REFERENCES

1. Saiteja P, Ashok B. Critical review on structural architecture, energy control strategies and development process towards optimal energy management in hybrid vehicles. Energy Reviews 2022;157:112038.

2. Zhang F, Hu X, Langari R, Cao D. Energy management strategies of connected hevs and phevs: Recent progress and outlook. Progress in Energy and Combustion Science 2019;73:235-56.

3. Li L, Coskun S, Wang J, Fan Y, Zhang F, Langari R. Velocity prediction based on vehicle lateral risk assessment and traffic flow: A brief review and application examples. Energies 2021;14:3431.

4. Yadlapalli RT, Kotapati A, Kandipati R, Koritala CS. A review on energy efficient technologies for electric vehicle applications. J Energy Storage 2022;50:104212.

5. Ruan S, Ma Y, Yang N, Xiang C, Li X. Real-time energy-saving control for HEVs in car-following scenario with a double explicit MPC approach. Energy 2022;247:123265.

6. Hu X, Wang H, Tang X. Cyber-physical control for energy-saving vehicle following with connectivity. IEEE Trans Ind Electron 2017;64:8578-87.

7. Kannan Chidambaram, Bragadeshwaran Ashok, Rajasekar Vignesh, Chirag Deepak, Rathan Ramesh, Tharun MV Narendhra, Kaisan Muhammad Usman, and Chellapan Kavitha. Critical analysis on the implementation barriers and consumer perception toward future electric mobility. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, page 09544070221080349, 2022.

8. Liu Z, Lee H, Khyam M, et al. 6g for vehicle-to-everything (v2x) communications: Enabling technologies, challenges, and opportunities. arXiv preprint arXiv: 2012.07753, 2020.

9. Prathiba SB, Raja G, Kumar N. Intelligent cooperative collision avoidance at overtaking and lane changing maneuver in 6g-v2x communications. IEEE Trans Veh Technol 2022;71:112-22.

10. Yang C, Zha M, Wang W, Liu K, Xiang C. Efficient energy management strategy for hybrid electric vehicles/plug-in hybrid electric vehicles: review and recent advances under intelligent transportation system. IET Intelligent Transport Systems 2020;14:702-11.

11. He H, Wang Y, Han R, Han M, Bai Y, Liu Q. An improved mpc-based energy management strategy for hybrid vehicles using v2v and v2i communications. Energy 2021;225:120273.

12. Zhao Z, Tang P, Li H. Generation, screening, and optimization of powertrain configurations for power-split hybrid electric vehicle: A comprehensive overview. IEEE Trans Transp Electrific 2022;8:325-44.

13. Kannan C, Vignesh R, Karthick C, Ashok B. Critical review towards thermal management systems of lithium-ion batteries in electric vehicle with its electronic control unit and assessment tools. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 2021;235: 1783-807.

14. Zhang F, Wang L, Coskun S, Pang H, Cui Y, Xi J. Energy management strategies for hybrid electric vehicles: Review, classification, comparison, and outlook. Energies 2020;13:3352.

15. Vignesh R, Ashok B. Deep neural network model-based global calibration scheme for split injection control map to enhance the characteristics of biofuel powered engine. Energy Conversion and Management 2021;249:114875.

16. Omanovic A, Zsiga N, Soltic P, Onder C. Optimal degree of hybridization for spark-ignited engines with optional variable valve timings. Energies 2021;14:8151.

17. Onori S, Serrao L, Rizzoni G. Hybrid electric vehicles: Energy management strategies. 2016.

18. Liu T, Tan W, Tang X, Zhang J, Xing Y, Cao D. Driving conditions-driven energy management strategies for hybrid electric vehicles: A review. Renewable and Sustainable Energy Reviews 2021;151:111521.

19. Paganelli G. Design and control of a parallel hybrid car with electric and thermal powertrain. M. Sc 1999.

20. Shi D, Liu S, Cai Y, Wang S, Li H, Chen L. Pontryagin's minimum principle based fuzzy adaptive energy management for hybrid electric vehicle using real-time traffic information. Applied Energy 2021;286:116467.

21. Zhang F, Xiao L, Coskun S, et al. Comparative study of energy management in parallel hybrid electric vehicles considering battery ageing. Energy 2022:123219.

22. Zhang F, Xi J, Langari R. Real-time energy management strategy based on velocity forecasts using v2v and v2i communications. IEEE Trans Intell Transport Syst 2017;18:416-30.

23. Deshpande SR, Jung D, Bauer L, Canova M. Integrated approximate dynamic programming and equivalent consumption minimization strategy for eco-driving in a connected and automated vehicle. IEEE Trans Veh Technol 2021;70:11204-15.

24. Wang W, Guo X, Yang C, et al. A multi-objective optimization energy management strategy for power split hev based on velocity prediction. Energy 2022;238:121714.

25. Chen Z, Liu Y, Ye M, Zhang Y, Chen Z, Li G. A survey on key techniques and development perspectives of equivalent consumption minimisation strategy for hybrid electric vehicles. Renewable and Sustainable Energy Reviews 2021;151:111607.

26. Guanetti J, Kim Y, Borrelli F. Control of connected and automated vehicles: state of the art and future challenges. Annual Reviews in Control 2018;45:18-40.

27. Homchaudhuri B, Lin R, Pisu P. Hierarchical control strategies for energy management of connected hybrid electric vehicles in urban roads. Transportation Research Part C: Emerging Technologies 2016;62:70-86.

