`571-272-7822
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` Paper 33
`Entered: November 8, 2021
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`UNITED STATES PATENT AND TRADEMARK OFFICE
`___________
`
`BEFORE THE PATENT TRIAL AND APPEAL BOARD
`___________
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`
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`BAYERISCHE MOTOREN WERKE
`AKTIENGESELLSCHAFT & BMW OF NORTH AMERICA, LLC,
`Petitioner,
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`v.
`
`PAICE LLC & THE ABELL FOUNDATION, INC.,
`Patent Owner.
`___________
`
`IPR2020-01299
`Patent 8,630,761 B2
`___________
`
`Record of Oral Hearing
`Held: October 19, 2021
`___________
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`Before KALYAN K. DESHPANDE, SALLY C. MEDLEY, and
`ARTHUR M. PESLAK, Administrative Patent Judges.
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`IPR2020-01299
`Patent 8,630,761 B2
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`APPEARANCES:
`
`ON BEHALF OF THE PETITIONER:
`
`VINCENT GALLUZZO, ESQ.
`SCOTT BITTMAN, ESQ.
`Crowell & Moring, LLP
`1001 Pennsylvania Avenue, N.W.
`Washington, D.C. 20004
`
`ON BEHALF OF PATENT OWNER:
`
`BRIAN LIVEDALEN, ESQ.
`Fish & Richardson, PC
`1000 Maine Avenue, S.W.
`Washington, D.C. 20024
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`The above-entitled matter came on for hearing on Tuesday, October
`19, 2021, commencing at 9:13 a.m., EDT, by video/by telephone, before
`Julie Souza, Notary Public.
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`P R O C E E D I N G S
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`JUDGE PESLAK: This is the oral hearing for IPR 2020 -
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`01299. We're conducting this all video hearing as a result of the
`shutdown of the Patent Office facilities due to Covid 19. I'm
`Judge Peslak. With me are Judges Medley and Deshpande. Will
`counsel for Petitioner please state your name and firm affiliation
`for the record and also introduce anyone else who's on the line
`with you.
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`MR. GALLUZZO: Good morning, Your Honor. This is
`Vince Galluzzo from Crowell & Moring on behalf of Petitioners.
`Also in the room with me are lead counsel Jeffrey Sanok and also
`back- up counsel Scott Bittman and Jacob Zambrzycki.
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`JUDGE PESLAK: Thank you. Good morning, Mr.
`Galluzzo. Counsel for Patent Owner, please state your name and
`firm affiliation for the record and identify anyone else who's
`there with you.
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`MR. LIVEDALEN: Good morning, Your Honor. Brian
`Livedalen from the law firm of Fish & Richardson representing
`Patent Owners Paice and Abell and with me here today is my
`colleague, Mr. Tim Riffe.
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`JUDGE PESLAK: Good morning. Counsel, for Petitioner
`you have 60 minutes in accordance with the Hearing Order. Do
`you wish to reserve any time for rebuttal?
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`MR. GALLUZZO: Yes, Your Honor. We'd like to reserve
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`ten minutes for rebuttal, please.
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`JUDGE PESLAK: Ten minutes. So you have 50 minutes.
`You can begin when ready.
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`MR. GALLUZZO: Thank you, Your Honors, and good
`morning. Again, my name is Vince Galluzzo from Crowel &
`Moring. I'll be starting us off here today but then I'll be passing
`it over to my colleague, Mr. Scott Bittman, for the majority of
`today's presentation. I'd like to begin with Petitioner's
`demonstrative slide No. 2. On this slide we see independent
`claim 1 which is of course one of the independent claims that are
`challenged in this proceeding and we've separated out in green
`and red coloring to show what's in dispute and what's not.
` As shown in green, this is the undisputed portion. This is
`what broadly claims a hybrid vehicle and as a point of reference,
`what's claimed in green here is much broader than the step point
`based control strategy of the '347 patent with its various modes
`of operation that I've presented on to Your Honors recently. All
`this requires is that there is a control of a flow of torque between
`components.
