[1]Al-Hallaj S, Selman JR, 2002. Thermal modeling of secondary lithium batteries for electric vehicle/hybrid electric vehicle applications. Journal of Power Sources, 110(2):341-348.

[2]Ambühl D, Sundström O, Sciarretta A, et al., 2010. Explicit optimal control policy and its practical application for hybrid electric powertrains. Control Engineering Practice, 18(12):1429-1439.

[3]Antonelli M, Ceraolo M, Desideri U, et al., 2017. Hybridization of rubber tired gantry (RTG) cranes. Journal of Energy Storage, 12:186-195.

[4]Bloom I, Cole BW, Sohn JJ, et al., 2001. An accelerated calendar and cycle life study of Li-ion cells. Journal of Power Sources, 101(2):238-247.

[5]Boglietti A, Cavagnino A, Pastorelli M, et al., 2006. Thermal analysis of induction and synchronous reluctance motors. IEEE Transactions on Industry Applications, 42(3):675-680.

[6]Cao XY, Ming FR, Zhang AM, 2014. Sloshing in a rectangular tank based on SPH simulation. Applied Ocean Research, 47:241-254.

[7]Chen QH, Lin TL, Ren HL, et al., 2019. Novel potential energy regeneration systems for hybrid hydraulic excavators. Mathematics and Computers in Simulation, 163:130-145.

[8]Conte M, Genovese A, Ortenzi F, et al., 2014. Hybrid battery-supercapacitor storage for an electric forklift: a life-cycle cost assessment. Journal of Applied Electrochemistry, 44(4):523-532.

[9]Dong HC, Jin XN, Lou YB, et al., 2014. Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter. Journal of Power Sources, 271:114-123.

[10]EIA (U.S. Energy Information Administration), 2017. International Energy Outlook. U.S. Department of Energy, Washington, USA.

[11]Enang W, Bannister C, 2017. Modelling and control of hybrid electric vehicles (a comprehensive review). Renewable and Sustainable Energy Reviews, 74:1210-1239.

[12]Ferreira FJTE, de Almeida AT, 2018. Reducing energy costs in electric-motor-driven systems: savings through output power reduction and energy regeneration. IEEE Industry Applications Magazine, 24(1):84-97.

[13]Filla R, 2009. Hybrid power systems for construction machinery: aspects of system design and operability of wheel loaders. ASME International Mechanical Engineering Congress and Exposition, p.611-620.

[14]Ge L, Quan L, Zhang XG, et al., 2017. Efficiency improvement and evaluation of electric hydraulic excavator with speed and displacement variable pump. Energy Conversion and Management, 150:62-71.

[15]Ge L, Quan L, Li YW, et al., 2018. A novel hydraulic excavator boom driving system with high efficiency and potential energy regeneration capability. Energy Conversion and Management, 166:308-317.

[16]Guha A, Patra A, 2018. State of health estimation of lithium-ion batteries using capacity fade and internal resistance growth models. IEEE Transactions on Transportation Electrification, 4(1):135-146.

[17]Hannan MA, Azidin FA, Mohamed A, 2014. Hybrid electric vehicles and their challenges: a review. Renewable and Sustainable Energy Reviews, 29:135-150.

[18]Hannan MA, Hoque MM, Mohamed A, et al., 2017. Review of energy storage systems for electric vehicle applications: issues and challenges. Renewable and Sustainable Energy Reviews, 69:771-789.

[19]He XY, Jiang Y, 2018. Review of hybrid electric systems for construction machinery. Automation in Construction, 92: 286-296.

[20]Hosseinzadeh E, Rokni M, Advani SG, et al., 2013. Performance simulation and analysis of a fuel cell/battery hybrid forklift truck. International Journal of Hydrogen Energy, 38(11):4241-4249.

[21]Hsieh CY, Nguyen XV, Weng FB, et al., 2016. Design and performance evaluation of a PEM fuel cell–lithium battery–supercapacitor hybrid power source for electric forklifts. International of Electrochemical Science, 11(12):10449-10461.

[22]Hu QY, Huang C, Qiao LP, et al., 2019. Speciated PM composition and gas and particle emission factors for diesel construction machinery in China. Aerosol and Air Quality Research, 19(8):1820-1833.

