysis and Estimation

Optimal energy management for formula-E cars with regulatory limits and thermal constraints

Formula-E Multi-Car Race Strategy Development-A Novel Approach Using Reinforcement Learning

Application of advanced tree search and proximal policy optimization on formula-E race strategy development

A Model-Based Battery Charging Optimization Framework for Proper Trade-offs Between Time and Degradation

Review on eco-driving control for connected and automated vehicles

Eco-driving control for connected plug-in hybrid electric vehicles in urban scenarios with enhanced lane change engagement

Optimal Control of Race Car With Aerodynamic Slipstreaming Effect

Nash double Q-based multi-agent deep reinforcement learning for interactive merging strategy in mixed traffic

Lithium-Sulfur Cell State of Charge Estimation Using a Classification Technique

Deep reinforcement learning-based eco-driving control for connected electric vehicles at signalized intersections considering traffic uncertainties

Energy-optimal overtaking manoeuvres of Formula-E cars

Accuracy Versus Simplicity in Online Battery Model Identification

Kalman-variant estimators for state of charge in lithium-sulfur batteries

Cooperative Ecological Adaptive Cruise Control for Plug-In Hybrid Electric Vehicle Based on Approximate Dynamic Programming

Formula-E race strategy development using distributed policy gradient reinforcement learning

Development of a Hybrid Adaptive Neuro-fuzzy Inference System with Coulomb-Counting State-of-Charge Estimator for Lithium–Sulphur Battery

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