`In the red portion below limitations [e] and [f] I believe is
`how we note them in briefing. This is the disputed portion. This
`requires that the hybrid vehicle derive a predicted near-term
`pattern of operation and it requires that it does so by monitoring
`operation of the vehicle and this requires controlling operation
`responsive to that pattern. Now, again, this is very broadly
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`stated and claimed. It doesn't require any specifics about the
`monitoring. It doesn't say what to monitor, how to monitor it,
`when to monitor it, and what we're going to hear today because
`the claims are so broadly stated is what I like to call double
`speak from Patent Owners related to these pattern limitations.
`Patent Owners, rather than embracing the broad language of the
`claims that they negotiated with the Patent Office, will instead
`propose constructions of constructions in a way that twists the
`claim language from what the Patent Office granted. Because
`Patent Owners chose to claim their invention broadly, they must
`live with that decision now even in the face of invalidating prior
`art.
`
`Next to slide 3, we see a depiction of figure 3 of
`Severinsky against the undisputed portion. Now Severinsky is
`the base reference for all of the grounds here. It has all of the
`components of that broadly stated hybrid control strategy
`including the controller which we show here in purple which is
`critical for Petitioner's proposed combinations and Mr. Bittman
`will provide more detail about that in his presentation.
`Next to slide 4. We look at those disputed limitations
`again [e] and [f] and the Board's construction of predicted near-
`term pattern of operation has an expected pattern of operation.
`This is a broad claim construction and it is the claim
`construction that Patent Owner requested and the Board adopted.
`Patent Owner will argue today and has, if I counted right, half a
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`dozen slides or more trying to argue that Petitioners had some
`nefarious intent in its proposed claim construction of pattern.
`But the truth is that BMW was just using the language from the
`Board's prior decisions on the '347 patent in the four IPRs on
`how the Board had understood similar language. Patent Owner's
`arguments to the contrary, again, trying to impune BMW's intent
`is really just trying to escape the broad claim language and the
`construction that they proposed here. So to clear up any
`confusion whatsoever the Board should stick with its Institution
`decision construction and apply this broad construction to the
`prior art.
`Now, if we look specifically at limitation [e] shown at the
`top of the slide this requires that the deriving of the predicted
`pattern is done by monitoring operation of the hybrid vehicle.
`These claims are broad enough to cover a controller, the
`determined expected operation based on monitoring of past
`operation. In fact, isn't that the point of all of these systems?
`They study what went on in the past. They study what the
`vehicle did, they study what the driver did and then they use that
`collected and stored information in analysis to predict how the
`vehicle will perform in the future and then adjust control
`accordingly. Patent Owner's expert, Dr. Shahbakhti, admitted
`the same in his deposition when he testified that,
`"When you are using the word expected it's based on what
`you were observing. We expect that a trend will repeat."
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`That's Exhibit 1103, page 56, lines 7 to 9.
`As to the limitation at the bottom of the slides, limitation
`[f], this only requires that the control be "responsive to the
`expected pattern of operation." Again, this is very broad.
`There's no limitation in the claims relating to a number of
`patterns, they can just be one. That the expected pattern be
`restricted to a single trip or how the control is "responsive" to
`the pattern. The prosecution history also confirms this broad
`understanding of the claims and we'll see an excerpt of that in
`slide 5.
`Now on slide 5 we see an excerpt here where the Applicants
`emphasized the breadth of the claims in distinguishing over the
`prior art. So before I get into the details I do want to note that
`importantly Dr. Shahbakhti did not consider this submission on
`scope for the details for the file history in his analysis so his
`opinions are irrelevant to this point. But regardless of what Dr.
`Shahbakhti considered Patent Owner argued that the prior art
`was,
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`"Not monitoring operation of the particular vehicle and
`using this data to predict future operational patterns
`accordingly."
`Yet prior art that BMW's brought to Your Honors today and
`in this proceeding including Quigley and Nii teach that exact
`process.
`Slide 6. We’ll see an overview of Quigley and as shown in
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`purple, Quigley is all about predicting the use of a hybrid
`vehicle. Patent Owners claim that Quigley is not predicting
`anything but look at the title shown on the right. Predicting is in
`the very title of Quigley. How Patent Owners can argue that
`Quigley is not about predicting is just without any merit.
`Now, Mr. Bittman will present more on this but as a quick
`overview, Quigley calls its predicted use a journey and as we see
`in figure 2 shown on the right, when Quigley predicts a journey
`it will have a controller strategy for that expected journey. That
`matches Patent Owner's characterization of its claims during
`prosecution and it matches the limitations of the challenged
`claims here.
