Spatial–temporal data-driven full driving cycle prediction for optimal energy management of battery/supercapacitor electric vehicles

Energy Conversion and Management

Published On 2023/2/1

For multi-energy storage vehicles, the performance of online predictive energy management strategies largely relies on the length and effective utilization of predictive information. In this context, this paper proposes a novel velocity prediction method for the full driving cycle of electric vehicles based on the spatial–temporal commuting data, then the predicted velocity is applied to predictive energy management in electric vehicles with battery/supercapacitor hybrid energy storage system. Firstly, an one-year real-world commuting data set is collected on a Chinese arterial road with 10 intersections, 225 records are classified into 79 categories. Then, a real-time two-stage full driving cycle prediction method is proposed, where a medium-term prediction based on a long–short term memory (LSTM) network and a long-term prediction generated by a spatial–temporal interpolation method (STIM) are spliced for each …

Journal

Energy Conversion and Management

Published On

2023/2/1

Volume

277

Page

116619

Authors

Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

Position

Professor at

H-Index(all)

104

H-Index(since 2020)

72

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

Power Electronics

Smart Batteries

AI

University Profile Page

Yue WU - UNC

Yue WU - UNC

University of North Carolina at Chapel Hill

Position

Kenan Distinguished Professor The

H-Index(all)

54

H-Index(since 2020)

31

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

nanoporous systems

metallic glasses

glass transition and LLT

NMR

JUN PENG

JUN PENG

Central South University

Position

H-Index(all)

25

H-Index(since 2020)

24

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

University Profile Page

Heng Li(李恒)

Heng Li(李恒)

Central South University

Position

H-Index(all)

18

H-Index(since 2020)

17

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

Battery management system

Internet of Energy

University Profile Page

Yunhong Che

Yunhong Che

Chongqing University

Position

H-Index(all)

16

H-Index(since 2020)

16

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

Energy Storage Systems

Transportation electrification

Prognostics and Health Management

Battery

University Profile Page

Yue Wu (武悦)

Yue Wu (武悦)

Central South University

Position

Chang Sha China.

H-Index(all)

9

H-Index(since 2020)

9

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

Control and Optimization

Energy Storage System

Electrified Vehicles

Intelligent Transportation

University Profile Page

Yongjie Liu

Yongjie Liu

Central South University

Position

H-Index(all)

8

H-Index(since 2020)

8

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

lithium-ion battery

electric vehicle

thermal/energy management

optimization

University Profile Page

Other Articles from authors

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Yue WU - UNC

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Heng Li(李恒)

Heng Li(李恒)

Central South University

Journal of Energy Storage

An optimal self-heating strategy for lithium-ion batteries with pulse-width modulated self-heater

Battery self-heating technology has emerged as a promising approach to enhance the power supply capability of lithium-ion batteries at low temperatures. However, in existing studies, the design of the heater circuit and the heating algorithm are typically considered separately, which compromises the heating performance. In this paper, an optimal self-heating strategy is proposed for lithium-ion batteries with a pulse-width modulated self-heater. The heating current could be precisely controlled by the pulse width signal, without requiring any modifications to the electrical characteristics of the topology. Meanwhile, the heating process is further optimized with a particle swarm optimization algorithm to balance the heating time and energy efficiency. The effectiveness of the proposed heating strategy is validated on the designed self-heater. Experimental results show that the proposed heating strategy can effectively …

Yue WU - UNC

Yue WU - UNC

University of North Carolina at Chapel Hill

Modelling long COVID using Bayesian networks

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JUN PENG

JUN PENG

Central South University

Applied Energy

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Yunhong Che

Yunhong Che

Chongqing University

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Yue Wu (武悦)

Yue Wu (武悦)

Central South University

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Optimal battery thermal management for electric vehicles with battery degradation minimization

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Yue WU - UNC

Yue WU - UNC

University of North Carolina at Chapel Hill

medRxiv

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Heng Li(李恒)

Heng Li(李恒)

Central South University

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Optimal battery thermal management for electric vehicles with battery degradation minimization

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Yue WU - UNC

Yue WU - UNC

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Yunhong Che

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JUN PENG

JUN PENG

Central South University

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Heng Li(李恒)

Heng Li(李恒)

