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公开(公告)号：US11325580B2
公开(公告)日：2022-05-10
申请号：US16537972
申请日：2019-08-12
Applicant: Robert Bosch GmbH
Inventor： Ziheng Pan , Shyam Jade
Abstract: A multi-layer control mechanism for optimizing performance metrics of a hybrid electric vehicle (e.g., fuel efficiency, drivability, NVH). A first layer generates a policy that defines target engine & motor operating settings for each of a plurality of possible driver demand inputs based on a predicted driver demand profile for a long-horizon period of time. A second layer determines a predicted “short-horizon” driver demand—based, for example, on historical driver data and one or more environmental sensor inputs—and applies a corrective pre-adjustment to the operating settings of the vehicle in response to determining that a pre-adjustment is required in order to apply the target operating settings for the predicted driver demand. A third layer determines constraints to the operating settings required to comply with the additional performance parameters and limits the operating settings applied to the engine and motor(s) to feasible operating settings defined by the constraints.
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Patent Agency Ranking
公开(公告)号：US20210188242A1
公开(公告)日：2021-06-24
申请号：US17088040
申请日：2020-11-03
Inventor： Ziheng Pan , Shyam Jade , Huei Peng
Abstract: Methods and systems for calibrating a hybrid vehicle system for simplified control of the powertrain to optimize fuel efficiency of the hybrid vehicle and for operating a hybrid vehicle powertrain accordingly. The optimization mechanism reduces the optimized control problem to a single degree-of-freedom. Accordingly, during real-time operation of the hybrid vehicle, the system is able to quickly identify and apply optimized operating settings for a particular driver demand and, in some implementations, to provide a particular rate of change of the state-of-charge of the battery of the hybrid vehicle.
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公开(公告)号：US20210046918A1
公开(公告)日：2021-02-18
申请号：US16537972
申请日：2019-08-12
Applicant: Robert Bosch GmbH
Inventor： Ziheng Pan , Shyam Jade
Abstract: A multi-layer control mechanism for optimizing performance metrics of a hybrid electric vehicle (e.g., fuel efficiency, drivability, NVH). A first layer generates a policy that defines target engine & motor operating settings for each of a plurality of possible driver demand inputs based on a predicted driver demand profile for a long-horizon period of time. A second layer determines a predicted “short-horizon” driver demand—based, for example, on historical driver data and one or more environmental sensor inputs—and applies a corrective pre-adjustment to the operating settings of the vehicle in response to determining that a pre-adjustment is required in order to apply the target operating settings for the predicted driver demand. A third layer determines constraints to the operating settings required to comply with the additional performance parameters and limits the operating settings applied to the engine and motor(s) to feasible operating settings defined by the constraints.
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4.发明公开公开(公告)号：US20240253508A1
公开(公告)日：2024-08-01
申请号：US18162068
申请日：2023-01-31
Applicant: Robert Bosch GmbH
Inventor： Shyam Jade , Ziheng Pan , Sergio Arturo Garcia Ortega
IPC: B60L53/63 , B60L53/302 , B60L53/53 , B60L53/62 , B60L53/66 , B60L53/67 , B60L53/80 , G05B19/042
CPC classification number: B60L53/63 , B60L53/302 , B60L53/53 , B60L53/62 , B60L53/66 , B60L53/67 , B60L53/80 , G05B19/042 , G05B2219/2639
Abstract: A system for managing electric vehicles and charging infrastructure in high-demand conditions. An example system includes a cloud-based policy administration component configured to identify the impacted area, estimate the charging demand in that area during the traffic event, and deploy mitigating policies to electric vehicles and charging stations in the area. Example responsive actions corresponding to the mitigating policies deployed to the charging stations include preparing the charging and cooling equipment to meet the estimated charging demand, charging stationary storage batteries for mitigating estimated power-demand spikes corresponding to the estimated charging demand, and charging an inventory of swappable battery packs to meet estimated battery-swap demand corresponding to the estimated charging demand. Example responsive actions corresponding to the mitigating policies deployed to individual electric vehicles enable optimal matching of the vehicles to the charging stations.
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公开(公告)号：US11535235B2
公开(公告)日：2022-12-27
申请号：US17088040
申请日：2020-11-03
Inventor： Ziheng Pan , Shyam Jade , Huei Peng
Abstract: Methods and systems for calibrating a hybrid vehicle system for simplified control of the powertrain to optimize fuel efficiency of the hybrid vehicle and for operating a hybrid vehicle powertrain accordingly. The optimization mechanism reduces the optimized control problem to a single degree-of-freedom. Accordingly, during real-time operation of the hybrid vehicle, the system is able to quickly identify and apply optimized operating settings for a particular driver demand and, in some implementations, to provide a particular rate of change of the state-of-charge of the battery of the hybrid vehicle.
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公开(公告)号：US10940750B2
公开(公告)日：2021-03-09
申请号：US15763722
申请日：2016-10-27
Inventor： Ziheng Pan , Huei Peng , Nikhil Ravi
IPC: B60K6/52 , B60K6/365 , F16H3/72 , B60K6/387 , B60K6/442 , B60K17/356 , B60K17/34 , B60K6/445 , B60K6/26 , B60K6/543 , B60K17/344 , B60K6/38 , B60K23/08 , F16H3/44
Abstract: An All-Wheel-Drive (AWD), multi-mode, power-split hybrid vehicle employing a drive combining all electric motors and an internal combustion engine, together collocated on a 2-planetary-gear (PG) set. The present teachings are capable of delivering competitive performance while maximizing fuel economy through power-split hybrid design.
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