`In slide 7 we see a brief overview of Nii against the
`challenged claims and Nii, like Quigley, also discloses the
`pattern limitations of the '761 patent. Much of the previous
`discussion on Nii that Your Honors and I had related to the '347
`patent is applicable here so I won't repeat it but sufficive to say
`for purposes of this challenge, Nii explicitly teaches and this is
`what's highlighted in purple on the right,
`"A travel pattern of recognition means for recognizing
`travel repeated in accordance with a specific pattern."
`This is not just a parameter. This discloses everything that
`Patent Owner says is missing from the prior art. Nii also doesn't
`just keep that pattern or analysis for safe keeping, it does
`something with it. It modifies its control strategy accordingly.
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`This is exactly in line with the challenged claims.
`Now on slide 8, this will be my final slide but it's an
`overview of our grounds here today which Mr. Bittman will talk
`more about in a moment. The prior art disclosed deriving an
`expected pattern of operation for a vehicle in optimizing a
`control strategy based on those patterns. A person of skill in the
`art would have been motivated to optimize Severinski's
`controller strategy to similarly be responsive to expected
`patterns of operation.
`Why would a person of skill in the art do that? Well, we
`see the testimony from Dr. Davis on the left. That's a holy grail.
`If you know how a vehicle will operate you can make its control
`strategy more efficient. But not just from Dr. Davis, we also
`know from Dr. Shahbakhti, excerpt shown on the right that
`efficiency and increased fuel economy have been a goal of the
`industry for a long time. So unless the Board has any questions
`on these application of the independent claims in view of our
`prior presentation on the '347 patent, I'll now pass it over to Mr.
`Bittman for the remainder of today's presentation. Thank you,
`Your Honors.
`MR. BITTMAN: Thank you, Your Honor. This is Scott
`Bittman from Crowell & Moring for Petitioner. I'd like to start
`with talking about ground 1. If you turn to slide 10. Now as just
`explained there's no dispute that Severinsky discloses the
`controller required in claim limitations 1A through D and again
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`that is the primary base reference that we're relying on for this
`ground and actually for all of our grounds. So I want to focus
`initially on the pattern related limitations of the independent
`claims. As shown in this slide, we've included an excerpt from
`the title and the abstract. Quigley specifically teaches predicting
`the use of a vehicle at the start of a journey using intelligent
`classification techniques and a knowledge base of previous
`journey histories and using those predictions to manage energy
`flow through the drive train. As you've just seen this is exactly
`what the Applicant's believe was novel in the '761 patent over
`Severinsky. In short, predicting that a pattern of operation and
`altering the vehicle control accordingly.
`Patent Owners will put up some graphics later today with
`different colored arrows whereby they will argue that Quigley
`only looks at past vehicle operation, not future operation. But
`that is divorced from reality and just looking at past operation to
`predict future operation as set forth in the title and described
`here in the abstract and it's doing that by monitoring operation of
`the hybrid vehicle which is exactly what the claims require. It's
`not looking at past operation just for informational purposes, it's
`effecting patterns for how it expects the vehicle will similarly
`operate in the future.
`Now if we turn to slide 11. Patent Owner's other main
`dispute against Quigley is that they assert it relates to what they
`call single data points and you'll likely hear that today when they
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`say repeatedly that Quigley only discloses predicting time of
`departure, journey duration and distance of a future trip. I'd like
`to focus on this slide for a few moments because it shows that
`that simply is not true and if the Board does not accept that
`argument of Patent Owner then I believe that all, or certainly
`most, of their arguments fall apart.
`Now if you look at the left hand excerpt on this slide from
`Quigley it shows that Quigley teaches looking at habitual usage
`characteristics to predict not only journey but its associated
`characteristics and again that's shown on the left hand excerpt
`and as shown in the right hand excerpt it teaches doing that by
`monitoring operation of the vehicle such as the throttle, brake,
`engine speed, road speed, et cetera and again it teaches doing
`that so the controller can analyze and predict patterns and
`enhance control. There would be no need for this information if
`the system only needs to look at distances, as Patent Owners
`argue.
