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Stability Analysis and Control of Powertrain for New Energy Vehicles 2022 ed. [Kõva köide]

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  • Formaat: Hardback, 141 pages, kõrgus x laius: 235x155 mm, kaal: 401 g, 69 Illustrations, color; 33 Illustrations, black and white; VIII, 141 p. 102 illus., 69 illus. in color., 1 Hardback
  • Sari: Key Technologies on New Energy Vehicles
  • Ilmumisaeg: 14-Sep-2021
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811650500
  • ISBN-13: 9789811650505
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  • Kõva köide
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Stability Analysis and Control of Powertrain for New Energy Vehicles 2022 ed.Suurem pilt
  • Formaat: Hardback, 141 pages, kõrgus x laius: 235x155 mm, kaal: 401 g, 69 Illustrations, color; 33 Illustrations, black and white; VIII, 141 p. 102 illus., 69 illus. in color., 1 Hardback
  • Sari: Key Technologies on New Energy Vehicles
  • Ilmumisaeg: 14-Sep-2021
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811650500
  • ISBN-13: 9789811650505
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789811650505.html
Märksõnad:
This book introduces the application of nonlinear dynamics theory for driving system of electric vehicle and hybrid electric vehicle respectively. It establishes the dynamic models for driving system of electric vehicle and hybrid electric vehicle under various working conditions. And the nonlinear dynamics theory is applied to the qualitative analysis and quantitative calculation for the models. The theoretical analysis results are applied to guide the optimization of control strategies. In the end of each chapter, corresponding simulations or experiments are provided to verify the corresponding instances which are carefully selected. This book will give some guidance to readers when they deal with nonlinear dynamics problems of vehicles in the future and provide theoretical bases for the further study of the nonlinear dynamics for driving system of electric vehicle and hybrid electric vehicle.

The book is written for engineer of electric vehicle and hybrid vehicle, teachers and students majoring in automobile and automation.

1 Stability Analysis for EV Powertrain
1(18)
1.1 Two-mass Dynamic Model of EV Powertrain
1(4)
1.1.1 Simplified Model of EV Powertrain
1(2)
1.1.2 Derivation of Electromagnetic Torque
3(2)
1.1.3 Dimensionless Model of EV Powertrain
5(1)
1.2 Analysis of Equilibrium Point
5(3)
1.2.1 Derivation of Equilibrium Point
5(1)
1.2.2 Analysis of Equilibrium Point
6(2)
1.3 Simulation and Results
8(8)
1.3.1 Influence of Load Excitation Amplitude
8(2)
1.3.2 Influence of Torsional Damping Gradient
10(3)
1.3.3 Influence of Inertial Load Jumping
13(3)
1.4 Conclusion
16(3)
2 Control Methodology of Stability Optimization for EV Powertrain
19(30)
2.1 Control Methodology Optimization of Torque Control Mode
19(13)
2.1.1 Torque Control Model of EV Powertrain
19(3)
2.1.2 Optimization of Torque Control Methodology
22(5)
2.1.3 Experiment and Results
27(4)
2.1.4 Conclusion
31(1)
2.2 Control Methodology Optimization of Speed Control Mode
32(17)
2.2.1 Speed Control Model of EV Powertrain
32(3)
2.2.2 Optimization of Speed Control Methodology
35(2)
2.2.3 Simulation and Results
37(9)
2.2.4 Conclusion
46(3)
3 Stability Analysis for HEV Powertrain
49(26)
3.1 Stability Analysis for HEV Powertrain
49(13)
3.1.1 Two-mass Dynamic Model of HEV Powertrain
49(4)
3.1.2 Analysis of Equilibrium Point
53(2)
3.1.3 Simulation and Results
55(6)
3.1.4 Conclusion
61(1)
3.2 Determination of Stability Domain
62(13)
3.2.1 Three-mass Dynamic Model of HEV Powertrain
62(3)
3.2.2 Theoretical Calculation of Stability Domain
65(2)
3.2.3 Simulation and Results
67(1)
3.2.4 Conclusion
68(7)
4 Control Strategy of Stability Optimization for HEV Powertrain
75(32)
4.1 Control Strategy Optimization for PHEV Powertrain
75(17)
4.1.1 Dynamic Model of PHEV Powertrain
75(4)
4.1.2 Optimization of Stability Domain for PHEV
79(6)
4.1.3 Experiment and Results
85(5)
4.1.4 Conclusion
90(2)
4.2 Control Strategy Optimization for SHEV Powertrain
92(15)
4.2.1 Dynamic Model of SHEV Powertrain
92(3)
4.2.2 Optimization of Stability Domain for SHEV
95(7)
4.2.3 Experiment and Results
102(2)
4.2.4 Conclusion
104(3)
5 Control Methodology of Stability Optimization for HEV Powertrain
107
5.1 Control Methodology Optimization of Mode Switching Process
107(19)
5.1.1 Dynamic Model of Mode Switching Process
107(4)
5.1.2 Optimization of Mode Switching Process
111(5)
5.1.3 Simulation and Results
116(2)
5.1.4 Experiment and Results
118(7)
5.1.5 Conclusion
125(1)
5.2 Control Methodology Optimization of Mode Switching Initiation
126
5.2.1 Dynamic Model of Mode Switching Initiation
127(2)
5.2.2 Optimization of Mode Switching Initiation
129(4)
5.2.3 Simulation and Results
133(4)
5.2.4 Experiment and Results
137(3)
5.2.5 Conclusion
140
Donghai Hu received his doctor degree from Jiangsu University, Zhenjiang in China. He is an associate professor in the School of Automotive and Traffic Engineering, Jiangsu University. His research directions include the analysis and control of the nonlinear dynamics for driving system of electric vehicle and hybrid electric vehicle. He has published 29 papers in academic journals, including 6 SCI and 9 EI papers. Yin received his doctor degree from Jiangsu University in China. He is a professor in the School of Automotive and Traffic Engineering, Jiangsu University. His research directions include development and application of new power system for vehicle. He has published 67 papers in academic journals in China and abroad, including 25 SCI and 9 EI papers. He has published three textbooks about dynamics and new technology of vehicle.