[23]Hu XS, Jiang JC, Cao DP, et al., 2016. Battery health prognosis for electric vehicles using sample entropy and sparse Bayesian predictive modeling. IEEE Transactions on Industrial Electronics, 63(4):2645-2656.

[24]Hu XS, Xu L, Lin XK, et al., 2020. Battery lifetime prognostics. Joule, 4(2):310-346.

[25]Itani K, de Bernardinis A, Khatir Z, et al., 2016. Comparison between two braking control methods integrating energy recovery for a two-wheel front driven electric vehicle. Energy Conversion and Management, 122:330-343.

[26]Jacobs S, Hectors D, Henrotte F, et al., 2009. Magnetic material optimization for hybrid vehicle PMSM drives. World Electric Vehicle Journal, 3(4):875-883.

[27]Ke J, Li B, Zhang XC, et al., 2020. Design of a new battery excavator and the matching of the parameters of the power system. Machinery Design & Manufacture, (6):113-116 (in Chinese).

[28]KHL, 2020. Yellow Table 2020. KHL Group. https://www.khl.com/premium-content/yellow-table-2020/144712.article

[29]Krasucki J, Rostkowski A, Gozdek Ł, et al., 2009. Control strategy of the hybrid drive for vehicle mounted aerial work platform. Automation in Construction, 18(2):130-138.

[30]Kumar L, Jain S, 2014. Electric propulsion system for electric vehicular technology: a review. Renewable and Sustainable Energy Reviews, 29:924-940.

[31]Li JS, Zhao JY, Zhang XC, 2020. A novel energy recovery system integrating flywheel and flow regeneration for a hydraulic excavator boom system. Energies, 13(2):315.

[32]Li TY, Zhao DX, Kang HL, et al., 2013. Parameter matching of parallel hybrid power loaders. Journal of Jilin University (Engineering and Technology Edition), 43(4):916-921 (in Chinese).

[33]Lin TL, Huang WP, Ren HL, et al., 2016. New compound energy regeneration system and control strategy for hybrid hydraulic excavators. Automation in Construction, 68:11-20.

[34]Lin TL, Wang L, Huang WP, et al., 2017a. Performance analysis of an automatic idle speed control system with a hydraulic accumulator for pure electric construction machinery. Automation in Construction, 84:184-194.

[35]Lin TL, Chen Q, Ren HL, et al., 2017b. Review of boom potential energy regeneration technology for hydraulic construction machinery. Renewable and Sustainable Energy Reviews, 79:358-371.

[36]Lin TL, Lin YZ, Ren HL, et al., 2020. Development and key technologies of pure electric construction machinery. Renewable and Sustainable Energy Reviews, 132: 110080.

[37]Liu DT, Pang JY, Zhou JB, et al., 2013. Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression. Microelectronics Reliability, 53(6):832-839.

[38]Liu DT, Zhou JB, Pan DW, et al., 2015. Lithium-ion battery remaining useful life estimation with an optimized relevance vector machine algorithm with incremental learning. Measurement, 63:143-151.

[39]Lü XQ, Qu Y, Wang YD, et al., 2018. A comprehensive review on hybrid power system for PEMFC-HEV: issues and strategies. Energy Conversion and Management, 171: 1273-1291.

[40]Ma GJ, Zhang Y, Cheng C, et al., 2019. Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network. Applied Energy, 253:113626.

[41]Ma J, Shang PC, Zou XY, et al., 2021. A hybrid transfer learning scheme for remaining useful life prediction and cycle life test optimization of different formulation Li-ion power batteries. Applied Energy, 282:116167.

[42]MEE (Ministry of Ecology and Environment of the People’s Republic of China), 2019. China Vehicle Environmental Management Annual Report. MEE, Beijing, China (in Chinese).

[43]Miao JZ, Guo ZW, Yuan CQ, 2017. Effect of textured surface on the friction performance of cylinder liner-piston ring system in the internal combustion engine. Tribology, 37(4):465-471 (in Chinese).

