System and method for predictive control of an energy storage system for a vehicle

• US 9,878,631 B2
• Filed: 02/25/2014
• Issued: 01/30/2018
• Est. Priority Date: 02/25/2014
• Status: Expired due to Fees

• Current Assignee: Elwha LLC (Intellectual Ventures LLC)
• Original Assignee: Elwha LLC (Intellectual Ventures LLC)
• Inventors: Hyde, Roderick A., Kare, Jordin T., Tuckerman, David B., Weaver, Thomas Allan, Wood, Jr., Lowell L.
• Primary Examiner(s): Nguyen, Bao Long T
• Application Number:
  US14/188,940
• Publication Number:
  US 20150239365A1
• Time in Patent Office: 1,435 Days
• CPC Class Codes: B60L 1/06 using only one supply
• CPC Class Codes: B60L 1/14 to electric lighting circuits
• CPC Class Codes: B60L 2240/545 Temperature
• CPC Class Codes: B60L 2240/547 Voltage
• CPC Class Codes: B60L 2240/549 Current
• CPC Class Codes: B60L 2240/622 by satellite navigation
• CPC Class Codes: B60L 2240/642 Slope of road
• CPC Class Codes: B60L 2240/662 Temperature
• CPC Class Codes: B60L 2240/667 Precipitation
• CPC Class Codes: B60L 2240/70 Interactions with external data bases, e.g. traffic centres
• CPC Class Codes: B60L 2250/10 by alarm
• CPC Class Codes: B60L 2250/12 by confirmation, e.g. of the input
• CPC Class Codes: B60L 2250/16 by display
• CPC Class Codes: B60L 2260/50 by future state prediction
• CPC Class Codes: B60L 2270/145 Structure borne vibrations
• CPC Class Codes: B60L 3/0046 relating to electric energy storage systems, e.g. batteries or capacitors
• CPC Class Codes: B60L 3/12 Recording operating variables ; Monitoring of operating variables
• CPC Class Codes: B60L 50/30 using propulsion power stored mechanically, e.g. in fly-wheels
• CPC Class Codes: B60L 50/40 using propulsion power supplied by capacitors
• CPC Class Codes: B60L 58/12 responding to state of charge [SoC]
• CPC Class Codes: B60L 58/16 : responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
• CPC Class Codes: B60L 58/22 : Balancing the charge of battery modules
• CPC Class Codes: B60L 58/26 : by cooling
• CPC Class Codes: B60L 58/27 : by heating
• CPC Class Codes: B60L 58/40 : for controlling a combination of batteries and fuel cells
• CPC Class Codes: B60L 7/12 : for vehicles propelled by dc motors
• CPC Class Codes: B60L 8/003 : Converting light into electric energy, e.g. by using photo-voltaic systems
• CPC Class Codes: Y02T 10/70 : Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 10/7072 : Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
• CPC Class Codes: Y02T 10/72 : Electric energy management in electromobility
• CPC Class Codes: Y02T 90/16 : Information or communication technologies improving the operation of electric vehicles
• CPC Class Codes: Y02T 90/40 : Application of hydrogen technology to transportation, e.g. using fuel cells

Abstract

A system and method for management of an energy storage system for a vehicle is disclosed. The energy storage system may comprise a battery system for a vehicle such as an electric vehicle or hybrid-electric vehicle. Vehicles may be in a group of fleet. The management system may be configured to use data and information available from data sources over a network or by instrumentation/sensors for vehicle systems. Data and information could be used in a system to manage the configuration and operation of the energy storage system and components, manage/control inventory and use/life-cycle of components, and/or aggregated/analyzed in analytics function for systems and components. Predictive control of the battery system may be implemented through a management system using data sources external to the vehicle. Inventive concepts and features of the systems and methods are indicated in the specification and FIGURES.

Claims

1. A method of predictive management of a battery system in a vehicle comprising vehicle systems including the battery system comprising the steps of:

(a) obtaining data relating to the vehicle in data categories from data sources;

(b) determining a duty for the vehicle;

(c) determining a configuration of the battery system;

(d) evaluating the data to predict anticipated conditions of operation for performance of the duty;

(e) operating the vehicle and vehicle systems according to the data from the data sources, predicted conditions of operation and considerations including at least predetermined objectives;

(f) monitoring conditions of operation of the vehicle in performance of the duty to obtain the data from the data sources;

(g) using the data from the data sources based on predicted conditions of operation to perform the duty to configure and manage the battery system;

(h) implementing a management plan including instructions for managing the battery system based on predicted conditions of operation for the battery system in performance of the duty, wherein the management plan includes plan segments that correspond to variations in road terrain conditions along a route of the vehicle, and wherein the instructions comprise charging of the battery system, discharging of the battery system, and transferring power between two or more battery modules of the battery system; and

(i) modifying the duty, during performance of the duty in operation of the vehicle, by at least one of setting a new, actual target destination for the vehicle or modifying an actual route of the vehicle to a predetermined destination, in response to (A) predicted conditions of operation to perform the duty, prior to modification of the duty and (B) monitored conditions of operation of the vehicle in performance of the duty, prior to modification of the duty;

wherein the new, actual target destination for the vehicle is a destination that the vehicle is actually travelling to.

2. The method of claim 1 wherein the battery system comprises at least one battery module.

3. The method of claim 1 wherein a computing system implements predictive management of the battery system through an operating program using data from the data sources.

4. The method of claim 1 further comprising assessing the status of vehicle systems including the battery system.

5. The method of claim 1 further comprising modifying the duty based on obtained data related to environmental conditions along a route of the vehicle.

6. The method of claim 1 further comprising obtaining data over a network.

7. The method of claim 1 wherein data categories comprise (a) external data sources from external sources to the vehicle and (b) vehicle system data sources.

8. The method of claim 1 wherein the data sources comprise data relating to operating conditions for the vehicle in performance of the duty.

9. The method of claim 1 wherein the data sources comprise data relating to

(a) duty or route of the vehicle;

(b) operator of the vehicle;

(c) type of the vehicle;

(d) configuration of vehicle systems;

(e) operating conditions of the vehicle in the duty; and

(f) environmental conditions of the vehicle in the duty.

10. The method of claim 3 wherein the data sources provide data as data records accessible to the computing system.

11. The method of claim 1 wherein the data sources comprise data relating to

(a) battery system configuration;

(b) battery system controller functions;

(c) battery system status; and

(d) battery system operating history.

12. The method of claim 1 wherein the data sources comprise data relating to operating conditions of the battery system.

13. The method of claim 1 implemented through a computing system configured to perform

(a) a planning and management function to provide a plan;

(b) a communication and reporting function to provide information relating to the vehicle; and

(c) a data management function to manage data available to the computing system from data sources.

14. The method of claim 1 wherein a battery type is used to classify the battery module.

15. The method of claim 1 wherein the battery system comprises a battery pack comprising a set of battery modules and the data sources comprise a data model of anticipated performance of each battery module.

16. The method of claim 1 further comprising re-configuring the battery system.

17. The system of claim 1 wherein the battery system comprises interchangeable battery modules.

18. The system of claim 1 wherein the vehicle comprises an energy source.

19. The system of claim 1 wherein the vehicle is an electric vehicle.

20. The system of claim 1 wherein the vehicle is a battery electric vehicle.

21. The system of claim 1 wherein the vehicle is a plug-in electric vehicle.

22. The system of claim 1 wherein energy is used to charge components of the battery system.