☆ 4.7 Article

Physics-informed data-driven modeling approach for commuting-oriented hybrid powertrain optimization

ENERGY CONVERSION AND MANAGEMENT (2024)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Thermodynamics

A new vehicle specific power method based on internally observable variables: Application to CO2 emission assessment for a hybrid electric vehicle

Wenli Wang et al.

Summary: As an important method for recognizing vehicle activity, vehicle specific power (VSP) has been widely used in on-road traffic emission modeling since 1999. A conventional VSP (VSP_veh) is calculated based on externally observable variables (EOVs) at the vehicle level, representing the power needed for a running vehicle. However, for hybrid electric vehicles (HEVs) with two power sources, the vehicle activity is not always directly related to engine emissions. This study introduces engine level VSP (VSP_eng), which estimates engine power based on internally observable variables (IOVs) obtained from the vehicle's on-board electronic control unit (ECU).

ENERGY CONVERSION AND MANAGEMENT (2023)

添加到收藏夹

Article Thermodynamics

Short-term multi-step wind power forecasting based on spatio-temporal correlations and transformer neural networks

Shilin Sun et al.

Summary: This paper proposes a novel method to enhance the reliability of wind condition knowledge by considering the spatial information of surrounding wind turbines and achieve wind power modeling using transformer neural networks based on the multi-head attention mechanism. Experimental results show that the proposed method outperforms other approaches, especially in large steps forecasting, with significantly better average values of mean absolute error.

ENERGY CONVERSION AND MANAGEMENT (2023)

添加到收藏夹

Article Energy & Fuels

High-precision transient fuel consumption model based on support vector regression

Xinyu Liu et al.

Summary: Due to environmental issues caused by transportation, energy conservation and emission reduction have become important research directions in the field. Fuel consumption models, as the key tool for estimating transient fuel consumption, are crucial for quantifying energy consumption of vehicles. However, most existing models have complex structures, difficult-to-determine coefficients, and hard-to-measure input parameters. Therefore, a high-precision model with good applicability and easy implementation is proposed in this paper.

FUEL (2023)

添加到收藏夹

Article Thermodynamics

Exploration the route of information integration for vehicle design: A knowledge-enhanced energy management strategy

Zhuoran Hou et al.

Energy (2023)

添加到收藏夹

Article Thermodynamics

Optimal rule extraction-based real-time energy management strategy for series-parallel hybrid electric vehicles

Wenjun Pan et al.

Summary: This paper proposes an energy management strategy optimized by dynamic programming for a series-parallel hybrid electric vehicle. The strategy is modeled and validated with experimental data, and the mapping relationship between control variables and driving conditions is analyzed. The influence of the engine warm-up process on fuel consumption is investigated, and the optimal operating mode distribution of clutches and the optimal power of the engine and motor are extracted to generate the real-time strategy.

ENERGY CONVERSION AND MANAGEMENT (2023)

添加到收藏夹

Article Automation & Control Systems

Short-term district power load self-prediction based on improved XGBoost model

Wangbin Cao et al.

Summary: This paper addresses the uncertainty of district power prediction caused by distributed generation and diversified loads. By improving the XGBoost model from three aspects: model, data, and performance, a WR-XGBoost model with a windowed mechanism and random grid search is proposed for self-prediction of short-term district power load. The model introduces a causal sliding window with different strides to process the training and test sets separately, uses discrete difference data as input, and reduces the hyperparameter debugging process through random grid search. The results demonstrate that the WR-XGBoost model outperforms five comparison models in terms of predictive power and generalization using four datasets and seven statistical indicators.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2023)

添加到收藏夹

Article Thermodynamics

Electric vehicle powertrain and fuzzy controller optimization using a planar dynamics simulation based on a real-world driving cycle

Matheus H. R. Miranda et al.

Summary: A fuzzy logic control strategy is proposed to optimize energy management and performance of electric vehicles.

ENERGY (2022)

添加到收藏夹

Article Thermodynamics

Electric hydraulic hybrid vehicle powertrain design and optimization-based power distribution control to extend driving range and battery life cycle

Jony Javorski Eckert et al.

Summary: This paper presents a comprehensive optimization procedure for a series electric hydraulic hybrid vehicle powertrain and control, achieving maximum driving range and battery lifespan while minimizing onboard energy storage system mass. The results indicate that this powertrain architecture is attractive in terms of sustainability and economy, reducing battery aging effectively through the use of a high power density hydraulic accumulator.

ENERGY CONVERSION AND MANAGEMENT (2022)

添加到收藏夹

Article Engineering, Electrical & Electronic

Battery Health-Aware and Deep Reinforcement Learning-Based Energy Management for Naturalistic Data-Driven Driving Scenarios

Xiaolin Tang et al.

Summary: This article proposes a battery health-aware and deep reinforcement learning energy management framework for power-split hybrid electric vehicles in a naturalistic driving scenario. The framework utilizes data-driven methods to establish driving scenarios and embeds expert knowledge into the deep deterministic policy gradient for faster convergence and guaranteed vehicle performance. The proposed strategy optimizes the tradeoff among fuel consumption, battery aging cost, and state of charge sustainability penalty, and outperforms existing strategies in terms of battery aging and iterative convergence.

IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2022)

添加到收藏夹

Article Energy & Fuels

Online estimation of driving range for battery electric vehicles based on SOC-segmented actual driving cycle

Heng Wei et al.

Summary: This study establishes an online estimation model for the remaining driving range (RDR) of battery electric vehicles (BEVs) based on real-world data. The research analyzes the factors influencing the energy consumption rate (ECR) of BEVs and identifies the optimal driving speed for energy efficiency. The findings show a 39% increase in ECR and a 30% decrease in driving range in winter compared to summer, with an economical driving speed of 58 km/h.

JOURNAL OF ENERGY STORAGE (2022)

添加到收藏夹

Article Energy & Fuels

Leveraging the benefits of ethanol-fueled advanced combustion and supervisory control optimization in hybrid biofuel-electric vehicles

Hao Zhang et al.

Summary: The article investigates the potential of advanced combustion-based dedicated hybrid engines for reducing greenhouse gas emissions in biofuel-electric vehicles. It presents a methodology for optimizing the combustion system and control system, and evaluates the performance of the optimized engine under different driving cycles. The results show a significant reduction in CO2 emissions, and a digital twin-based simulation platform is developed for further evaluation and optimization.

APPLIED ENERGY (2022)

添加到收藏夹

Article Energy & Fuels

Use of Artificial Neural Networks to Predict Fuel Consumption on the Basis of Technical Parameters of Vehicles

Jaroslaw Ziolkowski et al.

Summary: This study presents a multifaceted analysis of fuel consumption of motor vehicles and its environmental impact, focusing on passenger cars. Using artificial neural networks, a predictive model was created based on a database containing 1750 vehicle records from the past decade. The study determined the influence of input variables on prediction accuracy and built neural networks with different configurations to evaluate prediction errors, specifically for passenger cars with internal combustion engines.

ENERGIES (2021)

添加到收藏夹

Article Energy & Fuels

An experimental study on the mechanical characteristics of Li-ion battery during overcharge-induced thermal runaway

Peipei Xu et al.

Summary: This study investigates the evolution of expansion force during thermal runaway process of large format lithium-ion battery under overcharge, revealing that the rupture of the battery shell is the trigger of thermal runaway event. The expansion force increases dramatically with the state of charge, reaching up to 3400 N. The early abnormal expansion of the battery is caused by lithium dendrite, lithium plating, and CO produced by incomplete electrolyte oxidation.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2021)

添加到收藏夹

Review Green & Sustainable Science & Technology

Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies

Dai-Duong Tran et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)

添加到收藏夹

Article Engineering, Mechanical

Integrated optimal design of configuration and parameter of multimode hybrid powertrain system with two planetary gears

Jiading Gu et al.

MECHANISM AND MACHINE THEORY (2020)

添加到收藏夹

Article Environmental Studies

Development of a representative urban driving cycle construction methodology for electric vehicles: A case study in Xi'an

Xuan Zhao et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Instantaneous vehicle fuel consumption estimation using smartphones and recurrent neural networks

Stratis Kanarachos et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

添加到收藏夹

Article Thermodynamics

Data-driven surrogate assisted evolutionary optimization of hybrid powertrain for improved fuel economy and performance

Debraj Bhattacharjee et al.

ENERGY (2019)

添加到收藏夹

Review Green & Sustainable Science & Technology

A review of power management strategies and component sizing methods for hybrid vehicles

Yanjun Huang et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)

添加到收藏夹

Article Energy & Fuels

Energy Management Strategy in Consideration of Battery Health for PHEV via Stochastic Control and Particle Swarm Optimization Algorithm

Yuying Wang et al.

ENERGIES (2017)

添加到收藏夹

Article Energy & Fuels

Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles

Chao Sun et al.

APPLIED ENERGY (2017)

添加到收藏夹

Article Energy & Fuels

Multi-objective optimization design and performance evaluation for plug-in hybrid electric vehicle powertrains

Xingyu Zhou et al.

APPLIED ENERGY (2017)

添加到收藏夹

Article Green & Sustainable Science & Technology

Driving cycle developments and their impacts on energy consumption of transportation

H. Achour et al.

JOURNAL OF CLEANER PRODUCTION (2016)

添加到收藏夹

Article Thermodynamics

Dynamical and quasi-static multi-physical models of a diesel internal combustion engine using Energetic Macroscopic Representation

L. Horrein et al.

ENERGY CONVERSION AND MANAGEMENT (2015)

添加到收藏夹

Article Thermodynamics

Life cycle assessment of energy consumption and GHG emissions of olefins production from alternative resources in China

Dong Xiang et al.

ENERGY CONVERSION AND MANAGEMENT (2015)

添加到收藏夹

Article Engineering, Electrical & Electronic

Energy Management Strategy for HEVs Including Battery Life Optimization

Li Tang et al.

IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2015)

添加到收藏夹

Article Economics

Inventory of conventional air pollutants emissions from road transportation for the state of Rio de Janeiro

Cristiane Duarte Ribeiro de Souza et al.

ENERGY POLICY (2013)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A fast and elitist multiobjective genetic algorithm: NSGA-II

K Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.