Central South University

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Yue WU - UNC

Yue WU - UNC

University of North Carolina at Chapel Hill

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Yue WU - UNC

Yue WU - UNC

University of North Carolina at Chapel Hill

Biztonságtudományi Szemle

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Yunhong Che

Yunhong Che

Chongqing University

Reliability Engineering & System Safety

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JUN PENG

JUN PENG

Central South University

Journal of Energy Storage

Adversarial learning for robust battery thermal runaway prognostic of electric vehicles

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Yue WU - UNC

Yue WU - UNC

University of North Carolina at Chapel Hill

Read and reap the rewards: Learning to play atari with the help of instruction manuals

High sample complexity has long been a challenge for RL. On the other hand, humans learn to perform tasks not only from interaction or demonstrations, but also by reading unstructured text documents, eg, instruction manuals. Instruction manuals and wiki pages are among the most abundant data that could inform agents of valuable features and policies or task-specific environmental dynamics and reward structures. Therefore, we hypothesize that the ability to utilize human-written instruction manuals to assist learning policies for specific tasks should lead to a more efficient and better-performing agent. We propose the Read and Reward framework. Read and Reward speeds up RL algorithms on Atari games by reading manuals released by the Atari game developers. Our framework consists of a QA Extraction module that extracts and summarizes relevant information from the manual and a Reasoning module that evaluates object-agent interactions based on information from the manual. An auxiliary reward is then provided to a standard A2C RL agent, when interaction is detected. Experimentally, various RL algorithms obtain significant improvement in performance and training speed when assisted by our design. Code at github. com/Holmeswww/RnR

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University of Science and Technology of China

Energy Conversion and Management

Performance optimization of solid oxide electrolysis cell for syngas production by high temperature co-electrolysis via differential evolution algorithm with practical constraints

Co-electrolysis of water and carbon dioxide using solid oxide electrolysis cell combined with the catalytic reactor to produce renewable synthesis fuel is considered as a promising strategy for carbon dioxide utilization. However, in order to achieve a target product with a remarkable system-level efficiency, a certain proportion of carbon monoxide and hydrogen from solid oxide electrolysis cell must be sent to the catalytic reactor directly, which imposes practical constraints on the solid oxide electrolysis cell performance. Take this constraint into consideration, we proposed a performance design methodology that enables a rapid and effective optimization of the solid oxide electrolysis cell operating conditions. Firstly, a physical model is developed by integrating chemical equilibrium, electrochemistry, and energy conservation involved in the solid oxide electrolysis cell. Secondly, a physical model is utilized to generate …

Abdulkreem Alsultan

Abdulkreem Alsultan

Universiti Putra Malaysia

Energy Conversion and Management

Optimization of the activity of Mo7-Zn3/CaO catalyst in the transesterification of waste cooking oil into sustainable biodiesel via response surface methodology

An enriched basic site CaO-supported bimetallic Molybdenum-Zinc (Mo7-Zn3) catalyst was successfully synthesized via wet-impregnation and evaluated for the transesterification of waste cooking oil into biodiesel. The physicochemical characterization of the Mo7-Zn3/CaO catalyst demonstrated good dispersion of CaMoO4 and ZnO oxides on CaO support, with a mesoporous structure allowing for better mass transfer between reactants. The Mo7-Zn3/CaO catalyst exhibited high transesterification activity (95 ± 0.3 % FAME conversion), owing to the large density of strong Brønsted basic sites (conjugated O2–) generated from simultaneous interaction among Ca2+, Zn2+, and Mo6+ metal species. Response Surface Methodology (RSM) and Box Behnken Design (BBD) were used to optimize the reaction and indeed, the utmost FAME conversion of 95 % is achieved using 3.37 wt% catalyst loading, 12:1 methanol to …

Wei Liu 刘伟

Wei Liu 刘伟

Huazhong University of Science and Technology

Energy Conversion and Management

Exergy and energy analysis of an adsorption-based power and cooling cogeneration system based on a complete coupled CFD model