28. Pipes LA. An operational analysis of traffic dynamics. Journal of Applied Physics 1953;24:274-81.

29. Chandler RE, Herman R, Montroll EW. Traffic dynamics: studies in car following. Operations Research 1958;6:165-84.

30. Treiber M, Hennecke A, Helbing D. Congested traffic states in empirical observations and microscopic simulations. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 2000;62:1805-24.

31. Gazis DC, Herman R, Rothery RW. Nonlinear follow-the-leader models of traffic flow. Operations Research 1961;9:545-67.

32. Bando M, Hasebe K, Nakayama A, Shibata A, Sugiyama Y. Dynamical model of traffic congestion and numerical simulation. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 1995;51:1035-42.

33. Ioannou P, Chien C. Autonomous intelligent cruise control. IEEE Trans Veh Technol 1993;42:657-72.

34. Fellendorf M, Vortisch P. Microscopic traffic flow simulator vissim. In: Barceló J, editor. Fundamentals of Traffic Simulation. New York: Springer; 2010. pp. 63-93.

35. Li G, Gorges D. Ecological adaptive cruise control and energy management strategy for hybrid electric vehicles based on heuristic dynamic programming. IEEE Trans Intell Transport Syst 2019;20:3526-35.

36. Vajedi M, Azad NL. Ecological adaptive cruise controller for plug-in hybrid electric vehicles using nonlinear model predictive control. IEEE Trans Intell Transport Syst 2016;17:113-22.

37. Jia Y, Jibrin R, Gorges D. Energy-optimal adaptive cruise control for electric vehicles based on linear and nonlinear model predictive control. IEEE Trans Veh Technol 2020;69:14173-87.

38. Ma G, Ghasemi M, Song X. Integrated powertrain energy management and vehicle coordination for multiple connected hybrid electric vehicles. IEEE Trans Veh Technol 2018;67:2893-9.

39. Li J, Zhou Q, He Y, Williams H, Xu H, Lu G. Distributed cooperative energy management system of connected hybrid electric vehicles with personalized non-stationary inference. IEEE Trans Transp Electrific 2022;8:2996-3007.

40. Ma F, Yang Y, Wang J, et al. Predictive energy-saving optimization based on nonlinear model predictive control for cooperative connected vehicles platoon with v2v communication. Energy 2019;189:116120.

41. Xu L, Zhuang W, Yin G, Bian C. Energy-oriented cruising strategy design of vehicle platoon considering communication delay and disturbance. Transportation Research Part C: Emerging Technologies 2019;107:34-53.

42. Syed FU, Kuang ML, Czubay J, Ying H. Derivation and experimental validation of a power-split hybrid electric vehicle model. IEEE Trans Veh Technol 2006;55:1731-47.

43. Liu J, Peng H. Modeling and control of a power-split hybrid vehicle. IEEE Trans Contr Syst Technol 2008;16:1242-51.

44. Yang Y, Hu X, Pei H, Peng Z. Comparison of power-split and parallel hybrid powertrain architectures with a single electric machine: Dynamic programming approach. Applied Energy 2016;168:683-90.

45. Sun C, Hu X, Moura SJ, Sun F. Velocity predictors for predictive energy management in hybrid electric vehicles. IEEE Trans Contr Syst Technol 2015;23:1197-204.

46. Sun C, Sun F, He H. Investigating adaptive-ecms with velocity forecast ability for hybrid electric vehicles. Applied Energy 2017;185:1644-53.

47. Hu X, Li S, Peng H. A comparative study of equivalent circuit models for li-ion batteries. Journal of Power Sources 2012;198:359-67.

48. Moura SJ, Chaturvedi NA, Krstić M. Adaptive partial differential equation observer for battery state-of-charge/state-of-health estimation via an electrochemical model. Journal of Dynamic Systems, Measurement, and Control 2014;136:011015.

49. Muta K, Yamazaki M, Tokieda J. Development of new-generation hybrid system ths ii-drastic improvement of power performance and fuel economy. Technical report, 2004.

50. Rousseau A, Kwon J, Sharer P, Pagerit S, Duoba M. Integrating data, performing quality assurance, and validating the vehicle model for the 2004 prius using psat. Technical report, SAE Technical Paper, 2006.

51. Treiber M, Kesting A. Traffic flow dynamics. Traffic Flow Dynamics: Data, Models and Simulation, Springer-Verlag Berlin Heidelberg 2013; doi: 10.1007/978-3-642-32460-4.

52. Gipps P. A behavioural car-following model for computer simulation. Transportation Research Part B: Methodological 1981;15:105-11.

53. Brackstone M, Mcdonald M. Car-following: a historical review. Transportation Research Part F: Traffic Psychology and Behaviour 1999;2:181-96.

54. Jiang R, Wu Q, Zhu Z. Full velocity difference model for a car-following theory. Phys Rev E Stat Nonlin Soft Matter Phys 2001;64:017101.

55. Treiterer J, Myers J. The hysteresis phenomenon in traffic flow. Transportation and traffic theory, 6: 13-38 1974;6:13-38.

56. Rahman M, Chowdhury M, Dey K, Islam MR, Khan T. Evaluation of driver car-following behavior models for cooperative adaptive cruise control systems. Transportation Research Record 2017;2622:84-95.

Complex Engineering Systems
ISSN 2770-6249 (Online)

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/