`Now, I want to take a moment to discuss what the Quigley
`reference is. It is a research paper which is broken down into
`several sections. It explains the invention up front whereby the
`authors believe that a control system can be more efficient if the
`system used intelligent control techniques to predict operation
`and adjust control. It describes why that would be done, how it
`would be accomplished and then it provides certain vehicle
`experiments to successfully prove the concept that patterns can
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`be detected and utilized. Now, Patent Owner focuses only on the
`disclosed experiments. But of course those experiments are not
`limiting of Quigley's disclosure. A person of skill in the art
`would read the reference in its entirety for all that it teaches. A
`person of skill in the art would see from the disclosure shown
`here combined with the text previously identified including in
`the abstract that teaches predicting patterns' to optimize control.
`Patent Owners are trying to say that a person of skill in the art
`would look at the experiment with blinders on but ignore the rest
`of the disclosure, but of course that is not the proper analysis
`and by presenting that argument Patent Owner appears to fault
`Quigley for having a lengthy description supported by
`experiments compared to the cursory description in its own
`patent.
`Additionally, Patent Owners admit that Quigley states that
`the controller could monitor these driver operation inputs but it
`argues that certain experiments don't actually use this data and
`this is on Patent Owner response, page 23 and you may hear this
`later today. But the issue is what a person of skill in the art
`would understand from these references. Here, and in the prior
`slide, Quigley is clearly explaining why you would determine the
`expected pattern of use of the vehicle what information would be
`needed by the control system and Dr. Shahbakhti at his
`deposition even admitted that a person of skill in the art would
`know what this information would be used for and he referenced
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`Severinsky as providing an example and that's at BMW 1103 at
`page 123, lines 7 through 13, and of course the reference should
`be read from the perspective of a person of skill in the art. A
`person of skill in the art would not ignore the broad teachings
`and just focus on the proof of concept experiments to limit the
`disclosure.
`I'd like to turn next to slide 12. Now, as demonstrated on
`the prior slide Quigley's disclosure is broader than just looking
`at the distances of travel. But I want to take a moment to focus
`on the experiments described in Quigley. As shown in the
`figures and the excerpts identified on this slide, Quigley clearly
`discloses looking at patterns related to daily travel for a person's
`commute. Here it even uses the words no obvious pattern and
`then data corresponding to a morning journey to work as well as
`high expectation of future journey of particular time and distance
`and I don't believe that there's any dispute on those points. But
`as we've already discussed, the claim language is very broad and
`we've captured the travel distances. A vehicle's operation
`includes how far it travels.
`Dr. Shahbakhti even admits and we've included an excerpt
`from his deposition on the bottom portion of this slide, that
`distances of travel can be an expected pattern of operation. In
`his answer shown here was in response to a question about a
`vehicle that travels five miles on odd number days and ten miles
`on even number days and of course the system would determine
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`that that is a pattern and that similar pattern of expected
`operation would be travelled in the future and, again, that's
`determined based on its monitoring of vehicle operation as
`shown in the figures.
`Now we turn next to slide 13. This is an excerpt from the
`'761 patent specification and we'd just like to point that
`Quigley's commuting pattern matches the example of a commute
`in the '761 patent. On this slide we've included the support for
`the patent related limitations and you'll likely see a reference to
`the road load clause on the left hand portion of the slide in
`Patent Owner's slides today. But if you read the rest of the
`passage it's talking about looking for a repetitive driving pattern
`over days or weeks and it specifically identifies a commute as an
`example of an expected pattern. Again, the claims are broad and
`not limited to any type of pattern. We'd also like to focus on the
`bottom two lines of this left hand portion of the slide, that
`excerpt, that specifically refers to travel distances covered each
`day. Again, this is showing that travel distance is within the
`scope of the disclosed expected pattern of operation. Certainly
`there's nothing in the claims that excludes this as being an
`example.
`Turn next to slide 14, please. So this slide at the top of the
`slide we've included an excerpt of figure 2 from Quigley, but
`below that we've included the requirements of what we've called
`claim 1[f]. Again, this requires the control of operation
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`responsive to the derived near- term predicted pattern of
`operation and this was described in the passages earlier but it's
`shown clearly on figure 2. As shown in the purple highlighted
`box, this refers to the expected patterns of operation that we've
`just laid out earlier. Now, it teaches that if the system is to
`expect the pattern the controller should go to the yellow box and
`specifically implement a controller strategy for that expected
`journey. In other words, it will control operation responsive to
`the predicted pattern as required by the claims.
