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孙

孙逢春 (Fengchun Sun)

Beijing Institute of Technology

H指数:73

被引数:2.1万

个人简介

中国工程院院士，北京理工大学教授、博士生导师，车辆电动化专家。致力于新能源汽车整车集成与驱动理论研究、关键技术开发和工程应用工作，提出并创建了中国电动车辆、充/换电站系统、车联网等系统工程技术体系，创建了电动车辆国家工程实验室、“国家2011计划”北京电动车辆协同创新中心、新能源汽车国家监测与管理平台。出版著作8部，学术论文200余篇，以第一完成人获国家技术发明奖二等奖2项、国家科技进步奖二等奖1项、何梁何利奖及省部级奖多项。现任中国电工技术学会副理事长，北京市政府顾问，科技冬奥新能源汽车领域技术专家组组长，历任国家新能源汽车专家组专家、电动车辆国家工程实验室主任、北京理工大学副校长等。

教育背景

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工作经历

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荣誉奖项

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A multidimensional anomaly detection framework for battery capacity degradation in electric vehicles using real-world data

基于真实世界数据的电动汽车电池容量衰减的多维异常检测框架

IF9.4

2025-09-020

PRE

Sensors-enabled approach for real-time quantification of lithium plating under extreme environments

基于传感器的极端环境下锂沉积的实时量化方法

IF11

2025-07-010

PRE

Reinforcement learning based energy management for fuel cell hybrid electric vehicles: A comprehensive review on decision process reformulation and strategy implementation

基于强化学习的燃料电池混合动力汽车能量管理：关于决策过程再形式化和策略实施的综合评述

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

IF16.3

2025-05-011

PRE

Multi-factor aging in Lithium Iron phosphate batteries: Mechanisms and insights

磷酸铁锂电池的多因素老化：机制与见解

IF11

2025-03-012

PRE

Hierarchical Hybrid Steering Control for Four-Wheel-Steering Vehicles Considering System Delays

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

IF7.1

2025-02-010

PRE

Delving Into the Secrets of BEV 3D Object Detection in Autonomous Driving: A Comprehensive Survey

深入探究自动驾驶中BEV 3D目标检测的秘密：一项全面的综述

IEEE Transactions on Intelligent Transportation Systems

IF8.4

2025-01-010

OA

Convex Optimization for Long-Term Eco-Driving of Fuel Cell Hybrid Electric Vehicles on Signalized Corridors

信号通道上燃料电池混合动力汽车长期生态驾驶的凸优化

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

IF7.1

2024-12-012

PRE

A Data-Driven Approach for Battery System Safety Risk Evaluation Based on Real-World Electric Vehicle Operating Data

基于真实世界电动汽车运行数据的电池系统安全风险评估方法

IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION

IF8.3

2024-09-011

PRE

An urban charging load forecasting model based on trip chain model for private passenger electric vehicles: A case study in Beijing

IF9.4

2024-07-015

PRE

Advancing fault diagnosis in next-generation smart battery with multidimensional sensors

利用多维传感器推进下一代智能电池的故障诊断

IF11

2024-06-014

PRE

Deep reinforcement learning based energy management strategies for electrified vehicles: Recent advances and perspectives

基于深度强化学习的电动汽车能量管理策略: 最新进展与展望

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

IF16.3

2024-03-0112

PRE

Coordinated Hierarchical Co-Optimization of Speed Planning and Energy Management for Electric Vehicles Driving in Stochastic Environment

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

IF7.1

2023-10-010

PRE

Deep learning to predict battery voltage behavior after uncertain cycling-induced degradation

JOURNAL OF POWER SOURCES

IF7.9

2023-10-015

PRE

Commuting-pattern-oriented stochastic optimization of electric powertrains for revealing contributions of topology modifications to the powertrain energy efficiency

IF11

2023-08-012

PRE

Deep Learning Framework for Lithium-ion Battery State of Charge Estimation: Recent Advances and Future Perspectives

用于锂离子电池荷电状态估计的深度学习框架: 最新进展和未来展望

ENERGY STORAGE MATERIALS

IF20.2

2023-08-0151

PRE

Deep learning to estimate lithium-ion battery state of health without additional degradation experiments

无需额外的降解实验即可通过深度学习估算锂离子电池的健康状态

NATURE COMMUNICATIONS

IF15.7

2023-05-1365

OAAI

Simultaneous prediction of impedance spectra and state for lithium-ion batteries from short-term pulses

短时脉冲同时预测锂离子电池的阻抗谱和状态

ELECTROCHIMICA ACTA

IF5.6

2023-05-0111

PRE

Design and Implementation of a Battery Big Data Platform Through Intelligent Connected Electric Vehicles

智能网联电动汽车电池大数据平台的设计与实现

CHINESE JOURNAL OF MECHANICAL ENGINEERING

IF4.5

2023-04-253

OA

Electric vehicle behavior modeling and applications in vehicle-grid integration: An overview

电动汽车行为建模及其在车网一体化中的应用综述

IF9.4

2023-04-0157

PRE

Guided control for plug-in fuel cell hybrid electric vehicles via vehicle to traffic communication

IF9.4

2023-03-0114

PRE