Reducing fuel consumption of diesel-electric locomotives using hybrid powertrain and fuzzy look-ahead control

2016 ◽  
Vol 231 (4) ◽  
pp. 406-418 ◽  
Author(s):  
M Saadat ◽  
M Esfahanian ◽  
MH Saket
Keyword(s):  
Fuel Consumption ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Fuzzy Controller ◽  
Lithium Ion ◽  
Hybrid Structure ◽  
Transportation Systems ◽  
Railway Transportation ◽  
Look Ahead ◽  
Hybrid Electric

Diesel-electric locomotives consume a significant amount of fuel in rail transportation systems. The power transmission system of these locomotives is similar to that of hybrid electric vehicles, so the available diesel-electric locomotives can be promoted to series hybrid locomotives by adding an energy storage source. In this study, the GM SD40-2 locomotive is considered as a case study and the series hybrid structure for this locomotive is designed and simulated by adding a lithium-ion battery pack. Additionally, control strategy plays an important role in reducing the amount of fuel consumed by hybrid electric vehicles. The fuzzy look-ahead control is applied as an online approach for fuel consumption reduction in railway transportation. A fuzzy controller modifies throttle position by accounting for the battery state of charge, the gradient and desired speed of the path ahead. The model developed in this study for train motion simulation considers the locomotive subsystems and satisfies the experimental fuel consumption data specified in the locomotive’s catalog. A simulation of a freight train with the GM SD40-2 locomotive on a local track showed considerable improvement of fuel economy when using series hybrid structure in conjunction with our proposed algorithm for diesel-electric locomotives.

Analysis of Li-Ion Battery Characteristics and Thermal Behavior

2013 ◽  
Author(s):  
Krishnashis Chatterjee ◽  
Pradip Majumdar ◽  
David Schroeder ◽  
S. Rao Kilaparti
Keyword(s):  
Thermal Behavior ◽  
Lithium Ion Batteries ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Internal Heat ◽  
Lithium Ion ◽  
Test Facility ◽  
Transportation Industry ◽  
Ambient Temperatures ◽  
Hybrid Electric

Development of electric and hybrid electric vehicles is of great interest to the transportation industry due to increased demand and cost of imported fuel, uncertainty in the steady supply of oil, and increased standards for reduced emissions. Lithium-ion batteries are considered as one of the leading types for the battery systems to be employed in electric vehicles (EVs) or hybrid electric vehicles (HEVs). Using a regenerative braking system and storing it in battery stacks and using it later for propulsion and acceleration can improve the overall efficiency and reduction of fuel consumption. The objective of this study is to evaluate experimentally the battery performance considering different discharge and charge rates, and investigate the thermal behavior and thermal management requirements of the batteries under a variety of environmental conditions. An experimental test facility has been developed to evaluate thermal performance during charging and discharging modes. Environmental temperatures were varied in environmental chamber to analyze their effects on the charging and discharging patterns of the battery by using the CADEX battery analyzer in order to find the temperature range for optimum battery performance. The batteries were monitored with thermal sensors and a thermal imaging camera while they were run through different load scenarios. In the present study, lithium-ion batteries have been tested and battery performance in terms of polarization curves and discharge capacity were measured using a computerized battery analyzer system for different discharge and charge rates, and over a range of ambient temperatures. Results indicate that at higher discharge and charge rates battery performance decreases due to increased polarization losses, which results in increased internal heat generation and temperature of the battery. Battery performance also depends strongly on the ambient temperature conditions.

An optimal multistage charge strategy for commercial lithium ion batteries

2018 ◽  
Vol 2 (8) ◽  
pp. 1726-1736 ◽  
Author(s):  
Jialong Liu ◽  
Qiangling Duan ◽  
Haodong Chen ◽  
Jinhua Sun ◽  
Qingsong Wang
Keyword(s):  
Lithium Ion Batteries ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Lithium Ion ◽  
Hybrid Electric

Herein, an optimal multistage charge strategy for commercial lithium ion batteries is proposed to enhance the performance of electric vehicles and hybrid electric vehicles.

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