This study presents a cogeneration osmotic heat engine system integrating finned tube adsorption separation unit and reverse electrodialysis unit. Few studies have analyzed the osmotic heat engine system from the perspective of the second law of thermodynamics. To fill this knowledge gap, an exergy and energy analysis of the cogeneration OHE system is conducted based on a complete coupled computational fluid dynamic model for the first time. In contrast to the commonly used lumped model of adsorption separation process in previous literatures, temporal and spatial variations within the adsorbent bed are considered. The effect of the fin geometric features on exergy destruction distribution and system performance is comprehensively discussed. Results reveal that the maximum exergy destruction rate occurs at the beginning of switching process. The configuration of branched fins renders the highest …

Dela Quarme Gbadago, PhD

Dela Quarme Gbadago, PhD

Inha University

Energy Conversion and Management

Exploring the potential of liquid organic hydrogen carrier (LOHC) system for efficient hydrogen storage and Transport: A Techno-Economic and energy analysis perspective

Despite its potential as an environmentally clean fuel and energy source, hydrogen storage and utilization has been significantly hampered by its extremely low volumetric density (0.08988 g/L at 1 atm), making it inefficient to store and transport. Therefore, liquid organic hydrogen carrier (LOHC) systems are being recently investigated as potential alternatives for hydrogen storage and transport. However, as a budding research area, the selection of a suitable LOHC, its deployment in hydrogen fuel stations, and its economic viability are not well established. Therefore, this study proposes a comprehensive investigation of four different LOHCs [Methylcyclohexane (MCH), Dibenzyltoluene (DBT), N-ethylcarbazole (NEC) and Naphthalene (NAP)] via Aspen HYSYS simulations. The LOHCs were compared and contrasted using their physiochemical properties, techno-economic analysis and heat network integration. The …

Sohrab Zendehboudi

Sohrab Zendehboudi

Memorial University of Newfoundland

Energy Conversion and Management

Efficient Hydrogen Production via Electro-Thermochemical Process and Solid Oxide Fuel Cell: Thermodynamics, Economics, Optimization, and Uncertainty Analyses

The efficient and cost-effective design of an integrated structure relying on a biogas-based fuel cell for hydrogen (H2) production can represent a key step to attain the goal of net-zero carbon emissions. In this paper, waste heat and generated power of the hybrid configuration based on the biogas purification cycle and solid oxide fuel cell are utilized to produce H2. In the first H2 production scenario, the waste heat and power are used in a copper-chlorine (Cu-Cl) thermochemical plant and a polymer electrolyte membrane (PEM) electrolysis unit. In the second H2 production scenario, the power and waste heat are employed in a carbon dioxide power process and a PEM electrolyzer. Using an energy analysis, the thermal efficiency of the Cu-Cl/PEM-based system is 25.19% greater than that of the PEM-based system. The exergy efficiency of the Cu-Cl/PEM- and PEM-based systems are calculated at 48.10% and 40 …

David M. Warsinger

David M. Warsinger

Purdue University

Energy Conversion and Management

Generalization of second law efficiency for next-generation cooling and dehumidification systems

Dehumidification plays a significant role in space conditioning energy use. Conventional vapor compression cooling systems employ dewpoint condensation to deal with latent loads. In contrast, separate sensible latent cooling (SSLC) and other advanced alternative dehumidification systems can significantly reduce the electricity usage for dehumidification. The second law efficiency can be used as a benchmark to evaluate thermodynamic performance of alternative dehumidification systems. However, limitations exist in previous studies that define the thermodynamic reversible limits and second law efficiency for cooling and dehumidification systems. This work presents a new physics-based definition for the reversible limit and the second law efficiencies for cooling and dehumidification systems with air recirculation. The new framework is then extended to define a novel performance metric, the seasonal second …

Doria Marciuš

Doria Marciuš

Sveucilište u Zagrebu

Energy Conversion and Management

Fundamental mathematical model of electrochemical hydrogen compressor

Electrochemical hydrogen compressors have shown great potential in widening hydrogen usage, but further research is still needed to increase their efficiency and hydrogen output pressure. A novel fundamental mathematical model of the compressor is made in MATLAB/Simulink, which is validated with published experimental results and compared with previous models. The model provides a better understanding of the compressor’s operating mechanism, which is described through equations based on laws of physics and electrochemical relations for four different voltages from 0.025 V to 0.1 V. Achieved output pressures in model simulations reach values from 6.8 bar to 257 bar, respectively. In comparison with other models' results, these results account for Nernst potential, activation and ohmic overpotentials, and hydrogen back diffusion losses, simulated as time functions. Also, valuable insight into the …

