平行电池：智能生态化电池技术与服务体系的框架和流程

doi:10.11959/j.issn.2096-6652.202152

Abstract

Abstract:

The concept, framework, process methodology and applications of parallel battery were proposed from both virtual and real aspects.The parallel battery was an application of ACP-based parallel intelligence in battery and related energy system areas.The real battery system was running with its equivalent, and the artificial battery system was in a virtual space, in a parallel and interactive manner.The artificial battery system contained the descriptive, predictive, and prescriptive functions on the real battery and related energy systems.There was a closed-loop workflow between the real battery system and the artificial battery system, which iteratively optimizes the battery and related energy systems, leading to a new paradigm of intelligent and ecological parallel battery system management.

Key words: parallel intelligence, ACP approach, computational experiment, parallel battery, energy system, parallel system

CLC Number:

TP29

Fei-Yue WANG,Huaiguang JIANG. Parallel battery: the framework and process for an intelligent and ecological battery system and related services[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(4): 521-531.

Figures/Tables 9

References 33

[1]	WHITTINGHAM M S . History,evolution,and future status of energy storage[J]. Proceedings of the IEEE, 2012,100: 1518-1534.
[2]	GOODENOUGH J B , MANTHIRAM A . A perspective on electrical energy storage[J]. MRS Communications, 2014,4(4): 135-142.
[3]	黄碧斌, 张运洲, 王彩霞 . 中国 “十四五” 新能源发展研判及需要关注的问题[J]. 中国电力, 2020,53(1): 1-9.
	HUANG B B , ZHANG Y Z , WANG C X . New energy development and issues in China during the 14th five-year plan[J]. Electric Power, 2020,53(1): 1-9.
[4]	LI M , LU J , CHEN Z W ,et al. 30 years of lithium-ion batteries[J]. Advanced Materials, 2018,30(33): 1800561.
[5]	WANG F Y , ZHANG J J , ZHENG X H ,et al. Where does AlphaGo go:from Church-Turing thesis to AlphaGo thesis and beyond[J]. IEEE/CAA Journal of Automatica Sinica, 2016,3(2): 113-120.
[6]	王飞跃, 戴汝为, 汤淑明 ,等. 城市综合交通、物流、生态问题的基础研究方法[J]. 交通运输系统工程与信息, 2004,4(3): 37-46.
	WANG F Y , DAI R W , TANG S M ,et al. Fundaments of sustainable and integrated development of metropolitan transportation,logistics and ecosystems[J]. Communication and Transportation Systems Engineering and Information, 2004,4(3): 37-46.
[7]	邓建玲, 王飞跃, 陈耀斌 ,等. 从工业 4.0 到能源 5.0:智能能源系统的概念、内涵及体系框架[J]. 自动化学报, 2015,41(12): 2003-2016.
	DENG J L , WANG F Y , CHEN Y B ,et al. From industries 4.0 to energy 5.0:concept and framework of intelligent energy systems[J]. Acta Automatica Sinica, 2015,41(12): 2003-2016.
[8]	王飞跃. 社会计算与平行管理:智慧城市、智慧企业、智慧社会[R]. 2011.
	WANG F Y . Social computing and parallel management:smart city,smart enterprise,and smart society[R]. 2011.
[9]	WANG F Y . Shadow systems:a new concept for nested and embedded co-simulation for intelligent systems[D]. Tucson:University of Arizona, 1994.
[10]	王飞跃 . 平行控制:数据驱动的计算控制方法[J]. 自动化学报, 2013,39(4): 293-302.
	WANG F Y . Parallel control:a method for data-driven and computational control[J]. Acta Automatica Sinica, 2013,39(4): 293-302.
[11]	王飞跃 . 人工社会、计算实验、平行系统:关于复杂社会经济系统计算研究的讨论[J]. 复杂系统与复杂性科学, 2004,1(4): 25-35.
	WANG F Y . Artificial societies,computational experiments,and parallel systems:a discussion on computational theory of complex social-economic systems[J]. Complex Systems and Complexity Science, 2004,1(4): 25-35.
[12]	王飞跃 . 计算实验方法与复杂系统行为分析和决策评估[J]. 系统仿真学报, 2004,16(5): 893-897.
	WANG F Y . Computational experiments for behavior analysis and decision evaluation of complex Systems[J]. Journal of System Simulation, 2004,16(5): 893-897.
[13]	王飞跃 . 平行系统方法与复杂系统的管理和控制[J]. 控制与决策, 2004,19(5): 485-489,514.
	WANG F Y . Parallel system methods for management and control of complex systems[J]. Control and Decision, 2004,19(5): 485-489,514.
[14]	李力, 林懿伦, 曹东璞 ,等. 平行学习—机器学习的一个新型理论框架[J]. 自动化学报, 2017,43(1): 1-8.
	LI L , LIN Y L , CAO D P ,et al. Parallel learning—a new framework for machine Learning[J]. Acta Automatica Sinica, 2017,43(1): 1-8.
[15]	WANG F Y . Parallel control and management for intelligent transportation systems:concepts,architectures,and applications[J]. IEEE Transactions on Intelligent Transportation Systems, 2010,11(3): 630-638.
