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公开(公告)号:US20190157891A1
公开(公告)日:2019-05-23
申请号:US16194596
申请日:2018-11-19
Inventor: Ephram Chemali , Matthias Preindl
Abstract: An approach to control or monitoring of battery operation makes use of a recurrent neural network (RNN), which receives one or more battery attributes for a Lithium ion (Li-ion) battery, and determines, based on the received one or more battery attributes, a state-of-charge (SOC) estimate for the Li-ion battery.
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公开(公告)号:US20240356334A1
公开(公告)日:2024-10-24
申请号:US18292316
申请日:2022-07-27
Inventor: Matthias Preindl , Liwei Zhou , William-Michael Eull , Matthew Jahnes
CPC classification number: H02J3/322 , H02M1/0043 , H02M1/007 , H02M1/083 , H02M1/126 , H02M7/797 , H02J2203/20 , H02M1/0058 , H02M1/009 , H02M7/81
Abstract: Disclosed are implementations that include a power converter system including a non-isolated N-phase DC/AC power converter, for N≥1, with a DC voltage section and an N-phase AC voltage section, with the power converter including energy storage arrangements for each of three phases of the AC voltage section. The energy storage arrangements are commonly electrically coupled to the terminals of the DC voltage section. The system further includes a controller to control voltages at the energy storage arrangements, with the controller including one or more switching devices to control voltages at one or more terminals of the energy storage arrangements, and at least one model predictive control (MPC) module to generate control signaling, based on electrical operational characteristics of at least some of storage elements, to actuate the one or more switching devices to establish zero sequence voltage stabilization behavior at the terminals of the energy storage arrangements.
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公开(公告)号:US20240235206A1
公开(公告)日:2024-07-11
申请号:US18292318
申请日:2022-07-27
Inventor: Matthias Preindl , Liwei Zhou , William-Michael Eull , Matthew Jahnes
CPC classification number: H02J3/322 , H02J7/02 , H02P27/08 , H02J2203/20 , H02J2207/20
Abstract: Disclosed are implementations that include a power converter system and method including an N-phase power converter stage having to an alternating current (AC) side and a direct current (DC) side, with N≥1. The system and method further include an N-phase LC filter comprising one or more capacitors, wherein respective one or more neutral points of the one or more capacitors are electrically connected to a DC negative terminal of a DC source. A control system drives power switching elements of the N-phase power converter stage to convert received power and to output converted power. The control system drives the power switching elements using variable frequency soft switching at a frequency of at least 20 kHz. The power converter may have bidirectional operation to operate in a traction mode to drive a motor or a charging mode to charge a DC source.
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公开(公告)号:US20230387842A1
公开(公告)日:2023-11-30
申请号:US18137874
申请日:2023-04-21
Inventor: Matthias Preindl
CPC classification number: H02P21/13 , H02P21/18 , H03H21/0043 , H03H2021/0061
Abstract: Disclosed are implementations, including a method that includes obtaining measurement samples relating to electrical operation of an electric motor drive providing power to an electric motor, deriving, based on the samples, instantaneous estimates for parameters characterizing speed and/or position of the motor according to an optimization process based on a cost function defined for the samples, and applying a filtering operation to the instantaneous estimates to generate filtered values of the motor's speed and/or position. The filtering operation includes computing the filtered values using the derived instantaneous estimates in response to a determination that a computed convexity of the cost function is greater than or equal to a convexity threshold value, and/or applying a least-squares filtering operation to the derived instantaneous estimates and using at least one set of previous estimates derived according to the optimization process applied to previous measurement samples.
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公开(公告)号:US20230280410A1
公开(公告)日:2023-09-07
申请号:US18118231
申请日:2023-03-07
Inventor: Ephram Chemali , Matthias Preindl
IPC: G01R31/392 , G01R31/382 , H01M10/48 , H02J7/00 , G06N3/045
CPC classification number: G01R31/392 , G01R31/382 , H01M10/486 , H02J7/0048 , G06N3/045 , G06N3/08
Abstract: An approach to control or monitoring of battery operation makes use of an artificial neural network (ANN), which receives one or more battery attributes for a Lithium ion (Li-ion) battery, and determines, based on the received one or more battery attributes, a state-of-charge (SOC) and/or a state-of-health (SOH) estimate for the Li-ion battery. The ANN includes at least one of a recurrent neural network (RNN) and a convolutional neural network (CNN), and the series of values of the battery attributes includes at one of battery voltage values, battery current values, and battery temperature values.
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公开(公告)号:US20210261009A1
公开(公告)日:2021-08-26
申请号:US17173524
申请日:2021-02-11
Inventor: William-Michael Eull , Liwei Zhou , Weizhong Wang , Gangqi Cen , Matthias Preindl
Abstract: A system may mitigate leakage currents in non-isolated charging stations for electric vehicles. The system may include a bank of one or more parallel capacitors per phase electrically coupled to an AC voltage source, wherein a neutral point of the one or more parallel capacitors is electrically coupled to a DC ground; a bank of one or more inductors per phase electrically coupled to the one or more parallel capacitors, wherein each inductor is in series with and downstream from one capacitor; a rectifier electrically coupled to and downstream from the one or more parallel inductors, wherein the rectifier converts the AC voltage source to a DC voltage for supply to a battery; a DC bus electrically coupled to the rectifier; and a controller, wherein the controller is configured to mitigate leakage currents by controlling a voltage of at least one of the bank of one or more parallel capacitors.
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公开(公告)号:US20210126522A1
公开(公告)日:2021-04-29
申请号:US17076133
申请日:2020-10-21
Inventor: Matthias Preindl , Liwei Zhou
Abstract: Disclosed are methods, systems, devices, and other implementations, including a voltage converter device that includes one or more inductive elements to deliver inductor current to an output section of the voltage converter device, at least one switching device to control current flow at the output section of the voltage converter device, and a controller to controllably vary, according to a predictive model, a subsequently applied switching frequency to the at least one switching device to maintain zero-voltage switching based, at least in part, on the inductor current of the one or more inductive elements.
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