A hierarchical energy management strategy for battery-supercapacitor hybrid energy storage system of electric vehicle

Ming, Tingyou; Deng, Weiwen; Wu, Jian; Zhang, Qiao

doi:10.1109/itec-ap.2014.6941167

Cited by 12 publications

(4 citation statements)

References 8 publications

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“…Here bidirectional DC-DC converter is used for power flow in either direction i.e., source to load and load to source. When power flow from source to load converter increases output voltage i.e., boost operation and during braking period power flow from load to source converter decreases its output voltage i.e., buck operation [12]. One bidirectional converter is used between DC link and PMDC motor for speed control of motor.…”

Section: Methodsmentioning

confidence: 99%

Hybrid Energy Management System Consisting of Battery and Supercapacitor for Electric Vehicle

Chavda¹,

Prajapati²,

Babariya³

et al. 2022

IJIE

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This paper is mainly focused on Hybrid Energy Management System (HEMS) consisting ofBattery (BT) and Super capacitor (SC). Two energy sources connected in with same DC link in parallel manner with the help of Bidirectional DC-DC converter, which is used to separate control of power flow of each source. Here Permanent magnet dc motor (PMDC) motor used as a load and speed control of PMDC motor can be done by PWM method for this purpose chopper circuit is used. Input of chopper circuit is DC link and output of the chopper is given to PMDC motor. This method of energy management gives power splitting between two sources based on State of Charge (SOC) of each individual source during different state of vehicle such as acceleration, constant running and deceleration. Improved filter-based power splitting techniques is implemented. Three acceleration reference points were taken for power splinting at different SOC levels of both energy sources. Objective of this proposed method is best use of both the sources i.e. battery and supercapacitor and maximum use of supercapacitor energy at the time of transient conditions. Battery supply energy during normal running condition or very less load condition. Hence during transient condition SC directly react with system and gives peak power requirement, so stress on battery is reduces hence lifetime of battery is increase, also power available during braking is store in SC and battery, so independence of Electric Vehicle (EV) is increases. Because of less peak power requirement, batteries with less peak output power is used so it is reduced size and cost of batteries. Matlab-Simulink software is used for simulation and also small scale hardware is also implemented of proposed method.

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Section: Methodsmentioning

confidence: 99%

Hybrid Energy Management System Consisting of Battery and Supercapacitor for Electric Vehicle

Chavda¹,

Prajapati²,

Babariya³

et al. 2022

IJIE

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show abstract

“…Of course, the power performance of EV can be enhanced by increasing the size of the batteries, meanwhile, cost and mass of the EV will be another issue for practical engineering. For these reasons supercapacitors (SCs), which have high power density and the characteristics of fast charging and discharging, have attracted attention recently as an auxiliary energy storage to reduce the stress on batteries [8,9]. At the same time, how to allocate the output power of batteries and SCs properly for improving performance of vehicle is another problem to be solved In the field of EV.…”

Section: Introductionmentioning

confidence: 99%

“…The power performance of HBSEV is relevant to the available energy of SCs, in other words, the energy of SCs needs to satisfy the energy demand of maximum acceleration or deceleration. In [8,16,17], the relationship of the stored energy of SCs and speed is acquired. Then, the neural network, rules-based and fuzzy logic algorithm are used to split the output power of batteries and SCs under the unknown road conditions.…”

Section: Introductionmentioning

confidence: 99%

“…There exist a lot of contributions and remarkable works on energy management strategies (EMS) in the field of hybrid batteries/supercapacitors electrical vehicles (HBSEV) [8–31]. The EMS based on rules algorithm is easy to realize and execute in hardware, and has been widely used in HBSEV [8]. However, it cannot ensure the best performance and extend batteries lifespan under unknown road conditions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive energy management strategy for hybrid batteries/supercapacitors electrical vehicle based on model prediction control

Tao

2019

Asian J Control

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In this paper, in order to extend battery lifespan and lift power performance in hybrid batteries/supercapacitors electrical vehicles, a new energy management strategy is proposed based on model prediction control and adaptive method. Firstly, models of batteries and supercapacitors are built, which are then adapted and simplified to develop state space expression. Secondly, a series of reference values of battery power and supercapacitor state of charge for model prediction methods are properly calculated by the adaptive method. Thereafter, an energy management strategy based on the model prediction control method is designed to allocate the output power of batteries and supercapacitors within constraints, which guarantees batteries lifespan and the power performance of vehicle. Finally, simulation and experiment results are provided to evaluate battery lifespan and power performance of vehicles under HWFET and UDDS road conditions. The results obtained show that the proposed strategy, compared with the former methods, reduce average power and power variation of batteries, and effectively utilize supercapacitors depending on the power demand, which can extend battery lifespan and lift the power performance of vehicle.

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A hierarchical energy management strategy for battery-supercapacitor hybrid energy storage system of electric vehicle

Cited by 12 publications

References 8 publications

Hybrid Energy Management System Consisting of Battery and Supercapacitor for Electric Vehicle

Hybrid Energy Management System Consisting of Battery and Supercapacitor for Electric Vehicle

Adaptive energy management strategy for hybrid batteries/supercapacitors electrical vehicle based on model prediction control

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