`Now if you turn to slide 15, please. We submit that our
`proposed combination really is common sense and we've tried to
`illustrate that simply on this slide. Starting up top on the top
`right this is figure 3 from Severinsky and again there's no
`dispute that Severinsky discloses a control strategy based on a
`general purpose algorithm. It describes the control strategy to
`select the mode of operation for maximum efficiency, whether it
`be motor only, engine only or motor plus engine. But that
`strategy for determining which mode the vehicle operating is a
`one size fits all general purpose algorithm. Indeed, that's how
`Applicant's tried to distinguish their claims around Severinsky
`during prosecution.
`Now if you look at the bottom right, again this is figure 2
`that we just looked at from Quigley, Quigley also discloses a
`general purpose algorithm and we've highlighted that in the
`bottom picture in red. That's what Quigley said should be used
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`if there's no journey or pattern related information, but Quigley
`also teaches that if a pattern is indeed determined for the
`predicted future use then a control strategy for that expected
`journey should be selected and again, that's shown in yellow. In
`other words, the controller strategy should be responsive to the
`expected pattern of operation and the modification is shown most
`simply with the arrows on the right hand portion of the slide.
`Simply the general purpose control algorithm used by
`Severinsky's controller would be modified to incorporate a
`controller strategy for an expected journey as described in
`Quigley and the abstract discussed earlier even lays that out.
`If we turn next to slide 16. We have included here an
`excerpt from KSR which I know the Board is well aware, but I
`want to focus on this particular holding from KSR. It says that,
`"If a technique has been used to improve one device, and a
`person of ordinary skill in the art would recognize that it would
`improve similar devices in the same way, using a technique is
`obvious unless the actual application is beyond his or her skill."
`And we submit that this combination presents the
`application of that principle. But let's look at the bottom clause,
`in this case our excerpt, as to whether the technique would be
`beyond the level of skill of a person of skill in the art.
`I'd like to skip one slide and turn to slide 18 next. So on
`this slide we look at whether a person of skill in the art would
`have had an expectation of success and including whether the
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`application were beyond the skill of a person of skill in the art.
`If you look at the bottom left excerpt on this slide, this is
`directly from the '761 patent specification and this specification
`admits it's within the skill of the art to record and analyze but
`also to adopt the control strategy responsive to patterns. So this
`shows clearly here that they've admitted that it's not beyond the
`level of skill of a person of skill in the art which is the language
`of KSR.
`But we've also shown elsewhere on this slide that a person
`of skill in the art would have had an expectation of success.
`Starting with the top excerpt which is from Quigley, again that
`explains that the modification uses signals derived from
`technology already in modern day vehicles. If you look at the
`top right Dr. Davis explains that a person of skill in the art
`would only need to modify the logic reflecting the predicted
`journey. If you look at the bottom right Dr. Shahbakhti, who is
`Patent Owner's expert, he testified that pattern recognition is a
`very broad area and that there's a whole field of engineering
`dedicated to it.
`Now, if you turn back one slide to slide 17. Now, Mr.
`Galluzzo in his slides identified some of the well known
`motivations that would be recognized for this application but
`we've identified additional support within the references
`themselves on this slide 17. Starting at the top left we've
`included an excerpt from Severinsky. An express goal of
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`Severinsky's disclosure was to optimize parameters to ensure that
`the engine is operated at its maximum point of efficiency. It
`expressly states that there are a number of parameters that are
`relevant to that performance and one of them is including
`optimizing the control algorithm which is exactly what we are
`proposing here. If you look at the top right we've included two
`excerpts from Quigley. Quigley talks about how to obtain
`optimum control. It says if you look for parameters available
`upon journey completion then you could obtain the optimum
`control. In other words, you want to tailor the control system to
`how it predicts the vehicle will be operating and by doing so you
`could obtain optimal operation with respect to exhaust emissions
`and fuel consumption. So the motivation is clear from the
`references themselves but Dr. Davis also testifies that a person
`of skill in the art would make the combination for fuel efficiency
`reasons. Accordingly, we submit that claim 1 is obvious over
`Severinsky in view of Quigley. I'll pause for questions on this
`claim if there are any, otherwise I'll move next to the dependent
`claims.
