In order to reduce the peak torque of vehicles under frequent start-stop conditions and to address the shortcomings of traditional fuel-powered cars and electric vehicles, electric and hydraulic drive vehicles (MH-HEV) with multiple mode switching and brake energy recovery is proposed. The parameter matching of the power transmission system is completed, and a rule-based driving control strategy for the MH-HEV is established, enabling dynamic mode switching and energy management. A comparison with AME Sim-certified pure electric vehicles validates the feasibility and superiority of the MH-HEV. Furthermore, a fuzzy controller based on motor speed and accumulator pressure difference is proposed to optimize the logic threshold control strategy, reducing the peak torque of the motor while increasing the battery’s state of charge-SOC. This control strategy is highly suitable for the MH-HEV under frequent start-stop conditions.
ZhangXHLiuHJMaoCY, et al. The intelligent engine start-stop trigger system based on the actual road running status. PLoS One2021; 16: e0253201.
2.
RydbergKE. Hydraulic hybrids - the new generation of energy efficient drives. In: 7th international conference on fluid power transmission and control (ICFP 2009), Hangzhou, China, 7–10 April 2009, pp.899–905. World Publishing Corporation.
3.
MinavTAPyrhönenJJLaurilaLIE. Permanent magnet synchronous machine sizing: effect on the energy efficiency of an electro-hydraulic forklift. IEEE Trans Ind Electron2012; 59: 2466–2474.
4.
ZhaoWZZhouXCWangCY, et al. Energy analysis and optimization design of vehicle electro-hydraulic compound steering system. Appl Energy2019; 255: 113713.
5.
PugiLPagliaiMNocentiniA, et al. Design of a hydraulic servo-actuation fed by a regenerative braking system. Appl Energy2017; 187: 96–115.
6.
OuddahNAdouaneL.Hybrid energy management strategy based on fuzzy logic and optimal control for tri-actuated powertrain system. IEEE Trans Veh Technol2019; 68: 5343–5355.
7.
SunHZWangHZhaoXC.Line braking torque allocation scheme for minimal braking loss of four-wheel-drive electric vehicles. IEEE Trans Veh Technol2019; 68: 180–192.
8.
WuBLinCCFilipiZ, et al. Optimal power management for a hydraulic hybrid delivery truck. Veh Syst Dyn2004; 42: 23–40.
9.
TirkolaeeEBMahdaviIEsfahaniMMS, et al. A hybrid augmented ant colony optimization for the multi-trip capacitated arc routing problem under fuzzy demands for urban solid waste management. Waste Manage Res2020; 38: 156–172.
10.
YangJZhangTZHongJC, et al. Research on driving control strategy and Fuzzy logic optimization of a novel mechatronics-electro-hydraulic power coupling electric vehicle. Energy2021; 233: 121221.
11.
ZhangZZhangTZHongJC, et al. Energy management strategy of a novel electric-hydraulic hybrid vehicle based on driving style recognition. Sustain Energy Fuels2023; 7: 420–430.
12.
JiaQXZhangHXZhangYJ, et al. Parameter matching and performance analysis of a master-slave electro-hydraulic hybrid electric vehicle. Processes2022; 10: 1664.
13.
ChenYHZhangTZZhangHX, et al. Study on the effect of hydraulic energy storage on the performance of electro-mechanical-hydraulic power-coupled electric vehicles. Electronics2022; 11: 3344.
14.
LiLZhangTZHongJC, et al. Energy management strategy of a novel mechanical-electro-hydraulic power coupling electric vehicle under smooth switching conditions. Energy Rep2022; 8: 8002–8016.
15.
YangJLiuBZhangTZ, et al. Application of energy conversion and integration technologies based on electro-hydraulic hybrid power systems: a review. Energy Convers Manag2022; 272: 116372.
16.
SunYZhangHXYangJ.The structure principle and dynamic characteristics of mechanical-electric-hydraulic dynamic coupling drive system and its application in electric vehicle. Electronics2022; 11: 1601.
17.
WangBChengFRTangXZ.Research on the complete vehicle control strategy of the composite accumulator hydraulic hybrid power system. J Energy Storage2023; 74: 109384.
18.
ChenHZhangTZZhangHX, et al. Power parametric optimization of an electro-hydraulic integrated drive system for power-carrying vehicles based on the Taguchi method. Processes2022; 10: 867.
19.
YangJLiuBZhangTZ, et al. Multi-parameter controlled mechatronics-electro-hydraulic power coupling electric vehicle based on active energy regulation. Energy2023; 263: 125877.
20.
GuanXJinHDuanCG, et al. A pedal map setting method for considering the controllability of vehicle speed. SAE Int J Commer Veh2021; 14: 159–171.
21.
HuiS.Multi-objective optimization for hydraulic hybrid vehicle based on adaptive simulated annealing genetic algorithm. Eng Appl Artif Intell2010; 23: 27–33.
22.
Van der StratenPWiegmansBWSchellingAB. Enablers and barriers to the adoption of alternatively powered buses. Transp Rev2007; 27: 679–698.
23.
HarmonFGFrankAAChattotJJ.Conceptual design and simulation of a small hybrid-electric unmanned aerial vehicle. J Aircr2006; 43: 1490–1498.
