Development of Power Management Strategy using Dynamic Programming for BSG Mild HEV

Hsieh, Feng-Chi; Chou, Ta-Wei; Chen, Yuan-Chun; Huang, Yin-Dar; Lin, Yu‐Wei; Peng, Yu-Wen

doi:10.4271/2014-01-1811

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…The tests show that the battery efficiency is approximately 90% if SOC locates between 0.35 and 0.75. Because the battery in HEVs is not designed to be charged from the grid, the energy in the battery should be supplemented to avoid the damage [28], [29]. Thus the control strategy should try to maintain SOC in its optimal range [30].…”

Section: ) Battery Modelmentioning

confidence: 99%

Dynamic Coordinated Control Based on Sliding Mode Controller During Mode Switching With ICE Starting for an HEV

Gao

Tao

2020

IEEE Access

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Due to the friction-induced discontinuity of the clutch torque and ICE on/off, seamless mode transition of hybrid electric vehicles (HEVs) is difficult to achieve, which has a bad influence on the vehicle ride comfort. In the face of system uncontinuity and strong nonlinearity during mode switching with ICE starting, a control strategy of torque dynamic coordination is proposed by means of sliding mode control based on disturbance compensation. Firstly, the steady-state and transient models of parts and working modes are built, which improves modeling accuracy and adaptability to transient driving cycle. Furthermore, the switching process from pure electric driving to hybrid driving is divided into three phases including internal combustion engine (ICE) starting, speed synchronization and torque redistribution. The design of according disturbance observer and sliding mode controller is described in detail. Lastly, compared with other two control strategies, the rationality and validity of the control method designed are testified not only by computer simulations but also experimental tests under the comprehensive driving cycle of local passenger vehicles. The potential of the proposed control strategy in terms of power transfer smoothness and improving riding comfort is illustrated. INDEX TERMS Hybrid electric vehicle (HEV), coordinated control, sliding mode control, mode switching.

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Section: ) Battery Modelmentioning

confidence: 99%

Dynamic Coordinated Control Based on Sliding Mode Controller During Mode Switching With ICE Starting for an HEV

Gao

Tao

2020

IEEE Access

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“…The resulted control outperforms the rules extracted from DP results and can be directly implemented in real time. Hsieh et aL [17] proposed a power management strategy for BSG-HEV by extracting rules from the DP solutions. Musardo et aL [18] proposed an adaptive ECMS (A-ECMS) to update the equivalent factor according to the current road load.…”

Section: Introductionmentioning

confidence: 99%

Adaptive power management strategy for Hybrid Electric Vehicle with Belt-driven Starter Generator

Guan

Chen

Huang³

et al. 2015

2015 IEEE 12th International Conference on Networking, Sensing and Control

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The increase of oil price has become a global long term trend. Major automotive manufactures started to put more resources in the research and development of new energy vehicles. Hybrid Electric Vehicle (HEV) which consists of internal combustion engine and electric machine can overcome the disadvantages of these components using power management control strategy, such that the engine can be operated in the highly efficient region. Thus enhance the efficiency of energy usage and increase the cruising distance of the vehicle. The automotive industries in Taiwan are currently developing the HEV equipped withBelt-driven Starter Generator (BSG). The power management control strategy will be developed for BSG-HEV in this paper. Equivalent fuel consumption minimization is used to design the proposed adaptive power management control strategy, such that fuel consumption can be effectively reduced for different driving patterns. Self-organizing fuzzy controller is used to adaptively adjust the equivalence factor which is used to convert the electric power usage to equivalent fuel consumption. A cost function of instantaneous fuel consumption is minimized to obtain the optimum power split between the BSG and engine.Keywords-belt-driven starter and generator; hybrid electric vehicle; equivalent fuel consumption minimization; equivalence factor; adaptive power management control.

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“…A mild HEV system utilizes the hybrid system more, such as ISG system, power assist, and battery charging, and it offers about 15~30% improvement in fuel economy. As for a full HEV, it has an expensive system which is complex to control, but it provides about 30~50% improvement in fuel economy with a down-sized engine and a regenerative braking system which recovers the kinetic and potential wasted energies from braking in order to increase energy efficiency [5]. However, some expect the market penetration of the mild HEV system to be larger than that of the full HEV in the next 10~15 years due to its lower development costs, simpler architecture, and economic retrenchment in powertrain modifications [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Effects of Initial SOC of 270-Volt Battery on Operating Performance of Gasoline Engine and Electric motor in a Parallel Hybrid Vehicle under IM240 Driving Cycle Mode

Kim¹,

Kim²

2016

Adv Automob Eng

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Development of Power Management Strategy using Dynamic Programming for BSG Mild HEV

Cited by 7 publications

References 4 publications

Dynamic Coordinated Control Based on Sliding Mode Controller During Mode Switching With ICE Starting for an HEV

Dynamic Coordinated Control Based on Sliding Mode Controller During Mode Switching With ICE Starting for an HEV

Adaptive power management strategy for Hybrid Electric Vehicle with Belt-driven Starter Generator

Effects of Initial SOC of 270-Volt Battery on Operating Performance of Gasoline Engine and Electric motor in a Parallel Hybrid Vehicle under IM240 Driving Cycle Mode

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