Power-split hybrid electric vehicle (HEV) provides two power paths between the internal combustion engine (ICE) and energy storage system (ESS) through gearing and composing an electrically variable transmision (EVT). EVT allows ICE to opertare independently from vehicle speed all the time. Therefore, the ICE can operate in the efficient region of its characteristic brake specific fuel consumption (BSFC) map. If the most ICE operating points produce more energy than the demanded energy by the driver, the extra energy will be stored in ESS and used later. If the most ICE operating points do not meet the demanded energy, the ESS will add more energy to the wheels through electric machines (EMs).
In the second part of this reseach, two-mode power-split General Motors Allison Hybrid System II (GM AHS_II) is constructed. The GM AHS_II powertrain is capable of operating in input-split or compound-split EVT modes as well as four fixed gear configurations. Power-split architecture can advantageously combine traditional series and parallel power paths.
Beside dynamic programming (DP), Stochastic dynamic programming (SPD) optimal solutions, or Heuristic rule-base methods, a simple Fuzzy Logic Control (FLC) for IC engine and an intelligent supervisory control strategy are suggested, and ICE speed transition limit are also considered in the third part of this research. This study focuses on input-split and compound-split modes in The GM AHS_II powertrain. FLC with optimal thresholds and transitions have been employed to develop this design problem. Using looking forward control algorithms to implement power-split HEV supervisory control strategy can keep ICE operating points in efficient region, and maintain state of charge (SOC) of ESS in optimal range. FLC strategy helps ICE to operate in higher efficiency region 22.7% and to improve fuel economy 27.8% comparing with conventional vehicle.

Power-split hybrid electric vehicle (HEV) provides two power paths between the internal combustion engine (ICE) and energy storage system (ESS) through gearing and composing an electrically variable transmision (EVT). EVT allows ICE to opertare independently from vehicle speed all the time. Therefore, the ICE can operate in the efficient region of its characteristic brake specific fuel consumption (BSFC) map. If the most ICE operating points produce more energy than the demanded energy by the driver, the extra energy will be stored in ESS and used later. If the most ICE operating points do not meet the demanded energy, the ESS will add more energy to the wheels through electric machines (EMs).
In the second part of this reseach, two-mode power-split General Motors Allison Hybrid System II (GM AHS_II) is constructed. The GM AHS_II powertrain is capable of operating in input-split or compound-split EVT modes as well as four fixed gear configurations. Power-split architecture can advantageously combine traditional series and parallel power paths.
Beside dynamic programming (DP), Stochastic dynamic programming (SPD) optimal solutions, or Heuristic rule-base methods, a simple Fuzzy Logic Control (FLC) for IC engine and an intelligent supervisory control strategy are suggested, and ICE speed transition limit are also considered in the third part of this research. This study focuses on input-split and compound-split modes in The GM AHS_II powertrain. FLC with optimal thresholds and transitions have been employed to develop this design problem. Using looking forward control algorithms to implement power-split HEV supervisory control strategy can keep ICE operating points in efficient region, and maintain state of charge (SOC) of ESS in optimal range. FLC strategy helps ICE to operate in higher efficiency region 22.7% and to improve fuel economy 27.8% comparing with conventional vehicle.

Table of Contents

ABSTRACT i
Acknowledgements iii
Table of Contents iv
List of Figures vi
List of Tables viii
Chapter 1 INTRODUCTION 1
1.1 Motivation 1
1.2 Background 3
1.2.1 Series Hybrid Electric Vehicle 4
1.2.2 Parallel Hybrid Electric Vehicle 4
1.2.3 Power-split Hybrid Electric Vehicle 5
1.2.3.1 Single-mode power-split 5
1.2.3.2 Two-Mode power-split 6
1.2.4 Control Strategy Review 7
1.3 Contribution 8
1.4 Thesis structure 8
Chapter 2 DYNAMIC MODELING OF GM FRONT-WHEEL DRIVE POWER-SPLIT HYBRID VEHICLE 9
2.1 Kinematic Study of the GM Front-Wheel Drive Two-Mode Hybrid Transmission 9
2.1.1 Simple planetary gear set power-split device 11
2.1.2 Compound Power-Split HEV 12
2.2 Modes of a GM Front-Wheel Drive Transmission 13
2.2.1 The Mode EVT-1 13
2.2.2 The Mode EVT-2 14
2.2.3 The 1st fixed gear (FG-1) 15
2.2.4 The 2nd fixed gear (FG-2) 16
2.2.5 The 3rd fixed gear (FG-3) 17
2.2.6 The 4th fixed gear (FG-4) 18
2.3 Summary 19
Chapter 3 IMPLEMENTABLE CONTROL DESIGN OF THE GM TWO-MODE POWER SPLIT HYBRID VEHICLE 21
3.1 Diver 22
3.2 The IC engine 22
3.3 Motor / Generator 24
3.4 Energy Storage System 26
3.5 Mechanical Powertrain 27
3.5.1.1 Mode EVT-1 28
3.5.2 Mode EVT-2: 30
3.6 Controller 33
3.6.1 Design ICE controller 33
3.6.1.1 Design IC engine torque and speed 33
3.6.1.2 Shift mode algorithm 38
3.6.1.3 Engine on/off module 38
3.6.2 Design electric machine torques 39
3.6.2.1 Design electric machine torques for mode 1 40
3.6.2.2 Design electric machine torques for mode 2 41
Chapter 4 SIMULATION RESULTS AND ANALYSES 43
4.1 Vehicle performance results: 44
4.2 ICE operation results: 47
4.3 EMs operation results: 53
Chapter 5 CONCLUSIONS AND FUTURE WORKS 55
5.1 Conclusions 55
5.2 Future works 55
REFERENCES 56
List of Symbols 59

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