1997
DOI: 10.1109/63.641498
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A multirate digital controller for a 1.5-kW electric vehicle battery charger

Abstract: This paper describes a power electronic system that, among other possibilities, can be used to charge electric vehicle batteries. A large-signal linear multirate digital controller for the charging current permits the charger to track and deliver a desired current trajectory for a wide range of loads. This controller simultaneously ensures that the charger draws power from the electric utility with unity power factor. The analytical development of the controller and experimental results from a prototype charge… Show more

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Cited by 23 publications
(13 citation statements)
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“…particle swarm optimisation SOPSO single-objective particle swarm optimisation MOPSO multi-objective particle swarm optimisation FC fuel cell PV photo voltaic HEV hybrid electric vehicle GPFC green plug filter compensator V id velocity of the ith particle with d dimensions X id position of the ith particle with d dimensions rand 1 base value of the battery current T 1 -T 9 time delays for the DC boost chopper regulator (A) scheme T 10 ,T 11 time delays for the energy management regulator (C) scheme D time-delay loop K P , K I , K D g 1 , g 2 self-tuned weighted modified proportionalintegral-derivative (PID) controller gains…”
Section: Psomentioning
confidence: 99%
See 1 more Smart Citation
“…particle swarm optimisation SOPSO single-objective particle swarm optimisation MOPSO multi-objective particle swarm optimisation FC fuel cell PV photo voltaic HEV hybrid electric vehicle GPFC green plug filter compensator V id velocity of the ith particle with d dimensions X id position of the ith particle with d dimensions rand 1 base value of the battery current T 1 -T 9 time delays for the DC boost chopper regulator (A) scheme T 10 ,T 11 time delays for the energy management regulator (C) scheme D time-delay loop K P , K I , K D g 1 , g 2 self-tuned weighted modified proportionalintegral-derivative (PID) controller gains…”
Section: Psomentioning
confidence: 99%
“…The ability to reduce the charging time depends on delivering as much current as possible during the charging period. The parameters that ultimately limit the charging current are (i) the current capacity of the ac source, (ii) the thermal limitations of the charger and (iii) the thermal and chemical limitations of the battery [10,11]. Different battery types, charging schemes and classes were proposed [12][13][14][15][16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…This system recorded two electrical signals: the controlled boost voltage from the output of the pre-regulator in the 1.5 kW inductively-coupled prototype electronic drive, and also the bath temperature . For use in control, the bath temperature was also relayed to an embedded 80C196KC digital microcontroller board used to control the power electronics as described in [11] and [3]. It is important to emphasize that the PC in this experimental setup simply and only provided archival data collection for later, off-line comparison to experimental results.…”
Section: Experiment: Bath Temperature Controlmentioning
confidence: 99%
“…Large-signal linear models are essential for developing controllers with verifiable performance in tracking applications. The general multirate digital control techniques developed in [3], [11], and [12], and presume that the driving-point impedance or other input-to-output behavior of the load can be described by a linear, time-invariant transfer-function model. The time invariance constraint implies that the differential equations or transfer function describing the load model contains constant coefficients.…”
Section: System Overviewmentioning
confidence: 99%
“…In applications where a moderately fast output voltage's dynamic response is adequate [7], [9], [24], [25], the proposed prototype drawing an imperfect sinusoidal input current can be an all-in-one power supply solution that provides PFC, low output voltage ripple, and adequately fast dynamic response.…”
Section: Experimental Verificationmentioning
confidence: 99%