`Okay. So if we could turn to slide 25. So we've laid out in
`our petition the obviousness arguments for claims 3, 5, 6, 9, 11
`and 12. As we note on this slide Patent Owners have not
`disagreed with any of those arguments. So we'd like to focus
`now on the claims they have disputed and I'd like to first talk
`about claim 2 and claim 8 but we're focusing on claim 2 because
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`the language of claim 8 is the same. Claim 2 adds the
`requirement that the derived predicted pattern include at least
`one repetitive pattern and we've included an excerpt here from
`Quigley. It says Quigley monitors travel for habitual
`characteristics and I don't believe that habit can exist without
`repetition. So we submit that habitual uses characteristics would
`include at least one repetitive pattern. Quigley also shows --
`JUDGE PESLAK: Mr. Bittman?
`MR. BITTMAN: Yes.
`JUDGE PESLAK: What's the difference between a
`predicted pattern and a repetitive pattern in this claim?
`MR. BITTMAN: Well, Your Honor, we submit that a
`repetitive pattern is a predicted pattern and we've shown that the
`patterns, you know, claim 1 is broader, claim 2 should be
`narrower but we believe we've met both. Again, the habitual
`characteristics would be a repetitive pattern. You know, there
`may be some reason why the pattern would be broader but we
`believe that our references show patterns that would be
`repetitive.
`JUDGE PESLAK: Okay.
`MR. BITTMAN: On this slide Quigley also shows that a
`pattern can be determined from repeating travel on a commute.
`Again, that is repetitive pattern which matches the '761 patent
`example. Now, Patent Owner's argument here is that Quigley is
`only based on the repetitive pattern but of course the claims
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`require that the pattern is determined based on monitoring of
`vehicle operations. That's directly in the claims and we show a
`quote here from Dr. Shahbakhti that of course the way these
`systems work are by expecting that a monitor trend will repeat.
`Again, it looks at the pattern of the past and expects the system
`will behave similarly in the future.
`If we turn next to slide 26 and let's address claims 4 and 10
`and again these have the same wording so I'd like to focus on
`claim 4. Again, this claim is broad. It really just adds to the
`prior claims that the controller monitors and compares variations
`of road load.
`If we turn next to slide 27. Now it's important to remember
`that the combination of ground 1 starts with the controller of
`Severinsky and we've included an excerpt here from Severinsky
`on the top of the page. Severinsky discloses that the
`microprocessor determines the load at all times. As this Board
`has previously determined, Severinsky teaches an engine control
`strategy that depends on road load and the reason Severinsky
`uses road load is compare those values to set points to determine
`which mode to operate in, whether it be engine, motor only or
`both. So if the controller is already monitoring the road load for
`its control strategy, the person of skill in the art viewing Quigley
`would understand that systems could be made intelligent and
`more efficient based on expected patterns of operation. Common
`sense would dictate that a person of ordinary skill in the art
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`modifying Severinsky will look for and utilize the patterns of the
`road load.
`JUDGE PESLAK: Mr. Bittman, but aren't you asking us to
`use common sense though to make a finding on a claim limitation
`because this is a method claim and it requires this specific
`comparison and I don't see Quigley talking about road load and I
`don't see that kind of comparison in Severinsky. I don't think we
`can use common sense to find a claim limitation.
`MR. BITTMAN: Well, Your Honor, we believe that claim
`limitation, and I think I address that point on the next slide if I
`could talk to that and of course --
`JUDGE PESLAK: Sure, sure that --
`MR. BITTMAN: -- if you don't feel that I've addressed it.
`If you turn to slide 28. Now on slide 28 we show some of the
`evidence directly from Quigley and Dr. Davis further supporting
`that point. Again, Quigley explains that its teachings can be
`used to manage energy flow through the hybrid drive train for
`optimum control and the way it teaches doing that is by using
`intelligent classification techniques and knowledge-based
`previous journey histories.
`Now, Patent Owners argue and I think this was along the
`lines of your question, and you'll see this also as one of the key
`points that they highlight on their slides today, that the prior art
`is silent with regard to maintaining a historical record
`concerning the road load. But again as shown here Quigley
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`expressly teaches you determine the expected journey by looking
`at the knowledge of previous journeys. So of course a person
`skilled in the art modifying Severinsky's road load based control
`strategy to incorporate Quigley's pattern related teachings would
`maintain a historical record of road load and that's how the
`controller would be able to determine whether p