[44]Minav TA, Pyrhonen JJ, Laurila LIE, 2012a. Permanent magnet synchronous machine sizing: effect on the energy efficiency of an electro-hydraulic forklift. IEEE Transactions on Industrial Electronics, 59(6):2466-2474.

[45]Minav TA, Virtanen A, Laurila L, et al., 2012b. Storage of energy recovered from an industrial forklift. Automation in Construction, 22:506-515.

[46]Mourelatos ZP, 2001. A crankshaft system model for structural dynamic analysis of internal combustion engines. Computers & Structures, 79(20-21):2009-2027.

[47]Ng SSY, Xing YJ, Tsui KL, 2014. A naive Bayes model for robust remaining useful life prediction of lithium-ion battery. Applied Energy, 118:114-123.

[48]Ning G, White RE, Popov BN, 2006. A generalized cycle life model of rechargeable Li-ion batteries. Electrochimica Acta, 51(10):2012-2022.

[49]Nuhic A, Terzimehic T, Soczka-Guth T, et al., 2013. Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods. Journal of Power Sources, 239:680-688.

[50]Ovrum E, Bergh TF, 2015. Modelling lithium-ion battery hybrid ship crane operation. Applied Energy, 152:162-172.

[51]Paul T, Mesbahi T, Durand S, et al., 2020. Sizing of lithium-ion battery/supercapacitor hybrid energy storage system for forklift vehicle. Energies, 13(17):4518.

[52]Rao ZH, Wang SF, 2011. A review of power battery thermal energy management. Renewable and Sustainable Energy Reviews, 15(9):4554-4571.

[53]Saha B, Goebel K, 2007. Battery Data Set, NASA Ames Prognostics Data Repository. NASA Ames Research Center, Moffett Field, USA. https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/#battery

[54]Saha B, Goebel K, Poll S, et al., 2009. Prognostics methods for battery health monitoring using a Bayesian framework. IEEE Transactions on Instrumentation and Measurement, 58(2):291-296.

[55]Severson KA, Attia PM, Jin N, et al., 2019. Data-driven prediction of battery cycle life before capacity degradation. Nature Energy, 4(5):383-391.

[56]Song PX, Lei YL, Fu Y, 2020. Multi-objective optimization and matching of power source for PHEV based on genetic algorithm. Energies, 13(5):1127.

[57]Sun H, Jing JQ, 2010. Research on the system configuration and energy control strategy for parallel hydraulic hybrid loader. Automation in Construction, 19(2):213-220.

[58]Sun H, Yang LF, Jing JQ, et al., 2011. Control strategy of hydraulic/electric synergy system in heavy hybrid vehicles. Energy Conversion and Management, 52(1):668-674.

[59]Sun Y, 2020. Research on Parameter Matching and Optimization of Hybrid Electric Vehicle. MS Thesis, Shenyang Ligong University, Shenyang, China (in Chinese).

[60]Tie SF, Tan CW, 2013. A review of energy sources and energy management system in electric vehicles. Renewable and Sustainable Energy Reviews, 20:82-102.

[61]Tong SG, He S, Tong ZM, et al., 2018. Dynamic and co-simulation of forklift frame and multi-objective optimization. Journal of Machine Design, 35(12):7-11 (in Chinese).

[62]Tong SG, Miao JZ, Tong ZM, et al., 2019. Finite element analysis and optimization for static and dynamic characteristics of diesel forklift frame. Journal of Zhejiang University (Engineering Science), 53(9):1637-1646 (in Chinese).

[63]Tong ZM, Li Y, Westerdahl D, et al., 2019. Exploring the effects of ventilation practices in mitigating in-vehicle exposure to traffic-related air pollutants in China. Environment International, 127:773-784.

[64]Tong ZM, Liu H, Ma JF, et al., 2020a. Investigating the performance of a super high-head Francis turbine under variable discharge conditions using numerical and experimental approach. Energies, 13(15):3868.

[65]Tong ZM, Xin JG, Tong SG, et al., 2020b. Internal flow structure, fault detection, and performance optimization of centrifugal pumps. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 21(2):85-117.

[66]Tong ZM, Wu SS, Tong SG, et al., 2020c. Energy-saving technologies for construction machinery: a review of electro-hydraulic pump-valve coordinated system. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 21(5):331-349.

