Zhenpo Wang
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View article: Bridging battery degradation and safety: Challenges and opportunities
Bridging battery degradation and safety: Challenges and opportunities Open
View article: Thermal runaway propagation path and fire risk assessment in electric vehicles based on full-vehicle experiments
Thermal runaway propagation path and fire risk assessment in electric vehicles based on full-vehicle experiments Open
View article: Uncovering hidden energy injustice in the distribution of urban electric vehicle charging resources
Uncovering hidden energy injustice in the distribution of urban electric vehicle charging resources Open
View article: Life Cycle Assessment Based on Whole Industry Chain Assessment of FCEVs
Life Cycle Assessment Based on Whole Industry Chain Assessment of FCEVs Open
Fuel cell electric vehicles (FCEVs) offer a promising solution for energy saving and emission reduction in transportation. However, several challenges must be addressed for their application. This study conducts a full life cycle assessmen…
View article: Hierarchical optimization of battery state of charge planning and real-time energy management for connected fuel cell electric vehicles
Hierarchical optimization of battery state of charge planning and real-time energy management for connected fuel cell electric vehicles Open
View article: Unveiling the explosion potential of lithium-ion batteries: A quantitative approach to safety assessment
Unveiling the explosion potential of lithium-ion batteries: A quantitative approach to safety assessment Open
The safety of lithium-ion batteries is a critical and challenging focus of current research. This perspective article systematically summarized and compared evaluation methods for the trinitrotoluene-equivalent (TNT-equivalent) of lithium-…
View article: A multi-scenario data-driven approach for anomaly detection in electric vehicle battery systems
A multi-scenario data-driven approach for anomaly detection in electric vehicle battery systems Open
View article: Large-scale empirical study of electric vehicle usage patterns and charging infrastructure needs
Large-scale empirical study of electric vehicle usage patterns and charging infrastructure needs Open
As global electric vehicle (EV) adoption accelerates, granular analysis of empirical usage and charging patterns remains scarce. This study presents a unique large-scale empirical examination of 1.6 million EVs, including a broad array of …
View article: Identification of electric vehicle susceptible to thermal runaway based on risk accumulation
Identification of electric vehicle susceptible to thermal runaway based on risk accumulation Open
View article: Hierarchical Optimization of Battery State of Charge Planning and Real-Time Energy Management For Connected Fuel Cell Electric Vehicles
Hierarchical Optimization of Battery State of Charge Planning and Real-Time Energy Management For Connected Fuel Cell Electric Vehicles Open
View article: Machine Learning for Selecting High-Energy Phosphate Cathode Materials
Machine Learning for Selecting High-Energy Phosphate Cathode Materials Open
The limited energy density inherent in cathode materials remains a marked barrier to the widespread adoption of sodium-ion batteries. Despite considerable research efforts, the precise influence of atomic and crystalline configurations on …
View article: Large Language Model Guided Deep Reinforcement Learning for Safe Autonomous Vehicle Decision Making
Large Language Model Guided Deep Reinforcement Learning for Safe Autonomous Vehicle Decision Making Open
View article: Data-Driven Remaining Driving Range Estimation and Analysis Framework for Electric Vehicles Under Real-World Conditions
Data-Driven Remaining Driving Range Estimation and Analysis Framework for Electric Vehicles Under Real-World Conditions Open
View article: Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving
Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving Open
Deep reinforcement learning (DRL) shows promising potential for autonomous driving decision-making. However, DRL demands extensive computational resources to achieve a qualified policy in complex driving scenarios due to its low learning e…
View article: A Data-Driven Online Prediction Model for Battery Charging Efficiency Accounting for Entropic Heat
A Data-Driven Online Prediction Model for Battery Charging Efficiency Accounting for Entropic Heat Open
This study proposes a charging efficiency calculation model based on an equivalent internal resistance framework. A data-driven neural network model is developed to predict the charging efficiency of lithium titanate (LTO) batteries for 5%…
View article: A Large-Scale Empirical Analysis of Electric Vehicle Us-age and Charging: Operational Demands and Infrastructure Implications
A Large-Scale Empirical Analysis of Electric Vehicle Us-age and Charging: Operational Demands and Infrastructure Implications Open
As global electric vehicle (EV) adoption accelerates, granular analysis of empirical usage andcharging patterns remains scarce. This study presents a unique large-scale empirical exam-ination of 1.6 million EVs, including a broad array of …
