Intelligent fuzzy energy management research for a uniaxial parallel hybrid electric vehicle

Meng, Dawei; Zhang, Yu; Zhou, Ming; Na, Risha

doi:10.1016/j.compeleceng.2016.03.014

Cited by 51 publications

(18 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fuzzy control is another advanced control theory which processes imprecise information relying on degree of membership and fuzzy principles from expert knowledge. 181,182 Jia et al 183 introduced a fuzzy controller which regarded the non-equalization degree and the load current as the inputs. Simulation results show that the fuzzy control algorithm has strong robustness and can stabilize the balancing control system in a short time.…”

Section: Advanced Control Algorithmsmentioning

confidence: 99%

A comprehensive review on inconsistency and equalization technology of lithium‐ion battery for electric vehicles

et al. 2020

View full text Add to dashboard Cite

The rapid growth of transportation demand has been enlarged strongly which has promoted electric vehicles powered by lithium-ion batteries. However, the inconsistencies within the battery pack will deteriorate over the lifecycle and affect the performance of electric vehicles. Therefore, various thermal management systems and equalization systems have been applied in battery management system to deal with the inconsistencies, extend battery service life, and improve safety performance. This review summarizes the origination of inconsistency within lithium-ion batteries from production to usage process, and then introduces the classification methods and application scenarios of the balance management system in detail. Based on the circuit topology, equalization systems can be classified into passive and active topologies. Active topologies

show abstract

Section: Advanced Control Algorithmsmentioning

confidence: 99%

A comprehensive review on inconsistency and equalization technology of lithium‐ion battery for electric vehicles

et al. 2020

View full text Add to dashboard Cite

show abstract

“…One is a collection of systems that includes all different states, and the other is the factors that cause these different states to switch to each other. These factors are collectively called state transition events [13]. HEVs generally include six different operating states.…”

Section: Comprehensive Torque Control Strategy Modelmentioning

confidence: 99%

Genetic Algorithm-Based Energy-Saving Control Strategy of Vehicle Drive

2020

IJOMAM

View full text Add to dashboard Cite

“…These strategies succeeded in optimizing fuel consumption, but fail for online management due to the high computational cost. Most of the online strategies published for UAVs are rule-based strategies, mainly fuzzy logic control (FCL) (Dawei et al, 2017), and state machine (SM) (Yang et al, 2018). The results of the aforementioned studies show that it is possible to obtain great improvements in the optimization of the powertrain design, the structure of the aircraft, parameters of the trajectory, etc.…”

Section: Introductionmentioning

confidence: 99%

Using Dfferential Evolution Techniques for Management of a Hybrid-Electric Propulsion System

Rendón

Sánchez

Gallo

et al. 2020

Anais Do Congresso Brasileiro De Automática 2020

View full text Add to dashboard Cite

The air transportation industry contributes with 2% of the total greenhouse gas emissions, and there is a demand from global aviation regulators for reducing this percentage. Hybrid-electric propulsion systems (HEPS) for aircraft is an area of increasing interest for achieving these goals. It is a multidisciplinary research that involves internal combustion engines (ICE), electric motors (EM), power electronic converters, energy storage devices, propeller design, monitoring and control systems, management, etc. The Electromechanical Energy Conversion Group (GCEME) in Brazil developed a complete HEPS test bench and Laboratory. The facility will be able to test three different topologies: Series, full-electric and turbo-electric. The present work employs a detailed model for the test bench, and given a mission prole and the energy consumption as optimization function, it applies Dierential Evolution (DE) techniques in the energy management code. The results highlight the nonlinear nature of the HEPS model, and the worth of this methodology in looking for an optimal solution to reduce the computing processing time.

show abstract

Intelligent fuzzy energy management research for a uniaxial parallel hybrid electric vehicle

Cited by 51 publications

References 5 publications

A comprehensive review on inconsistency and equalization technology of lithium‐ion battery for electric vehicles

A comprehensive review on inconsistency and equalization technology of lithium‐ion battery for electric vehicles

Genetic Algorithm-Based Energy-Saving Control Strategy of Vehicle Drive

Using Dfferential Evolution Techniques for Management of a Hybrid-Electric Propulsion System

Contact Info

Product

Resources

About