Maider Amutio

Maider Amutio

Universidad del País Vasco

Energy Conversion and Management

Biomass pyrolysis and in-line air–steam reforming as a potential strategy to progress towards sustainable ammonia production

The steady growth in world population has increased the need for ammonia-derived products, especially fertilizers. Current ammonia production is highly energy intensive and emits huge amounts of CO2 due to the use of natural gas. Therefore, progress on the sustainability of the process is urgently required. Biomass pyrolysis and in-line air–steam reforming is an encouraging process for the renewable and sustainable ammonia production. Thus, this work studies the potential of this process to produce a stream containing H2 and N2 (from the air) in a 3:1 ratio suitable for the Haber-Bosch process. First, a thermodynamic assessment was performed to ascertain the most suitable conditions to obtain a gas stream with a suitable H2/N2 ratio. The simulations were carried out using AVEVA Pro II software by varying the amount of air ER (Equivalence Ratios from 0.13 to 0.17) incorporated into the inlet stream (mixture …

Iker González Pino

Iker González Pino

Universidad del País Vasco

Energy Conversion and Management

Techno-economic and environmental analyses of a solar-assisted Stirling engine cogeneration system for different dwelling types in the United Kingdom

In this study, a hybrid cogeneration system that combines photovoltaic-thermal (PV-T) collectors with a Stirling engine, and a battery-pack-based energy option is proposed for residential applications. The system’s purpose is to fulfil the electrical and heating requirements of different types of houses in the United Kingdom, including detached, semi-detached and mid-terraced houses. This study includes a comprehensive assessment of the techno-economic feasibility and environmental impact of the proposed integrated energy system, after determining the appropriate sizing of the system’s components for the three different house types. The exergy efficiency of the integrated system for detached houses (with a 1 kWe-Stirling engine plus 28 m2 of PV-T collector array) is found to be higher compared to that for the semi-detached and mid-terraced house configurations, with the highest efficiency of 22 %. In terms of …

Joakim Lundgren

Joakim Lundgren

Luleå tekniska Universitet

Energy Conversion and Management

Combination of CO2 electrochemical reduction and biomass gasification for producing methanol: A techno-economic assessment

Combining CO2 electrochemical reduction (CO2R) and biomass gasification for producing methanol (CH3OH) is a promising option to increase the carbon efficiency, reduce total production cost (TPC), and realize the utilization of byproducts of CO2R system, but its viability has not been studied. In this work, systematic techno-economic assessments for the processes that combined CO2R to produce CO/syngas/CH3OH with biomass gasification were conducted and compared to stand-alone biomass gasification and CO2R processes, to identify the benefits and analyze the commercialization potential of different pathways under current and future conditions. The results demonstrated that the process that combined biomass gasification with CO2R to CO represents a viable pathway with a competitive TPC of 0.39 €/kg-CH3OH under the current condition. For all the combined cases, electricity usage for CO2R …

Surachai Karnjanakom

Surachai Karnjanakom

Rangsit University

Energy Conversion and Management

Sustainable upgrading of crude glycerol via ultrasound-reinforced bio-refinery process with oxygen–nitrogen subsistence: Co-application of reusable heterogeneous catalyst

Selective/rapid production of value-added glyceryl triacetate (GT) from catalytic transformation of crude glycerol (CG) derived from biodiesel production procedure was systematically investigated using ultrasound-reinforced bio-refinery process with environmental friendliness. Interestingly, the tartaric-magnetic mesoporous alumina (TMMA) was synthesized via hydrothermal aluminization, calcination and functionalization, further applied as an active catalyst for CG acetylation under nitrogen and/or oxygen subsistence. The operative parameters for selective synthesis of GT derived optimization process were in the sequence of TMMA loading amount > ultrasonic level > acetylation time. The GT selectivity and activation energy derived from catalytic acetylation of CG using ultrasonic system were 97.78 % and 44.38 kJ/mol while traditional system were 52.51 % and 60.66 kJ/mol. For catalytic comparison, TMMA …