[16]	王飞跃 . 社会信号处理与分析的基本框架:从社会传感网络到计算辩证解析方法[J]. 中国科学:信息科学, 2013,43(12): 1598-1611.
	WANG F Y . A framework for social signal processing and analysis:from social sensing networks to computational dialectical analytics[J]. Scientia Sinica (Informationis), 2013,43(12): 1598-1611.
[17]	张俊, 王飞跃, 方舟 . 社会能源：从社会中获取能源[J]. 智能科学与技术学报, 2019,1(1): 7-20.
	ZHANG J , WANG F Y , FANG Z . Social energy:mining energy from the society[J]. Chinese Journal of Intelligent Science and Technology, 2019,1(1): 7-20.
[18]	袁勇, 王飞跃 . 区块链技术发展现状与展望[J]. 自动化学报, 2016,42(4): 481-494.
	YUAN Y , WANG F Y . Blockchain:the state of the art and future trends[J]. Acta Automatica Sinica, 2016,42(4): 481-494.
[19]	刘腾, 王晓, 邢阳 ,等. 基于数字四胞胎的平行驾驶系统及应用[J]. 智能科学与技术学报, 2019,1(1): 40-51.
	LIU T , WANG X , XING Y ,et al. Research on digital quadruplets in cyber-physical-social space-based parallel driving[J]. Chinese Journal of Intelligent Science and Technology, 2019,1(1): 40-51.
[20]	王飞跃 . 软件定义的系统与知识自动化:从牛顿到默顿的平行升华[J]. 自动化学报, 2015,41(1): 1-8.
	WANG F Y . Software-defined systems and knowledge automation:a parallel paradigm shift from Newton to Merton[J]. Acta AutomaticaSinica, 2015,41(1): 1-8.
[21]	ZHANG N , WANG F Y , ZHU F H ,et al. DynaCAS:computational experiments and decision support for ITS[J]. IEEE Intelligent Systems, 2008,23(6): 19-23.
[22]	WANG F Y , JIN N , LIU D R ,et al. Adaptive dynamic programming for finite-horizon optimal control of discrete-time nonlinear systems with ε-error bound[J]. IEEE Transactions on Neural Networks, 2011,22(1): 24-36.
[23]	WANG F Y , ZHANG J , WEI Q L ,et al. PDP:parallel dynamic programming[J]. IEEE/CAA Journal of Automatica Sinica, 2017,4(1): 1-5.
[24]	王晓, 要婷婷, 韩双双 ,等. 平行车联网:基于 ACP 的智能车辆网联管理与控制[J]. 自动化学报, 2018,44(8): 1391-1404.
	WANG X , YAO T T , HAN S S ,et al. Parallel Internet of vehicles:the ACP-based networked management and control for intelligent vehicles[J]. Acta Automatica Sinica, 2018,44(8): 1391-1404.
[25]	王飞跃, 张俊 . 智联网:概念、问题和平台[J]. 自动化学报, 2017,43(12): 2061-2070.
	WANG F Y , ZHANG J . Internet of minds:the concept,issues and Platforms[J]. Acta Automatica Sinica, 2017,43(12): 2061-2070.
[26]	王飞跃, 王艳芬, 陈薏竹 ,等. 联邦生态:从联邦数据到联邦智能[J]. 智能科学与技术学报, 2020,2(4): 305-311.
	WANG F Y , WANG Y F , CHEN Y Z ,et al. Federated ecology:from federated data to federated intelligence[J]. Chinese Journal of Intelligent Science and Technology, 2020,2(4): 305-311.
[27]	张俊, 高文忠, 张应晨 ,等. 运行于区块链上的智能分布式电力能源系统:需求、概念、方法以及展望[J]. 自动化学报, 2017,43(9): 1544-1554.
	ZHANG J , GAO W Z , ZHANG Y C ,et al. Blockchain based intelligent distributed electrical energy systems:needs,concepts,approaches and vision[J]. Acta Automatica Sinica, 2017,43(9): 1544-1554.
[28]	吕宜生, 王飞跃, 张宇 ,等. 虚实互动的平行城市:基本框架、方法与应用[J]. 智能科学与技术学报, 2019,1(3): 311-317.
	LYU Y S , WANG F Y , ZHANG Y ,et al. Parallel cities:framework,methodology,and application[J]. Chinese Journal of Intelligent Science and Technology, 2019,1(3): 311-317.
[29]	吕宜生, 陈圆圆, 金峻臣 ,等. 平行交通:虚实互动的智能交通管理与控制[J]. 智能科学与技术学报, 2019,1(1): 21-33.
	LYU Y S , CHEN Y Y , JIN J C ,et al. Parallel transportation:virtual-real interaction for intelligent traffic management and control[J]. Chinese Journal of Intelligent Science and Technology, 2019,1(1): 21-33.
[30]	ANDERSSON G , DONALEK P , FARMER R ,et al. Causes of the 2003 major grid blackouts in North America and Europe,and recommended means to improve system dynamic performance[J]. IEEE Transactions on Power Systems, 2005,20(4): 1922-1928.
[31]	WANG F Y . Shadow systems:a new concept for nested and embedded cosimulation for intelligent systems[R]. 1994.
[32]	白昱阳, 黄彦浩, 陈思远 ,等. 云边智能:电力系统运行控制的边缘计算方法及其应用现状与展望[J]. 自动化学报, 2020,46(3): 397-410.
	BAI Y Y , HUANG Y H , CHEN S Y ,et al. Cloud-edge intelligence:status quo and future prospective of edge computing approaches and applications in power system operation and control[J]. Acta Automatica Sinica, 2020,46(3): 397-410.
[33]	王飞跃 . 机器人的未来发展:从工业自动化到知识自动化[J]. 科技导报, 2015,33(21): 39-44.
	WANG F Y . On future development of robotics:from industrial automation to knowledge automation[J]. Science and Technology Review, 2015,33(21): 39-44.

