Efficiency improvement of a novel dual motor powertrain for plug-in hybrid electric buses

2020 ◽  
Vol 234 (7) ◽  
pp. 1869-1882 ◽  
Author(s):  
Cong Thanh Nguyen ◽  
Paul D Walker ◽  
Nong Zhang ◽  
Jiageng Ruan
Keyword(s):  
Dynamic Programming ◽  
Vehicle Speed ◽  
Efficiency Improvement ◽  
Energy Management Strategy ◽  
Power Sources ◽  
Single Motor ◽  
Driving Cycles ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Powertrain Configuration

Powertrain configuration plays an important role in the performance of plug-in hybrid electric buses. Current designs are the compromise between energy efficiency, dynamic ability, shifting smoothness and manufactural cost. To balance the above requirements, this research proposes a novel dual motor powertrain for plug-in hybrid electric buses. The efficiency improvement is compared to the conventional plug-in parallel hybrid electric buses with a single motor powertrain. Parameter designs of system components guarantee two configurations equivalently. To maximize the benefits of the proposed powertrain, this paper introduces an energy management strategy which coordinates enumeration method and dynamic programming to build the optimal maps of powertrain operation. The enumeration method determines the working points of power sources and gear states in all possible modes according to vehicle speed and power. The dynamic programming then selects the most suitable mode with the consideration of gear shifting and mode change in the optimal maps. Simulation results show that the dual motors work in peak efficiency region much more frequently than the single motor in different conditions. Therefore, the total energy cost of dual motor powertrain for entire driving cycles decreases significantly in comparison with the single motor powertrain, 6.5% in the LA92 and 6.7% in the Urban Dynamometer Driving Schedule.

scholarly journals A Model-Based Design Approach for a Parallel Hybrid Electric Tractor Energy Management Strategy Using Hardware in the Loop Technique

Vehicles ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 1-19
Author(s):  
Francesco Mocera
Keyword(s):  
Energy Management ◽  
Test Performance ◽  
Management Strategy ◽  
Field Measurements ◽  
Efficient Solutions ◽  
Hardware In The Loop ◽  
Energy Management Strategy ◽  
Power Sources ◽  
Parallel Hybrid ◽  
Hybrid Electric

Recent developments in emissions regulations are pushing Non-Road Mobile Machineries manufacturers towards the adoption of more efficient solutions to reduce the amount of pollutants per unit of work performed. Electrification can be a reasonable alternative to traditional powertrain to achieve this goal. The higher complexity of working machines architectures requires, now more than ever, better design and testing methodologies to better integrate electric systems into mechanical and hydraulic layouts. In this work, the attention focused on the use of a Hardware in the Loop (HIL) approach to test performance of an energy management strategy (called load observer) developed specifically for an orchard tractor starting from field characterization. The HIL bench was designed to replicate a scaled architecture of a parallel hybrid electric tractor at mechanical and electrical level. The vehicle behavior was simulated with a personal computer connected on the CAN BUS network designed for the HIL system. Several tasks were simulated starting from data gathered during field measurements of a daily use of the machine. Results showed good performance in terms of load split between the two power sources and stability of the speed control although the variability of the applied load.

Offline Optimization of Parallel Hybrid Electric Vehicle Energy Management Strategy Based on the Dynamic Programming

2014 ◽  
Vol 1044-1045 ◽  
pp. 941-946 ◽  
Author(s):  
Shi Chun Yang ◽  
Yue Gu ◽  
Ming Li
Keyword(s):  
Dynamic Programming ◽  
Electric Vehicle ◽  
Energy Management ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Management Control ◽  
Energy Management Strategy ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric

By using dynamic programming (DP) which is a kind of global optimization algorithm, an energy management control strategy for a parallel hybrid electric vehicle (PHEV) on different charging depleting range (CDR) had been studied. The results show that motor-dominant control strategy should be applied to the PHEV when CDR is less than 55km, and engine-dominant control strategy should be used when CDR is more than 55km. With optimal control strategies from DP, the best economic performance can be obtained as CDR is 55km

Fuzzy Torque Distribution Control for a Parallel Hybrid Electric Vehicle

2001 ◽  
Author(s):  
Jong-Seob Won ◽  
Reza Langari
Keyword(s):  
Electric Vehicle ◽  
Energy Management ◽  
Hybrid Electric Vehicle ◽  
Energy Management Strategy ◽  
Torque Distribution ◽  
Parallel Hybrid Electric Vehicle ◽  
Cycle Simulation ◽  
Mode Of Operation ◽  
Parallel Hybrid ◽  
Hybrid Electric

Abstract A fuzzy torque distribution controller for energy management (and emission control) of a parallel-hybrid electric vehicle is proposed. The proposed controller is implemented in terms of a hierarchical architecture which incorporates the mode of operation of the vehicle as well as empirical knowledge of energy flow in each mode. Moreover, the rule set for each mode of operation of the vehicle is designed in view of an overall energy management strategy that ranges from maximal emphasis on battery charge sustenance to complete reliance on the electrical power source. The proposed control system is evaluated via computational simulations under the FTP75 urban drive cycle. Simulation results reveal that the proposed fuzzy torque distribution strategy is effective over the entire operating range of the vehicle in terms of performance, fuel economy as well as emissions.

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