View article: All-Wheel Steering Tracking Control Method for Virtual Rail Trains with Only Interoceptive Sensors
All-Wheel Steering Tracking Control Method for Virtual Rail Trains with Only Interoceptive Sensors Open
A virtual rail train (VRT) is a multi-articulated vehicle as well as a novel public transportation system due to its low economic cost, environmental friendliness and high transit capacity. Equipped with all-wheel steering (AWS) and a trac…
View article: Arbitrary Power Distribution and Efficiency Optimization for Dual-Receiver Inductive Power Transfer System With Variable Coupling
Arbitrary Power Distribution and Efficiency Optimization for Dual-Receiver Inductive Power Transfer System With Variable Coupling Open
In wireless charging application for electric vehicles, multi-receiver inductive power transfer (IPT) systems hold enormous potential. However, the coupling and charging rates between vehicles exhibit significant disparities and unpredicta…
View article: Multi-Objective Optimization Strategy for Fuel Cell Hybrid Electric Trucks Based on Driving Patern Recognition
Multi-Objective Optimization Strategy for Fuel Cell Hybrid Electric Trucks Based on Driving Patern Recognition Open
Fuel cell hybrid electric trucks have become a cutting-edge field in understanding urban traffic emissions due to their enormous potential in low-carbon areas. In order to improve the economy of fuel cell hybrid electric trucks and reduce …
View article: Research on Inconsistency Evaluation of Retired Battery Systems in Real-World Vehicles
Research on Inconsistency Evaluation of Retired Battery Systems in Real-World Vehicles Open
Inconsistency is a key factor triggering safety problems in battery packs. The inconsistency evaluation of retired batteries is of great significance to ensure the safe and stable operation of batteries during subsequent gradual use. This …
View article: Prediction and Diagnosis of Electric Vehicle Battery Fault Based on Abnormal Voltage: Using Decision Tree Algorithm Theories and Isolated Forest
Prediction and Diagnosis of Electric Vehicle Battery Fault Based on Abnormal Voltage: Using Decision Tree Algorithm Theories and Isolated Forest Open
Battery voltage is a pivotal parameter for evaluating battery health and safety. The precise prediction of battery voltage and the implementation of anomaly detection are imperative for ensuring the secure and dependable operation of batte…
View article: Battery-Swapping Battery Electric Vehicles
Battery-Swapping Battery Electric Vehicles Open
The "separation of vehicles and battery" is of great significance for building a green energy ecology, lowering users' costs for vehicle purchase, alleviating mileage and charging anxiety, and prolonging the battery degradation cycle. The …
View article: Meta-Learning Based Online Trajectory Optimization for Autonomous Driving: Addressing the Uncertainty of Environment and Obstacle Motion
Meta-Learning Based Online Trajectory Optimization for Autonomous Driving: Addressing the Uncertainty of Environment and Obstacle Motion Open
View article: Operation of New Energy Vehicles
Operation of New Energy Vehicles Open
This Chapter, based on the real-time operation data of millions of NEVs on the National Monitoring and Management Platform, analyzes the operation characteristics of vehicles in the seven major segments, including private cars, e-taxis, ta…
View article: Promotion and Application in Typical Regions and Cities
Promotion and Application in Typical Regions and Cities Open
This study examines the promotion and application of new energy vehicles (NEVs) in Beijing, Shanghai, Guangzhou, Shenzhen, Liuzhou, Foshan, and cold regions. It outlines the development features of the NEV industry in each typical city and…
View article: Orderly Charging Strategy for Fast Charging Stations for Buses Considering the Bus–Station System-Level Charging Efficiency
Orderly Charging Strategy for Fast Charging Stations for Buses Considering the Bus–Station System-Level Charging Efficiency Open
View article: Promotion and Application of New Energy Vehicles
Promotion and Application of New Energy Vehicles Open
NEVs have entered into a stage of overall market expansion featuring a world-leading position in market scale and constant enhancement of product competitiveness.
View article: Control-Oriented Electrochemical Modeling for Lithium-Ion Batteries Using Transfer Functions
Control-Oriented Electrochemical Modeling for Lithium-Ion Batteries Using Transfer Functions Open
View article: Investigation of Battery Safety States Based on Thermal Propagation and Expansion Analysis: Experimental Studies on Different Packaging Forms
Investigation of Battery Safety States Based on Thermal Propagation and Expansion Analysis: Experimental Studies on Different Packaging Forms Open
View article: Online Core Temperature Estimation Method for Lithium-Ion Batteries Over the Entire Lifecycle
Online Core Temperature Estimation Method for Lithium-Ion Batteries Over the Entire Lifecycle Open