Metrics

Recommended 0

No Suggested Reading articles found!

Parallel battery: the framework and process for an intelligent and ecological battery system and related services

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 33

Related Articles 15

Metrics

Recommended 0

[1]	Qinghai MIAO, Yisheng LYU. Parallel transportation systems in era of metaverse [J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(1): 32-40.
[2]	Mengzhen KANG, Hequan SUN, Xiujuan WANG, Fei-Yue WANG. Systems agriculture: modeling and control based on social and economic attributes of agriculture [J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(1): 41-50.
[3]	Xiao WANG, Linyao YANG, Bin HU, Jiachen HOU. Parallel reasoning: a virtual-real interactive knowledge collaboration framework based on ACP approach [J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(1): 69-82.
[4]	Yonglin TIAN, Yuanwen CHEN, Jing YANG, Yutong WANG, Xiao WANG, Qinghai MIAO, Ziran WANG, Fei-Yue WANG. Metaverses and parallel systems: the state of the art, comparisons and prospects [J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(1): 121-132.
[5]	Mengzhen KANG, Wenzhong QIU, Zifu CHEN, Meng WANG, Shasha XU, Xiujuan WANG, Aidong NI, Yujie JIANG, Shichao CHEN, Philippe DEREFFYE, Fei-Yue WANG. Parallel Yuan-Ming Yuan Imperial Garden: from digital twin garden to metaverse smart heritage park [J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(3): 301-307.
[6]	Chao GUO, Yue LU, Xiao WANG, Da YI, Xiao WANG, Fei-Yue WANG. Architecture and key techniques of parallel creation through the fusion of human-cyber-physical intelligence in CPSS [J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(3): 344-354.
[7]	Xiangwen ZHANG, Fei-Yue WANG. Basic framework and key technologies of parallel tires [J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(3): 445-457.
[8]	Xiaoshuang LI, Xiao WANG, Linyao YANG, Yonglin TIAN, Yutong WANG, Jun ZHANG, Fei-Yue WANG. MetaGrid: a parallel grids based approach for next generation smart power systems [J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(4): 387-398.
[9]	Fangle CHANG, Mengzhen KANG, Xiujuan WANG, Jiaqiang LEI, Fei-Yue WANG. Windblown sand control decision-making support system based on parallel intelligence: Taklimakan desert highway and its sand-breaking system [J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(4): 499-506.
[10]	Yaling LI, Linyao YANG, Jun GE, Yuanqi QIN, Xiao WANG. Game 5.0: social cognitionparallel game based on the parallel systems and machine game [J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(4): 507-520.
[11]	Fei-Yue WANG. Parallel philosophy and intelligent technology: dual equations and testing systems for parallel industries and smart societies [J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(3): 245-255.
[12]	Chunfa WANG, Fei-Yue WANG, Yue LU, Huabiao LI, Chao GUO. Parallel museums: intelligent management and control of museum operations in the new era [J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(2): 125-136.
[13]	Yuzhen WU, Jun ZHANG, Tianlu GAO, Yujian SUN, Jinxu LIU. Parallel port: new formation and system architecture of port industry Internet of minds in smart and green era [J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(2): 218-227.
[14]	Fei-Yue WANG. Parallel medicine: from warmness of medicare to medicine of smartness [J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(1): 1-9.
[15]	Qing-Shan JIA, Jingxian TANG, Junjie WU, Xiao HU, Yiting LIN, Heng XIA. Reinforcement learning for green and reliable data center [J]. Chinese Journal of Intelligent Science and Technology, 2020, 2(4): 341-347.