Design of Regenerative Anti-Lock Braking System Controller for 4 In-Wheel-Motor Drive Electric Vehicle with Road Surface Estimation

Aksjonov, Andrei; Vodovozov, Valery; Augsburg, Klaus; Petlenkov, Eduard

doi:10.1007/s12239-018-0070-8

Cited by 62 publications

(56 citation statements)

References 35 publications

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“…The membership function of the fuzzy controller and the formulation of the fuzzy rules are also different, which will affect the target slip ratio control result. Considering the difference of braking torque between front and rear wheels, the DFLC for front and rear wheels is designed to ensure OSR tracking control target values effectively, which is different from the fuzzy controllers in [9,13,[21][22][23][24][25]. The requirement slip ratio (s req (t)) can be obtained from the requirement braking strength calculation and real-time OSR (s osr (t)) can be outputted.…”

Section: Osr Control Methods By Dflcmentioning

confidence: 99%

An Optimal Slip Ratio-Based Revised Regenerative Braking Control Strategy of Range-Extended Electric Vehicle

Liu

Lei

et al. 2020

Energies

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The energy recovered with regenerative braking system can greatly improve energy efficiency of range-extended electric vehicle (R-EEV). Nevertheless, maximizing braking energy recovery while maintaining braking performance remains a challenging issue, and it is also difficult to reduce the adverse effects of regenerative current on battery capacity loss rate (Qloss,%) to extend its service life. To solve this problem, a revised regenerative braking control strategy (RRBCS) with the rate and shape of regenerative braking current considerations is proposed. Firstly, the initial regenerative braking control strategy (IRBCS) is researched in this paper. Then, the battery capacity loss model is established by using battery capacity test results. Eventually, RRBCS is obtained based on IRBCS to optimize and modify the allocation logic of braking work-point. The simulation results show that compared with IRBCS, the regenerative braking energy is slightly reduced by 16.6% and Qloss,% is reduced by 79.2%. It means that the RRBCS can reduce Qloss,% at the expense of small braking energy recovery loss. As expected, RRBCS has a positive effect on prolonging the battery service life while ensuring braking safety while maximizing recovery energy. This result can be used to develop regenerative braking control system to improve comprehensive performance levels.

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Section: Osr Control Methods By Dflcmentioning

confidence: 99%

An Optimal Slip Ratio-Based Revised Regenerative Braking Control Strategy of Range-Extended Electric Vehicle

Liu

Lei

et al. 2020

Energies

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“…Parking FLCs are described in [5], [16] and severe other sources. Novel fuzzy ABS organization was presented recently in [29], [30]. The offered cruising speed control is explained below.…”

Section: Control System Of Ev Propulsionmentioning

confidence: 99%

Speed Control of Electric Vehicle Propulsion with Autotuning at Changeable Driving Modes and Road Conditions

Aksjonov

Nedoma

Vodovozov

et al. 2019

2019 IEEE International Conference on Mechatronics (ICM)

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Considering the high demands continually imposed on equipment indispensable for intelligent transportation, this paper focuses on the cruise control in propulsion systems of road electric vehicles. The research lays emphasis on how to arrange optimal dynamics in terms of the speed overshoot and the speed rise time at changeable driving modes and road conditions. The paper addresses two aspects, namely, most accurate following the demanded transition process and most rapid achieving the setpoint. The former issue is typical for industrial vehicles operated in rather stable obstacles (loaders, forklift trucks, carriers, etc.), whereas the latter one concerns traditional road electric cars. Online autotuning of the controller is provided directly in the driving process by applying periodically estimated slope and peak input signals for analysing the speed responses and correcting controller settings. Tuning procedures based on binary logic and fuzzy logic approaches are compared. Keywords-road electric vehicle, propulsion, PID controller, binary logic controller, fuzzy logic controller, autotuning.I.

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“…The electronic circuit includes a programmable logic controller (PLC) which supports several sensors, anti‐lock braking system (ABS), and starter. The critical mechanical failures include mini‐valves, pipes, couplings, and sealing …”

Section: Application Of Case Studymentioning

confidence: 99%

“…The critical mechanical failures include minivalves, pipes, couplings, and sealing. 81,82 Figure 6 displays a scheme of the fluid filling system including the hydraulic-pneumatic circuit, the electronic circuit, and the filling head set. The filling pump is used for fluid injection, the pressure set controls the required pressure, and the pipes and fittings are designed to carry air and other fluids.…”

Section: Application Of Case Studymentioning

confidence: 99%

Footprint of knowledge acquisition improvement in failure diagnosis analysis

Yazdi

2018

Quality & Reliability Eng

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Fault tree analysis (FTA) as an effective and efficient risk assessment tool are widely used to analyze the reliability of a complex system. In this context, FTA can properly improve the safety performance of the system by preventing an event which may lead to occurrence of a catastrophic accident. However, traditional FTA is still suffering from dynamic structure demonstration and importantly epistemic uncertainty processing. In this study, a novel methodology is introduced using Bayesian updating mechanism to deal with dynamic structure and 2‐tuple fuzzy set named as intuitionistic fuzzy numbers are employed to cope with subjectivity of uncertainty processing. Accordingly, the most critical system components which affect the system reliability are recognized by using an appropriate sensitivity analysis method. The proposed methodology is then applied on a real case study application (a brake fluid filling system) in order to examine the effectiveness and feasibility of the approach. The results illustrated that the new methodology can have enough benefits for diagnosing the systems' faults compared with listing approaches of safety and reliability analysis. In terms of empirical case study, “electromotor failure” was evaluated as the second most critical basic event in conventional‐based approaches, whereas in the novel methodology “high pressure liquefied material” was recognized as the second one.

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Design of Regenerative Anti-Lock Braking System Controller for 4 In-Wheel-Motor Drive Electric Vehicle with Road Surface Estimation

Cited by 62 publications

References 35 publications

An Optimal Slip Ratio-Based Revised Regenerative Braking Control Strategy of Range-Extended Electric Vehicle

An Optimal Slip Ratio-Based Revised Regenerative Braking Control Strategy of Range-Extended Electric Vehicle

Speed Control of Electric Vehicle Propulsion with Autotuning at Changeable Driving Modes and Road Conditions

Footprint of knowledge acquisition improvement in failure diagnosis analysis

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