[67]Tong ZM, Cheng ZW, Tong SG, 2021. A review on the development of compressed air energy storage in China: technical and economic challenges to commercialization. Renewable and Sustainable Energy Reviews, 135: 110178.

[68]Wang EH, Guo D, Yang FY, 2015. System design and energetic characterization of a four-wheel-driven series– parallel hybrid electric powertrain for heavy-duty applications. Energy Conversion and Management, 106:1264-1275.

[69]Wang H, Huang YJ, Khajepour A, et al., 2016. Model predictive control-based energy management strategy for a series hybrid electric tracked vehicle. Applied Energy, 182:105-114.

[70]Wang HM, Wang QF, Hu BZ, 2017. A review of developments in energy storage systems for hybrid excavators. Automation in Construction, 80:1-10.

[71]Wang JY, Cai L, Wang YW, et al., 2013. Modeling and optimization matching on drive system of a coaxial parallel-type hybrid-power gas engine heat pump. Energy, 55: 1196-1204.

[72]Wang T, Tseng KJ, Zhao JY, et al., 2014. Thermal investigation of lithium-ion battery module with different cell arrangement structures and forced air-cooling strategies. Applied Energy, 134:229-238.

[73]Wang W, 2020. Research on Matching and Control Strategy of Hydrogen Fuel Cell Hybrid Power System for Vehicle. MS Thesis, North China University of Water Resources and Electric Power, Zhengzhou, China (in Chinese).

[74]Wu J, Zhang CB, Chen ZH, 2016. An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks. Applied Energy, 173:134-140.

[75]Xiao S, 2020. Research on Parameter Matching and Energy Management Strategy of Powertrain of Plug-in Hybrid Electric Vehicle. MS Thesis, Zhejiang University of Technology, Hangzhou, China (in Chinese).

[76]Xiong R, Sun FC, Chen Z, et al., 2014. A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion polymer battery in electric vehicles. Applied Energy, 113:463-476.

[77]Xiong R, Li LL, Tian JP, 2018. Towards a smarter battery management system: a critical review on battery state of health monitoring methods. Journal of Power Sources, 405:18-29.

[78]Xu QW, Mao YQ, Zhao M, et al., 2018. A hybrid electric vehicle dynamic optimization energy management strategy based on a compound-structured permanent-magnet motor. Energies, 11(9):2212.

[79]Yang FF, Zhang SH, Li WH, et al., 2020. State-of-charge estimation of lithium-ion batteries using LSTM and UKF. Energy, 201:117664.

[80]Yi HS, Jeong JB, Cha SW, et al., 2018. Optimal component sizing of fuel cell-battery excavator based on workload. International Journal of Precision Engineering and Manufacturing-Green Technology, 5(1):103-110.

[81]Zhang JZ, Lv C, Qiu MZ, et al., 2013. Braking energy regeneration control of a fuel cell hybrid electric bus. Energy Conversion and Management, 76:1117-1124.

[82]Zhang QG, Tong ZM, Tong SG, 2020. Effect of cathode recirculation on high potential limitation and self-humidification of hydrogen fuel cell system. Journal of Power Sources, 468:228388.

[83]Zhang WD, Fan L, Tong ZM, et al., 2019. Stable Li-metal deposition via a 3D nanodiamond matrix with ultrahigh Young’s modulus. Small Methods, 3(11):1900325.

[84]Zhang YZ, Xiong R, He HW, et al., 2018. Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries. IEEE Transactions on Vehicular Technology, 67(7):5695-5705.

[85]Zhang ZX, Si XS, Hu CH, et al., 2018. Degradation data analysis and remaining useful life estimation: a review on Wiener-process-based methods. European Journal of Operational Research, 271(3):775-796.

[86]Zolot M, Pesaran AA, Mihalic M, 2002. Thermal Evaluation of Toyota Prius Battery Pack. SAE Technical Paper 2002-01-1962, SAE International, USA.

[87]Zou HM, Wang W, Zhang GY, et al., 2016. Experimental investigation on an integrated thermal management system with heat pipe heat exchanger for electric vehicle. Energy Conversion and Management, 118:88-95.